Our mission is to detect cancer early, when it can be cured. We are working to change the trajectory of cancer mortality and bring stakeholders together to adopt innovative, safe, and effective technologies that can transform cancer care.
We are a healthcare company, pioneering new technologies to advance early cancer detection. We have built a multi-disciplinary organization of scientists, engineers, and physicians and we are using the power of next-generation sequencing (NGS), population-scale clinical studies, and state-of-the-art computer science and data science to overcome one of medicine’s greatest challenges.
GRAIL is headquartered in the bay area of California, with locations in Washington, D.C., North Carolina, and the United Kingdom. It is supported by leading global investors and pharmaceutical, technology, and healthcare companies.
For more information, please visit grail.com
GRAIL is seeking a Senior Data Scientist to join the Machine Learning team within the Computational Biology and Machine Learning (CBML) group. In this role, you will work at the intersection of machine learning, genomics, and clinical science to advance early cancer detection. You will collaborate closely with scientists, engineers, and clinicians to identify novel biological signals, improve classification performance, and develop innovative approaches for cancer detection and categorization using GRAIL’s rich sequencing datasets.
This is a highly impactful role where you will apply state-of-the-art machine learning techniques—including modern AI approaches—to real-world clinical challenges. Your work will directly contribute to scientific discoveries, peer-reviewed publications, and the development of transformative products for early cancer detection.
This is a hybrid role based in Menlo Park, CA (moving to Sunnyvale, CA in Fall 2026). Our current flexible work arrangement policy requires that a minimum of 40%, or 16 hours, of your total work week be on-site. Your specific schedule, determined in collaboration with your manager, will align with team and business needs and could exceed the 40% requirement for the site.
These responsibilities summarize the role’s primary responsibilities and are not an exhaustive list. They may change at the company’s discretion.
The expected, full-time, annual base pay scale for this position is 156K - $187K. Actual base pay will consider skills, experience, and location.
This role may be eligible for other forms of compensation, including an annual bonus and/or incentives, subject to the terms of the applicable plans and Company discretion. This range reflects a good-faith estimate of the range that the Company reasonably expects to pay for the position upon hire; the actual compensation offered may vary depending on factors such as the candidate’s qualifications. Employees in this role are also eligible for GRAIL’s comprehensive and competitive benefits package, offered in accordance with our applicable plans and policies. This package currently includes flexible time-off or vacation; a 401(k) retirement plan with employer match; medical, dental, and vision coverage; and carefully selected mindfulness programs.
GRAIL is an equal employment opportunity employer, and we are committed to building a workplace where every individual can thrive, contribute, and grow. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, disability, status as a protected veteran, , or any other class or characteristic protected by applicable federal, state, and local laws. Additionally, GRAIL will consider for employment qualified applicants with arrest and conviction records in a manner consistent with applicable law and provide reasonable accommodations to qualified individuals with disabilities. Please contact us at rc@grailbio.com if you require an accommodation to apply for an open position.
GRAIL maintains a drug-free workplace. We welcome job-seekers from all backgrounds to join us!
GenBio AI develops multiscale foundation models to decode and simulate human biology. Our team is accelerating towards an ambitious future where scientists can unlock humanity's biggest challenges in drug discovery, healthcare, and fundamental research with AIDO (AI-Driven Digital Organism): a unified framework for predicting, simulating, and programming biology across all scales. The foundation of this vision begins today as we engineer the virtual cell to model and simulate the fundamental unit of life.
This vision has brought together a talent-dense group of product-minded researchers and engineers dedicated to bringing it to reality. Our team prides itself on our strong engineering culture and highly interdisciplinary and collaborative approach. We are based in Palo Alto, with satellite offices in Paris and Abu Dhabi.
This role combines research in AI for structural biology with the application of our models to real-world scientific challenges. The successful candidate will contribute to model development, lead computational discovery efforts in collaboration with external partners, and help translate research advances into impactful outcomes. Depending on business needs, time may be split between partner-facing scientific projects and internal research initiatives.
Job Requirements
Preferred Qualifications
A Rare Opportunity to Shape the Future of Genomics
Join a team of brilliant, passionate innovators determined to transform healthcare. At BillionToOne, we've built a category-defining, publicly traded company on Nasdaq where transparency fuels trust, collaboration drives breakthroughs, and every contribution moves the needle on our mission to make life-changing diagnostics accessible to all. We don't just aim for incremental improvements; we build products that are 10x better than anything that exists today.
Our scientists, engineers, sales executives, and visionaries are united by an unwavering commitment to changing the standard of care in prenatal and cancer diagnostics. This is where cutting-edge science meets human compassion, and every innovation you contribute helps remove the fear of the unknown from some of life's most critical medical moments.
If you're driven by purpose, energized by innovation, and ready to help shape the future of precision medicine at scale, this is where you belong.
We are looking for a Quality Engineer, Prenatal Lab Operations with a strong background in the LDT environment and expertise in lab practices, bioinformatics, report automation, assays, and reagents. Additionally, you will possess a deep understanding of quality tools and practices to ensure the highest standards of our products and services. In this role you will be responsible for identifying, developing, and executing process improvements and will work closely with cross-functional stakeholders across BillionToOne (e.g. Lab Operations, Bioinformatics, Process Engineering, Software Engineering, R&D). You will lead the analysis of data to identify improvement initiatives and will execute those process improvements from initial requirements gathering to go-live and further continuous improvement. This role is an onsite position in Union City, CA and reports to the Quality Manager, Prenatal.
Responsibilities:
Qualifications:
Nice-To-Haves:
Benefits And Perks:
At BillionToOne, we are proud to offer a combination of a (1) base pay range (actual amount offered is based on experience and salary/equity options split that the candidate chooses), (2) generous equity options offering, (3) corporate bonus program, on top of (4) industry leading company benefits (free healthcare options, 401k match, very generous fully paid parental leave, etc.).
For this position, we offer a total compensation package of $172,379 per year, including a base pay range of $123,262 - $133,981 per year.
BillionToOne is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
For more information about how we protect your information, we encourage you to review our Privacy Policy.
BillionToOne is a next-generation molecular diagnostics company on a mission to make powerful, accurate diagnostic tests accessible to everyone. Our revolutionary QCT molecular counting technology enhances disease detection resolution by over a thousandfold using cell-free DNA,a breakthrough that has already transformed the lives of over half a million patients worldwide.
Our Impact
Unity Complete™ is the only non-invasive prenatal screen capable of assessing fetal risk for both common recessive conditions and aneuploidies from a single maternal blood sample.Unity Confirm™ enables non-invasive confirmation for high-risk screening results through the capture of intact circulating fetal cells using BillionToOne’s Fetal Cell Capture™ Technology.Our Northstar® liquid biopsy test uniquely combines treatment selection with real-time monitoring, giving oncologists unprecedented precision in cancer care.
Our Growth
From $0 to $400M+ annualized revenue run-rate in just 6 years. In 2025, we completed one of the most successful IPOs for a medical diagnostics company, building on nearly $400M in private funding,including our $130M Series D in 2024 and backed by world-class investors including Hummingbird, Adams Street Partners, Neuberger Berman, Baillie Gifford, and Premji Invest.
Our Recognition
Forbes named us one of America's Best Startup Employers for 2025 and we're Great Place to Work certified, with 100% of our people willing to go the extra mile, even as we've scaled to over 700 employees.
Our Future
Headquartered in Menlo Park with facilities in Union City, CA, and a new lab opening in Austin, TX in 2027, we're continuing to push the boundaries of what's possible in molecular diagnostics. We're just getting started.
Ready to help us change the world, one molecule at a time? Learn more at billiontoone.com
10x Genomics is establishing a diagnostics effort to translate its leading single-cell and spatial genomics technologies into impactful clinical applications. This position performs and provides scientific and technical oversight for high-complexity next-generation sequencing (NGS) assays within a CLIA-certified laboratory.
The Technical Supervisor serves as the subject matter expert for assay validation, quality systems, and troubleshooting, partnering closely with laboratory leadership to maintain operational excellence and continuous improvement.
This role is accountable for ensuring the operational execution, analytical validity, performance, and regulatory compliance of all clinical NGS testing.
The hiring range for this position is $158,400 to $214,400 USD per year, depending on unique skills, qualifications, and experience.
In addition to base pay, 10x Genomics offers a comprehensive total rewards package:
Candidate Security Notice: Please be aware of recruitment scams impersonating 10x Genomics. All official recruiting communication will come exclusively from email addresses ending in @10xgenomics.com. Candidates are encouraged to apply directly via Careers.10xgenomics.com. The company will never request payment or sensitive personal financial information during the recruiting process.
10x Genomics is an Equal Opportunity Employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other characteristic protected by applicable law.
Deep Genomics is at the forefront of using artificial intelligence to transform drug discovery. Our proprietary AI platform decodes the complexity of RNA biology to identify novel drug targets, mechanisms, and therapeutics inaccessible through traditional methods. With expertise spanning machine learning, bioinformatics, data science, engineering, and drug development, our multidisciplinary team is revolutionizing how new medicines are created.
We are seeking an exceptional and creative Senior/Staff Machine Learning Scientist to lead and innovate within our core AI research team. Rather than just applying out-of-the-box ML to biological datasets, you will pioneer novel deep learning architectures and pre-training paradigms that learn the fundamental language of the genome and cellular biology. This is a unique opportunity for a first-principles thinker excited to bridge advanced ML with genome biology to solve frontier problems in human health.
Deep Genomics is at the forefront of using artificial intelligence to transform drug discovery. Our proprietary AI platform decodes the complexity of RNA biology to identify novel drug targets, mechanisms, and therapeutics inaccessible through traditional methods. With expertise spanning machine learning, bioinformatics, data science, engineering, and drug development, our multidisciplinary team is revolutionizing how new medicines are created.
We are looking for a research engineer who bridges the gap between fast-paced, experimental academic ML research and robust production systems. You possess a solid mathematical foundation and a deep understanding of modern ML architectures, combined with the technical skills to write clean and highly optimized PyTorch code. You take pride in creating core tooling that empowers research teams to move fast without breaking everything.
Profluent is an AI-first protein design company developing deep generative models to invent novel, functional proteins that revolutionize biomedicine. Founded in 2022 and headquartered in Emeryville, CA, Profluent fuses generative AI with high-throughput experimental biology. Backed by top-tier investors (including Altimeter Capital, Bezos Expeditions, and Spark Capital), the company has raised over $150M to date.
The Project Manager acts as the operational backbone of Profluent's internal and external programs. Partnering directly with Alliance Management and scientific teams, this role translates complex scientific contracts, Statements of Work (SOWs), and partner milestones into highly organized, visual, and trackable project plans. You will map out and manage cross-functional critical paths across machine learning model training loops, bioinformatics pipelines, and wet-lab validation sprints.
Profluent Bio, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law. Legal authorization to work in the United States and compliance with federal employment eligibility verification (Form I-9) is required upon hire.
BillionToOne is a category-defining, publicly traded molecular diagnostics company on Nasdaq that has grown from $0 to a $400M+ annualized revenue run-rate in just 6 years. Utilizing their proprietary QCT molecular counting technology, they build life-changing prenatal and cancer diagnostic products (such as Unity Complete™, Unity Confirm™, and Northstar®) that are 10x better than anything existing today.
Data scientists at BillionToOne are "full-stack" contributors who span the entire analytics value chain. In this role, you will wear a data engineering hat to land data into a central warehouse, an analytics engineering hat to model and test it, and a data science hat to build dashboards, deploy AI-powered analysis workflows, and surface insights that drive decisions across commercial, laboratory, clinical, and executive teams.
BillionToOne offers a flexible total rewards structure combining a competitive base salary (tailored to experience and a candidate-selected salary/equity split), a corporate bonus program, and a comprehensive equity options package.
BillionToOne maintains an open, transparent culture supported by weekly company-wide Town Hall meetings. They are Great Place to Work certified and were named by Forbes as one of America's Best Startup Employers.
To review how candidate information is handled during the recruitment process, please consult the BillionToOne Privacy Policy. As an equal opportunity employer, BillionToOne prohibits discrimination on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Altos Labs is a mission-driven biotechnology company focused on restoring cell health and resilience through cell rejuvenation to reverse disease, injury, and disabilities. Named one of the Top 3大 Biotech Companies and ranked on the Forbes Best Startups in America list, Altos Labs brings together exceptional global scientists and industry leaders within an inclusive, collaborative culture centered on scientific excellence and belonging.
The Mass Spectrometry Hub sits within the Institute of Technology, utilizing an array of cutting-edge instrumentation. The Metabolomics Group Lead is responsible for the end-to-end management of metabolomics and lipidomics projects—spanning experimental design, sample preparation, measurement, data processing, and delivery. This role collaborates closely with scientific and bioinformatics teams to guarantee robust data generation and maintain operational excellence across liquid chromatography-mass spectrometry (LC-MS) platforms.
Single Altos Value: Everyone Owns Achieving Our Inspiring Mission.
Altos Labs provides equal employment opportunities to all employees and applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law.
Altos Labs will never ask you to download a third-party messaging app for an interview, nor will they require an outlay of your own money to begin employment. If you experience an interaction matching this description from individuals claiming to represent the company, it is a fraudulent job scam.
At Element Biosciences, we are passionate about our mission to empower the scientific community with more freedom and flexibility to accelerate our collective impact on humanity. We have built a highly efficient product-driven organization where employees can learn, grow, and thrive in a challenging but encouraging environment. We are committed to scientific integrity, collegiality, honesty, objectivity, and openness.
We are seeking an experienced Technical Applications Scientist who will play a pivotal role in addressing applications and informatics inquiries and concerns for our customers. This position requires exceptional technical proficiency, customer management skills, and an ability to work cross functionally with Commercial and R&D partners to deliver a strong end user experience.
The base compensation range for this role is $90,000 - $110,000. Base compensation will depend on multiple factors, including geographic location, qualifications, and experience.
In addition to base compensation, you will be eligible for:
We foster an environment such that all people are afforded the freedom to pursue their passions without regard to race, color, religion, national or ethnic origin, gender (including pregnancy), sexual orientation, gender identity or expression, age, disability, veteran status or any other characteristics protected by law.
Biohub is the first large-scale initiative bringing frontier AI models, massive compute, and frontier experimental capabilities under one roof. We're building a general-purpose system to accelerate scientific discovery, integrating frontier AI models, biological foundation models, and lab capabilities, with the ultimate goal of curing disease. Our technology powers scientists around the world, translating AI capabilities into tools that accelerate research everywhere.
Biohub is a 501(c)(3) biomedical research organization building the first large-scale scientific initiative combining frontier AI with frontier biology to solve disease. We build the technology to help scientists around the world use AI-powered biology to study how cells operate, organize, and work as part of systems to understand why disease happens and how to correct it. With our compute capacity, AI research and engineering, and state-of-the-art technology for measuring, imaging, and programming biology, we are enabling scientists worldwide to use AI-powered biology to advance our understanding of human health.
The role is part of the Data Engineering team, which focuses on owning the strategy, sourcing and implementation for data supporting AI research and development. Our goal is to maximize the speed, agility, and capability of biological AI research by connecting public data resources and Biohub's experimental platforms to AI systems. The data that trains biological frontier models comes in dozens of modalities (sequences, images, spatial coordinates, time series, molecular structures, metadata, publication artifacts) each with its own noise characteristics, biases, and information content. The question of how to represent this data for learning is one of the most important open problems in biological AI.
As a data engineer at Biohub, you'll be designing systems that ingest data from public repositories, transform heterogeneous biological formats into AI-ready datasets, combine that with proprietary datasets, and deliver training datasets to researchers pushing the boundaries of what's possible in biological AI. The infrastructure you build will directly shape what our models can learn.
We're a small team with significant resources and long time horizons. We use AI tools aggressively in our own work—Claude Code, agents for workflow automation, LLMs for metadata extraction. We care about code quality, operational reliability, and building systems that scale. And we care about the biology: we want engineers who can recognize when a pipeline output is technically correct but scientifically wrong.
If you want to work at the intersection of large-scale infrastructure and frontier science, with real autonomy and the chance to build something genuinely new, we'd like to talk.
The future anticipated Redwood City, CA, and New York City, NY base pay range for a role in this field is $241,000–$338,000 annually. Compensation ranges will vary based on job-related skills, level of experience, and knowledge. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process.
As we grow, we’re excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment. This role is a hybrid position requiring you to be onsite for at least 60% of the working month, approximately 3 days a week, with specific in-office days determined by the team’s manager. The exact schedule will be at the hiring manager's discretion and communicated during the interview process.
We’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible.
If you’re interested in a role but your previous experience doesn’t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.
We are seeking an Associate Director/Director-level computational scientist to drive the analytical and regulatory dimensions of diagnostic test development at Precede Biosciences. Reporting to the Senior Director of Computational Test Development, this role sits at the center of our effort to bring a novel epigenomics-based liquid biopsy platform from late-stage development through FDA regulatory submission.
You will lead the analytical strategy and bioinformatics infrastructure verification that underlies our validation programs. You will drive the interpretation of complex data, guide pipeline execution, and author critical regulatory documentation in close partnership with laboratory, clinical, and regulatory teams.
We are pioneering an advanced, minimally invasive, comprehensive epigenomics platform with the potential to profoundly impact the research and development of new medicines and the use of approved medicines in clinical practice across a number of conditions, including cancer. More information on our company and platform can be found on our company website and in our seminal publication in Nature Medicine.
We care deeply about creating a place where folks can do their best work from the start and have intentionally created an environment that is defined by purpose, teamwork, and excellence. This means nurturing team spirit, facing challenges together, and collaboratively solving complex problems, while also ensuring a strong focus on individual initiative, accountability, and delivery.
Profluent is an AI-first protein design company. Founded in 2022, we develop deep generative models to design and validate novel, functional proteins to revolutionize biomedicine. Based in Emeryville, CA, we are backed by leading investors including Altimeter Capital, Bezos Expeditions, Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures, and have raised over $150M to date.
We're looking for a motivated and creative Machine Learning (ML) Scientist to drive research into models at the intersection of complex protein biology and AI. This position offers an opportunity to work at the forefront of generative modeling research across language processing, representation learning, and protein engineering. You should be a self-directed researcher who has the ability to rapidly prototype and evaluate new models and algorithms in the biomolecular domain.
As an early employee, you will proactively shape the direction of our machine learning efforts and collaborate across diverse teams of computational and experimental scientists.
$200,000 — $330,000 USD
Profluent Bio, Inc is an equal opportunity employer promoting diversity and inclusion in the workspace. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical conditions, veteran status, sexual orientation, gender (including gender identity and gender expression), sex (which includes pregnancy, childbirth, and breastfeeding), genetic information, taking or requesting statutorily protected leave, or any other basis protected by law.
Legal authorization to work in the United States is required. In compliance with federal law, all persons hired must verify their identity and work eligibility and complete the required employment verification form upon hire.
Profluent is an AI-first protein design company. Founded in 2022, we develop deep generative models to design and validate novel, functional proteins to revolutionize biomedicine. Based in Emeryville, CA, we are backed by leading investors including Altimeter Capital, Bezos Expeditions, Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures, and have raised over $150M to date.
Profluent is seeking a creative and enthusiastic Scientist II - Sr. Scientist to build and apply experimental workflows that characterize the specificity, safety, and developability of our personalized CRISPR base editing platform. This role will initially focus on establishing and scaling base-editor specificity workflows, including biochemical and cell-based approaches such as CHANGE-seq-BE and related methods for identifying DNA and RNA off-target activity. In the longer term, the candidate will spearhead off-target assessments for novel gene editing platforms such as engineered recombinases.
The candidate will work closely with protein engineering, cell biology, bioinformatics, automation, and program teams to generate decision-quality datasets that guide editor design, candidate selection, and therapeutic program development. This person will be responsible for benchmarking assays, interpreting NGS-based specificity data, identifying limitations and opportunities across methods, and building robust workflows that can be deployed across editing modalities and disease-relevant contexts.
This is an excellent opportunity to shape how AI-designed genome editing systems are evaluated and advanced, and to work cross-functionally with a diverse team of experts across machine learning, protein engineering, cell biology, genomics, and gene editing.
$147,000 — $177,000 USD
Applicants must have ongoing work authorization in the United States that does not require employer sponsorship. Sponsorship will not be provided now or at any time in the future for this position.
Legal authorization to work in the United States is required. In compliance with federal law, all persons hired must verify their identity and work eligibility and complete the required employment verification form upon hire.
Profluent Bio, Inc is an equal opportunity employer promoting diversity and inclusion in the workspace. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical conditions, veteran status, sexual orientation, gender (including gender identity and gender expression), sex (which includes pregnancy, childbirth, and breastfeeding), genetic information, taking or requesting statutorily protected leave, or any other basis protected by law.
Profluent is an AI-first protein design company. Founded in 2022, we develop deep generative models to design and validate novel, functional proteins to revolutionize biomedicine. Based in Emeryville, CA, we are backed by leading investors including Altimeter Capital, Bezos Expeditions, Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures, and have raised over $150M to date.
We're looking for a motivated and creative Machine Learning (ML) Scientist to drive research into reinforcement learning for biomolecular design. This position offers an opportunity to work at the forefront of generative modeling research across language processing, representation learning, and protein engineering. You should be a self-directed researcher who has the ability to rapidly prototype and evaluate new models and algorithms in the biomolecular domain.
As an early employee, you will proactively shape the direction of our machine learning efforts and collaborate across diverse teams of computational and experimental scientists.
$200,000 — $330,000 USD
Profluent Bio, Inc is an equal opportunity employer promoting diversity and inclusion in the workspace. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical conditions, veteran status, sexual orientation, gender (including gender identity and gender expression), sex (which includes pregnancy, childbirth, and breastfeeding), genetic information, taking or requesting statutorily protected leave, or any other basis protected by law.
Legal authorization to work in the United States is required. In compliance with federal law, all persons hired must verify their identity and work eligibility and complete the required employment verification form upon hire.
Join a team of brilliant, passionate innovators determined to transform healthcare. At BillionToOne, we've built a category-defining, publicly traded company on Nasdaq where transparency fuels trust, collaboration drives breakthroughs, and every contribution moves the needle on our mission to make life-changing diagnostics accessible to all. We don't just aim for incremental improvements; we build products that are 10x better than anything that exists today.
Our scientists, engineers, sales executives, and visionaries are united by an unwavering commitment to changing the standard of care in prenatal and cancer diagnostics. This is where cutting-edge science meets human compassion, and every innovation you contribute helps remove the fear of the unknown from some of life's most critical medical moments.
If you're driven by purpose, energized by innovation, and ready to help shape the future of precision medicine at scale, this is where you belong.
The Research Associate position at BillionToOne is exceptionally rare at the undergraduate or early-career level. At BillionToOne, you will do much more than simply run routine protocols. Your work will shape the development of high-impact molecular diagnostic products that are actively changing patient outcomes in both oncology and prenatal medicine. This is your chance to contribute to building novel molecular tests that help patients from day one.
You will work alongside and be mentored by scientists with interdisciplinary expertise across molecular biology, genomics, bioinformatics, and quantitative modeling. You will have the chance to use cutting-edge molecular techniques, next-generation sequencing, and robotic tools to move assays from research prototypes to analyzing thousands of real patient samples in our clinical lab as a commercially available product. Whether your ambition is to grow here at BillionToOne or ultimately pursue graduate studies, this position would be a solid foundation for your scientific career.
BillionToOne is a next-generation molecular diagnostics company on a mission to make powerful, accurate diagnostic tests accessible to everyone. Our revolutionary QCT molecular counting technology enhances disease detection resolution by over a thousandfold using cell-free DNA, a breakthrough that has already transformed the lives of over half a million patients worldwide.
From $0 to $150M+ in Annual Recurring Revenue in just five years. In 2025, we completed one of the most successful IPOs for a medical diagnostics company, building on nearly $400M in private funding, including our $130M Series D in 2024 and backed by world-class investors including Hummingbird, Adams Street Partners, Neuberger Berman, Baillie Gifford, and Premji Invest. Forbes named us one of America's Best Startup Employers for 2025 and we're Great Place to Work certified, with 100% of our people willing to go the extra mile, even as we've scaled to over 700 employees.
Headquartered in Menlo Park with facilities in Union City, CA, and a new lab opening in Austin, TX in 2027, we're continuing to push the boundaries of what's possible in molecular diagnostics. We're just getting started.
Ready to help us change the world, one molecule at a time? Learn more at billiontoone.com
BillionToOne is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
For more information about how we protect your information, we encourage you to review our Privacy Policy.
GATC Health is an innovative TechBio company at the forefront of revolutionizing pharmaceutical discovery and accelerating their development through the integration of artificial intelligence (AI), science and finance. Our company is dedicated to advancing therapeutic discoveries and improving human health by leveraging the power of technology and interdisciplinary collaboration.
We are seeking a talented Bioinformatics Analyst to join our dynamic, multi-disciplinary team that is responsible for implementing and aiding in design and analysis software and informatics pipelines for primary, secondary, and tertiary analysis of data generated from transcriptional, proteomic, and mult-omic assays. As a Bioinformatics Scientist, you will innovate, develop and implement novel analysis methods for different data types from sparse to large and complex datasets to support the internal development and validation of new pharmaceutical assets and the development of end-user, customer-facing data analysis and visualization for biotech customers and stakeholders. A highly motivated scientist with broad expertise and experience in bioinformatics, computational biology, transcriptomics, proteomics and multi-omics would be an ideal fit for this position.
Personalis, Inc. is a leader in advanced genomics for precision oncology. Our signature platform, NeXT Personal, is an ultra-sensitive, tumor-informed, WGS-based (Whole-Genome Sequencing) liquid biopsy assay designed to detect minimal residual disease (MRD) and cancer recurrence.
By leveraging whole-genome sequencing of a patient's tumor and matched normal samples, NeXT Personal creates a personalized panel of up to 1,800 somatic variants. This enables the detection of circulating tumor DNA (ctDNA) at incredibly low levels—down to approximately 1-3 parts per million (PPM)—in blood samples. To enable scale, cancer research, and population sequencing, the Personalis Clinical Laboratory was built from the ground up with a strict focus on clinical accuracy, quality, big data, and operational efficiency.
We are seeking a Bioinformatics Senior Scientist to join a world-class, dynamic team of bioinformatics scientists, software engineers, and laboratory scientists. In this role, you will develop, test, and apply cutting-edge cell-free and solid tumor cancer genomics products.
Working alongside our clinical evidence generation teams, you will apply our cell-free solutions to large cancer patient cohorts, profiling patient responses to therapy using our cfDNA (cell-free DNA) platforms. This position directly contributes to a new generation of genomics-based precision medicine products used by pharmaceutical partners, biotech companies, hospitals, and clinicians for therapeutic selection and patient treatment management.
The hiring range for this position is $155,000 to $190,000 per year. The base pay actually offered will take into account internal equity, geographic region, and the candidate’s specific job-related knowledge, skills, and experience.
In addition to base compensation, full-time regular positions include:
At Personalis, we value your security. All official correspondence from our team will come exclusively from @personalis.com email addresses. We will never ask for personal financial information or conduct interviews over text/chat platforms. If you receive a suspicious request, it is likely a scam. We are committed to a safe recruitment experience and actively work with authorities to investigate cyber crimes targeting our community.
Personalis is an Equal Opportunity Employer (Minorities/Females/Veterans/Disabilities) committed to the full inclusion of all individuals. As part of this commitment, we ensure that persons with disabilities are provided with reasonable accommodations. If you need an accommodation to participate in the job application or interview process, please inform your recruiter when they contact you.
At Element Biosciences, we are passionate about our mission to empower the scientific community with more freedom and flexibility to accelerate our collective impact on humanity. We have built a highly efficient product-driven organization where employees can learn, grow, and thrive in a challenging but encouraging environment. We are committed to scientific integrity, collegiality, honesty, objectivity, and openness.
We're hiring a Staff Product Owner to lead software development for our multi-omic data generation instruments. You'll own the product surface where instrumentation, cloud analytics, bioinformatics, and user workflows converge.
This is a senior individual contributor (IC) role. While you won't manage direct reports, you will set direction across multiple scrum teams and act as the connective tissue between bioinformatics, hardware, chemistry, cloud, and instrument control. You should be comfortable getting hands-on prototyping, writing scripts, and running test suites—not just writing tickets.
In addition to the base salary range of $144,000 - $190,000 (dependent on geographic location, qualifications, and experience), Element Biosciences offers a comprehensive benefits package:
We foster an environment such that all people are afforded the freedom to pursue their passions without regard to race, color, religion, national or ethnic origin, gender (including pregnancy), sexual orientation, gender identity or expression, age, disability, veteran status or any other characteristics protected by law.
Biohub is the first large-scale initiative bringing frontier AI models, massive compute, and frontier experimental capabilities under one roof. We're building a general-purpose system to accelerate scientific discovery, integrating frontier AI models, biological foundation models, and lab capabilities, with the ultimate goal of curing disease. Our technology powers scientists around the world, translating AI capabilities into tools that accelerate research everywhere.
The Biohub is a group of nonprofit research institutes that bring together scientists, engineers, and physicians with the goal of pursuing grand scientific challenges on 10- to 15-year time horizons. The Biohub focuses on understanding underlying mechanisms of disease and developing new technologies that will lead to actionable diagnostics and effective therapies.
Diversity of thought, ideas, and perspectives are at the heart of Biohub and enable disruptive innovation and scholarly excellence. We are committed to cultivating an organization where all colleagues feel inspired and know their work makes an important contribution.
The Biohub Chicago is seeking an exceptional Computational Biologist, Spatiotemporal Multi-Omics to join our growing team. We are looking for a creative and collaborative bioinformatics researcher who is excited to build the analytical foundation for our spatiotemporal multi-omics technology platform.
The base pay range for a new hire in this Chicago, IL role is $130,000 - $163,000.
To strengthen in-person connections and cultivate a team-oriented environment, this role is a hybrid position requiring you to be onsite for at least 60% of the working month (approximately 3 days a week). Specific in-office days are determined at the hiring manager's discretion.
We offer a wide range of benefits to support the incredible people behind our work:
Our Application Philosophy: If you’re interested in a role but your previous experience doesn’t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.
Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life.
For more information, see our website at altoslabs.com.
Our Single Altos Value: Everyone Owns Achieving Our Inspiring Mission.
Altos Labs has been named one of the Top 3 Biotech Companies and ranked for the second year on the Forbes 2026 Best Startups in America list. At Altos, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining a diverse and inclusive environment.
The ideal candidate will contribute to innovative aging and rejuvenation research efforts using large-scale omics data, collaborate across disciplines, and help develop tools that drive our scientific goals forward.
You are an intellectually curious scientist excited and inspired by the Altos mission of restoring cell health and resilience to reverse diseases, injury and age-related disabilities. You are keen to explore the biology of aging to develop approaches to understand and potentially reverse its effects.
You possess strong analytical skills, a passion for computational biology, and a collaborative spirit with the ability to work within and contribute to Project Teams and within a matrix structure. The ideal candidate is:
RangeScientist II
3-5 years post PhD
£62,400 - £82,100
Senior Scientist I
6+ years post PhD
£79,200 - £104,200
We value collaboration and scientific excellence. We believe that a culture of belonging is foundational to scientific innovation and inquiry. At Altos Labs, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining an inclusive environment.
Altos Labs provides equal employment opportunities to all employees and applicants for employment, without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Altos prohibits unlawful discrimination and harassment. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Thank you for your interest in Altos Labs where we strive for a culture of scientific excellence, learning, and belonging.
Note: Altos Labs will not ask you to download a messaging app for an interview or outlay your own money to get started as an employee. If this sounds like your interaction with people claiming to be with Altos, it is not legitimate and has nothing to do with Altos. Learn more about a common job scam at https://www.linkedin.com/pulse/how-spot-avoid-online-job-scams-biron-clark/.
Rapidly Growing Life Sciences Technology Company
Ultima Genomics is a rapidly growing company that is developing ground-breaking genomics technologies. Our mission is to continuously drive the scale of genomic information to enable unprecedented advances in biology and improvements in human health. We have developed a foundational new approach to sequencing at scale that overcomes limitations due to the high costs of current technologies. We are well-funded and have raised approximately $600 million from global top-tier investors. Our team brings together unique and diverse expertise across multiple disciplines, from healthcare and life sciences, to engineering, to technology and software and beyond. We are a collaborative group, including successful entrepreneurs, chemists, hardware and software engineers, genomics and biotechnology experts, molecular and computational biologists, software and algorithm experts, and operations and commercial leaders. Join us to develop and commercialize technologies that unleash the power of genomics at scale and empower the future of human health.
We are looking for a highly motivated Staff Bioinformatics Scientist to join our Oncology Applications team!
As a Staff Bioinformatics Scientist, you will develop and apply computational methods for analyzing next-generation sequencing (NGS) data generated on Ultima’s platform. This role will involve building robust pipelines, developing novel algorithms, collaborating cross-functionally with molecular biology, software engineering, and product teams, and driving insights from complex genomic datasets, with a focus on growing Oncology Applications.
This position is ideal for someone who thrives in a dynamic, fast-paced environment and can effectively balance multiple high-impact projects. In addition to core R&D responsibilities, you will contribute to external-facing scientific communications and support collaborations with customers and partners.
This is a full time remote position with preferred locations in San Francisco, Boston, and Washington D.C.
At Ultima Genomics, your base pay is one part of your total compensation package. This role pays between $135,000 and $170,000, if performed in California, and your actual base pay will depend on your skills, qualifications, experience, and location. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.
This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; paid holidays; paid time off; employee assistance program; and other company benefits.
#LI-Remote
Ultima Genomics is proud to be an equal opportunity workplace and is an affirmative action employer. We provide equal employment opportunity for all applicants and employees. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, or any other basis protected by applicable laws.
See also Ultima Genomics’ EEO Policy and Know Your Rights. If you have a disability or special need that requires accommodation, please let us know by contacting recruiting@ultimagen.com.
Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life.
For more information, see our website at altoslabs.com.
Our Single Altos Value: Everyone Owns Achieving Our Inspiring Mission.
Altos Labs has been named one of the Top 3 Biotech Companies and ranked for the second year on the Forbes 2026 Best Startups in America list. At Altos, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining a diverse and inclusive environment.
We are seeking an exceptional and versatile Scientist to join Discovery Science at Altos Labs. This role is ideal for a creative experimental scientist with deep expertise in functional genomics, in vivo biology, and/or next-generation genomics technologies who is excited to uncover new regulators of cell state, tissue resilience, and rejuvenation biology.
The successful candidate will help build and apply next-generation discovery platforms spanning in vitro and in vivo systems, with opportunities to contribute across areas such as genome-scale perturbation screening, in vivo genomics technology development, target discovery, and tissue-level functional genomics. Depending on background and interests, the successful candidate may contribute more heavily toward platform and technology development or toward mechanistic and translational biology.
We are looking for broadly capable scientists with strong technical depth, scientific creativity, and the curiosity to pursue new biological frontiers in a highly collaborative environment.
Key Responsibilities
Preferred Qualifications
The salary range for Redwood City:
Exact compensation may vary based on skills, experience, and location.
#LI-NN1
For UK applicants, before submitting your application:
- Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice)- This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment.
We value collaboration and scientific excellence.
We believe that a culture of belonging are foundational to scientific innovation and inquiry. At Altos Labs, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining an inclusive environment.
Altos Labs provides equal employment opportunities to all employees and applicants for employment, without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Altos prohibits unlawful discrimination and harassment. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Thank you for your interest in Altos Labs where we strive for a culture of scientific excellence, learning, and belonging.
Note: Altos Labs will not ask you to download a messaging app for an interview or outlay your own money to get started as an employee. If this sounds like your interaction with people claiming to be with Altos, it is not legitimate and has nothing to do with Altos. Learn more about a common job scam at https://www.linkedin.com/pulse/how-spot-avoid-online-job-scams-biron-clark/
Deep Genomics is at the forefront of using artificial intelligence to transform drug discovery. Our proprietary AI platform decodes the complexity of RNA biology to identify novel drug targets, mechanisms, and therapeutics inaccessible through traditional methods. With expertise spanning machine learning, bioinformatics, data science, engineering, and drug development, our multidisciplinary team in Toronto and Cambridge, MA is revolutionizing how new medicines are created.
We are looking for a passionate and detail-oriented Research Associate to become an integral part of our Platform Technology team. This is an opportunity to contribute hands-on to an AI-driven drug discovery platform, generating the experimental data that directly informs the biological models powering our therapeutic pipeline. You will bring scientific curiosity and rigor to the bench, supporting the execution of molecular and sequencing-based assays that our computational and therapeutic teams rely on to advance program goals.
This role offers early-career professionals a meaningful foothold in a cross-functional discovery environment, with exposure to cutting-edge technologies spanning NGS workflows, liquid handling automation, and diverse RNA therapeutic modalities including ADAR editing, ASOs, siRNAs, and mRNAs. If you are eager to develop technical breadth while contributing to work that has real therapeutic impact, we encourage you to apply.
Deep Genomics is at the forefront of using artificial intelligence to transform drug discovery. Our proprietary AI platform decodes the complexity of RNA biology to identify novel drug targets, mechanisms, and therapeutics inaccessible through traditional methods. With expertise spanning machine learning, bioinformatics, data science, engineering, and drug development, our multidisciplinary team in Toronto and Cambridge, MA is revolutionizing how new medicines are created.
The Associate Director, in vitro pharmacology will be responsible for leading the target validation function at Deep Genomics with the goal of advancing our RNA editing therapeutics portfolio. This is a leadership role with the opportunity to make a significant impact on Deep Genomics’ therapeutic pipeline. Success in this role requires the ability to lead strategically, execute tactically, and influence others in a highly matrixed and multidisciplinary team.
The ideal candidate will have direct experience in designing, executing and interpreting target validation studies for a variety of liver disease indications. Deep knowledge of a variety of in vitro liver models, relevant functional assays and genome engineering methods is essential. Direct experience with ADAR or other oligonucleotide therapeutics is highly beneficial as is experience with pooled screening approaches and laboratory automation. This role requires leadership from the bench as well as experience supervising junior scientists directly and indirectly. In addition to working closely with the therapeutic program teams, the candidate is expected to work closely with our Target Identification team to translate AI-derived target nominations into a clear action plan leading to go/no-go decisions.
As a key member of an early stage discovery team, this individual must demonstrate initiative and ownership in both scientific and strategic decisions and have an entrepreneurial mindset. Ability to pro-actively anticipate needs and independently seek solutions is a key skill, together with effective communication in all directions. This role may lead to the opportunity to manage and mentor direct reports in the future. Please note that the title is commensurate with prior experience.
Join a team of brilliant, passionate innovators determined to transform healthcare. At BillionToOne, we've built a category-defining, publicly traded company on Nasdaq where transparency fuels trust, collaboration drives breakthroughs, and every contribution moves the needle on our mission to make life-changing diagnostics accessible to all. We don't just aim for incremental improvements; we build products that are 10x better than anything that exists today.
Our scientists, engineers, sales executives, and visionaries are united by an unwavering commitment to changing the standard of care in prenatal and cancer diagnostics. This is where cutting-edge science meets human compassion, and every innovation you contribute helps remove the fear of the unknown from some of life's most critical medical moments.
If you're driven by purpose, energized by innovation, and ready to help shape the future of precision medicine at scale, this is where you belong.
We seek a Process Engineering Associate II whose interests span molecular diagnostics, process optimization, and quantitative problem solving. In this role you will (1) drive process improvement and development to enhance clinical assay performance, (2) support technology transfer from R&D into our high-throughput CLIA lab, and (3) troubleshoot and identify root causes of recurring errors to enable long-term corrective actions. You will also play a key role in standing up our newly built lab in Austin, TX. You will leverage and deepen your expertise across molecular techniques, laboratory automation, and data analysis while contributing directly to category-defining NIPT assays that transform patient lives one molecule at a time. This onsite position starts at our Union City, CA laboratory and will relocate to Austin, TX in summer 2027. The Process Engineering Associate II reports to the Senior Development Scientist.
We are building a brand-new state-of-the-art laboratory in Austin, Texas, expected to launch in late 2027 / early 2028, and we are looking for talented laboratory professionals who want to be part of this journey from the very beginning.
Candidates hired into this role will initially relocate to the Bay Area (Union City, CA) to train and work alongside our experienced laboratory teams. During this time (up to ~18 months), you will gain deep hands-on experience with BillionToOne’s cutting-edge molecular diagnostic workflows, quality systems, and laboratory operations before transitioning to our new Austin facility once it opens.
This is a unique opportunity to gain hands-on training with our experienced lab teams and become one of the founding members of our Austin laboratory.
At BillionToOne, we are proud to offer a combination of a (1) base pay range (actual amount offered is based on experience and salary/equity options split that the candidate chooses), (2) generous equity options offering, (3) corporate bonus program, on top of (4) industry leading company benefits (free healthcare options, 401k match, very generous fully paid parental leave, etc.).
For this position, we offer a total compensation package of $104,322 per year, including a base pay range of $75,029 - $85,748 per year.
BillionToOne is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
For more information about how we protect your information, we encourage you to review our Privacy Policy.
BillionToOne is a next-generation molecular diagnostics company on a mission to make powerful, accurate diagnostic tests accessible to everyone. Our revolutionary QCT molecular counting technology enhances disease detection resolution by over a thousandfold using cell-free DNA, a breakthrough that has already transformed the lives of over half a million patients worldwide.
Unity Complete™ is the only non-invasive prenatal screen capable of assessing fetal risk for both common recessive conditions and aneuploidies from a single maternal blood sample. Our Northstar® liquid biopsy test uniquely combines treatment selection with real-time monitoring, giving oncologists unprecedented precision in cancer care.
From $0 to $150M+ in Annual Recurring Revenue in just five years. In 2025, we completed one of the most successful IPOs for a medical diagnostics company, building on nearly $400M in private funding, including our $130M Series D in 2024 and backed by world-class investors including Hummingbird, Adams Street Partners, Neuberger Berman, Baillie Gifford, and Premji Invest.
Forbes named us one of America's Best Startup Employers for 2025 and we're Great Place to Work certified, with 100% of our people willing to go the extra mile, even as we've scaled to over 700 employees.
Headquartered in Menlo Park with facilities in Union City, CA, and a new lab opening in Austin, TX in 2027, we're continuing to push the boundaries of what's possible in molecular diagnostics. We're just getting started.
Ready to help us change the world, one molecule at a time? Learn more at billiontoone.com
Ready to redefine what's possible in molecular diagnostics?
Join a team of brilliant, passionate innovators determined to transform healthcare. At BillionToOne, we've built a category-defining, publicly traded company on Nasdaq where transparency fuels trust, collaboration drives breakthroughs, and every contribution moves the needle on our mission to make life-changing diagnostics accessible to all. We don't just aim for incremental improvements; we build products that are 10x better than anything that exists today.
Our scientists, engineers, sales executives, and visionaries are united by an unwavering commitment to changing the standard of care in prenatal and cancer diagnostics. This is where cutting-edge science meets human compassion, and every innovation you contribute helps remove the fear of the unknown from some of life's most critical medical moments.
If you're driven by purpose, energized by innovation, and ready to help shape the future of precision medicine at scale, this is where you belong.
We seek a Process Engineering Associate II whose interests span molecular diagnostics, process optimization, and quantitative problem solving. In this role you will (1) drive process improvement and development to enhance clinical assay performance, (2) support technology transfer from R&D into our high-throughput CLIA lab, and (3) troubleshoot and identify root causes of recurring errors to enable long-term corrective actions. You will also play a key role in standing up our newly built lab in Austin, TX. You will leverage and deepen your expertise across molecular techniques, laboratory automation, and data analysis while contributing directly to category-defining NIPT assays that transform patient lives one molecule at a time. This onsite position starts at our Union City, CA laboratory and will relocate to Austin, TX in summer 2027. The Process Engineering Associate II reports to the Senior Development Scientist.
Responsibilities:
Qualifications:
Nice-to-haves:
Benefits And Perks:
At BillionToOne, we are proud to offer a combination of a (1) base pay range (actual amount offered is based on experience and salary/equity options split that the candidate chooses), (2) generous equity options offering, (3) corporate bonus program, on top of (4) industry leading company benefits (free healthcare options, 401k match, very generous fully paid parental leave, etc.).
For this position, we offer a total compensation package of $104,322 per year, including a base pay range of $75,029 - $85,748 per year.
BillionToOne is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
For more information about how we protect your information, we encourage you to review our Privacy Policy.
BillionToOne is a next-generation molecular diagnostics company on a mission to make powerful, accurate diagnostic tests accessible to everyone. Our revolutionary QCT molecular counting technology enhances disease detection resolution by over a thousandfold using cell-free DNA,a breakthrough that has already transformed the lives of over half a million patients worldwide.
Our Impact
Unity Complete™ is the only non-invasive prenatal screen capable of assessing fetal risk for both common recessive conditions and aneuploidies from a single maternal blood sample. Our Northstar® liquid biopsy test uniquely combines treatment selection with real-time monitoring, giving oncologists unprecedented precision in cancer care.
Our Growth
From $0 to $150M+ in Annual Recurring Revenue in just five years. In 2025, we completed one of the most successful IPOs for a medical diagnostics company, building on nearly $400M in private funding,including our $130M Series D in 2024 and backed by world-class investors including Hummingbird, Adams Street Partners, Neuberger Berman, Baillie Gifford, and Premji Invest.
Our Recognition
Forbes named us one of America's Best Startup Employers for 2025 and we're Great Place to Work certified, with 100% of our people willing to go the extra mile, even as we've scaled to over 700 employees.
Our Future
Headquartered in Menlo Park with facilities in Union City, CA, and a new lab opening in Austin, TX in 2027, we're continuing to push the boundaries of what's possible in molecular diagnostics. We're just getting started.
Ready to help us change the world, one molecule at a time? Learn more at billiontoone.com
Profluent is an AI-first protein design company. Founded in 2022, we develop deep generative models to design and validate novel, functional proteins to revolutionize biomedicine. Based in Emeryville, CA, we are backed by leading investors including Altimeter Capital, Bezos Expeditions, Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures, and have raised over $150M to date.
We’re looking for a Senior Software Engineer to help design, build, and scale Profluent’s data platform. This platform houses data from protein engineering campaigns, including protein designs, experimental results, partner datasets, analytical outputs, and model-ready training data. It enables rapid machine learning, biological discovery, and secure collaboration across internal and external programs.
This role is ideal for an engineer who enjoys building robust data systems: secure ingestion pipelines, well-structured warehouses, reliable data models, access controls, auditability, and infrastructure that makes complex scientific data usable at scale. You will work closely with ML, bioinformatics, and program teams to ensure Profluent’s data is organized, governed, accessible, and protected.
Work Authorization RequirementApplicants must have ongoing work authorization in the United States that does not require employer sponsorship. Sponsorship will not be provided now or at any time in the future for this position.
Employment Eligibility VerificationLegal authorization to work in the United States is required. In compliance with federal law, all persons hired must verify their identity and work eligibility and complete the required employment verification form upon hire.
At Element Biosciences, we are passionate about our mission to empower the scientific community with more freedom and flexibility to accelerate our collective impact on humanity. We have built a highly efficient product-driven organization where employees can learn, grow, and thrive in a challenging but encouraging environment. We are committed to scientific integrity, collegiality, honesty, objectivity, and openness.
We are seeking a highly skilled and motivated Senior Engineer II, Machine Learning to join our dynamic team. The ideal candidate will have experience in data science and machine learning, with a background in working with multiomic and single-cell data and/or image processing and computer vision. This role involves creating, exploring, and analyzing models, as well as applying advanced image processing techniques to drive our research and development efforts and contribute to critical programs. This role will report to Vice President, AI and will be an onsite role at our headquarters in San Diego.
If you possess the following and want to make a meaningful impact, we invite you to explore this role.
Essential Functions and Responsibilities:
Education and Experience:
Physical Requirements:
Location:
Travel:
Job Type:
Base Compensation Pay Range:
In addition to base compensation noted above, you will be eligible for stock options, discretionary annual bonus, no cost health insurance plans, 401k with company match, and flexible paid time off.
Please note: Base compensation will depend on multiple factors, including geographic location, qualifications, and experience.
We foster an environment such that all people are afforded the freedom to pursue their passions without regard to race, color, religion, national or ethnic origin, gender (including pregnancy), sexual orientation, gender identity or expression, age, disability, veteran status or any other characteristics protected by law.
ABOUT PROFLUENT
Profluent is an AI-first protein design company. Founded in 2022, we develop deep generative models to design and validate novel, functional proteins to revolutionize biomedicine. Based in Emeryville, CA, we are backed by leading investors including Altimeter Capital, Bezos Expeditions, Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures, and have raised over $150M to date.
POSITION SUMMARY:
Our generative models learn the blueprint of life by modeling large-scale evolutionary data, enabling us to engineer and write biology in unprecedented ways. We are seeking a passionate Computational Research Intern to join moonshot projects at the intersection of bioinformatics and machine learning. This is a rare opportunity to tackle open-ended scientific and engineering challenges with direct potential for high-impact publications and real-world applications in synthetic biology and protein engineering.
RESPONSIBILITIES:
QUALIFICATIONS:
INTERNSHIP DETAILS:
WHAT WE OFFER:
Profluent is an AI-first protein design company founded in 2022. Based in Emeryville, CA, the company develops deep generative models to design and validate novel, functional proteins to revolutionize biomedicine. They are backed by leading investors, including Altimeter Capital, Bezos Expeditions, Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures, and have raised over $150M to date.
We are seeking an experienced computational scientist to lead the design, development, and operation of the NGS analysis platform that powers Profluent’s gene editing and protein design programs. This role sits at the intersection of computational biology, software engineering, and experimental biology to build scalable systems for extracting actionable insights from large-scale sequencing data. You will architect core bioinformatics infrastructure, define analytical strategy, and collaborate closely with experimental and ML teams to accelerate design-build-test-learn cycles. You will also mentor team members, promote software engineering best practices, and help shape the future of Profluent’s computational biology capabilities.
Profluent Bio, Inc. is an equal opportunity employer. Legal authorization to work in the United States is required. Applicants must have ongoing work authorization in the United States that does not require employer sponsorship. Sponsorship will not be provided now or at any time in the future for this position.
Retro Biosciences
About RetroRetro develops therapies for diseases driven by the biology of aging. We focus on cellular reprogramming and autophagy to broadly improve tissue function by targeting mechanisms of aging with the ultimate aim of adding 10 years to healthy human lifespan.
We’re building a mission-driven team of accomplished and kind individuals who embrace our startup culture of rapid iteration, transparency, and versatility.
We are hiring a new member of the HSC Therapeutics team who will bring deep expertise in hematopoiesis. In this role, you will focus on process optimization and development to help us create scalable differentiation protocols.
About you:You’re eager to learn and approach work with a “can-do” attitude and a hands-on nature. You take pride in working at the highest standard, continuously optimizing research practices for both high speed and accuracy. You value being organized and detail-oriented. Bringing a clear, transparent communication style, you collaborate effectively with specialists of various backgrounds (bench and computational biologist, quality control scientists, operational and logistic specialists). You are adaptable and able to iterate quickly and reprioritize based on a mission > team > self hierarchy. You’re motivated to work on the forefront of science and help us extend healthy lifespan!
In this role you will:
You might thrive in this role if you:
It’s a bonus if you:
Who We Are
Galatea Bio is an innovative, venture backed biotechnology company with a mission to advance precision health for all. Founded by pioneers in the human genetics and bioinformatics industry, we identified a major gap in the way underrepresented communities are included in and derive benefit from advances in precision health, such as the development of new tests and cures. The last 20 years have seen an explosion of genetic information and data. New technological advances have made it faster and less expensive to understand the human genomes but most of those resources have focused on northern European communities. The mission of Galatea Bio is to channel the diversity of the world into advancing genomic medicine for the benefit of all. Leveraging clinical-grade biobanking, research and clinical genomics, and best-in-class ancestry and genome annotation algorithms, we will better understand the genetic architecture of underserved populations and power the next generation of precision medicine studies while maintaining an uncompromising commitment to ethical research. Read more at www.galatea.bio.
About this opportunity
As our Project Manager you will lead the launch of a new research project, from scratch, ensuring the achievement of milestones and deliverables in a timely manner. Parallel to launch you will also develop our internal knowledge base and establish the infrastructure for future research projects at Galatea Bio; from IRB approvals, to tooling, to documentation and tracking. You will be the liaison between study participants, research staff, and all stakeholders involved with ensuring a successful study. In this role you will report to the VP of Clinical Testing & Quality Control.
Responsibilities
What you bring:
Benefits
Deep Genomics is at the forefront of using artificial intelligence to transform drug discovery. Our proprietary AI platform decodes the complexity of RNA biology to identify novel drug targets, mechanisms, and therapeutics inaccessible through traditional methods. With expertise spanning machine learning, bioinformatics, data science, engineering, and drug development, our multidisciplinary team in Toronto and Cambridge, MA is revolutionizing how new medicines are created.
Join us in building the future of AI-driven drug discovery. In this role, you will own and evolve the infrastructure that powers our ML pipelines—from cloud environments and CI/CD systems to workflow orchestration and model deployment. You will work closely with ML scientists, bioinformaticians, and software engineers to keep our platform reliable, reproducible, and scalable.
About Ultima GenomicsUltima Genomics is a rapidly growing company developing ground-breaking genomics technologies. Their mission is to continuously drive the scale of genomic information to enable unprecedented advances in biology and improvements in human health. They have developed a foundational new approach to sequencing at scale that overcomes the limitations of current high-cost technologies. The company is well-funded, having raised approximately $600 million from global top-tier investors. Their diverse team includes entrepreneurs, chemists, hardware and software engineers, genomics and biotechnology experts, and operations leaders.
The R&D team in Israel is looking for a highly motivated Bioinformatics Researcher II to join their team. You will design and execute analyses on Ultima sequencing data, develop computational methods, and build scalable pipelines that turn raw data into clear biological insights, working at the intersection of biology, computing, and AI.
Ultima Genomics is an equal opportunity workplace and an affirmative action employer.
GenBio AI develops multiscale foundation models to decode and simulate human biology. Our team is accelerating towards an ambitious future where scientists can unlock humanity's biggest challenges in drug discovery, healthcare, and fundamental research with AIDO (AI-Driven Digital Organism): a unified framework for predicting, simulating, and programming biology across all scales. The foundation of this vision begins today as we engineer the virtual cell to model and simulate the fundamental unit of life.
This vision has brought together a talent-dense group of product-minded researchers and engineers dedicated to bringing it to reality. Our team prides itself on our strong engineering culture and highly interdisciplinary and collaborative approach. We are based in Palo Alto, with satellite offices in Paris and Abu Dhabi.
As our data ingestion needs grow, we are looking for a Bioinformatics Data Engineer to act as the crucial bridge between raw biological data and our scalable infrastructure. Reporting to the Data Engineering Lead, you will leverage your deep biological domain expertise to build the initial scripts and processing logic for complex datasets, ensuring they are primed for large-scale foundation model training.
Responsibilities
Qualifications
Rapidly Growing Life Sciences Technology Company
Ultima Genomics is a rapidly growing company that is developing ground-breaking genomics technologies. Our mission is to continuously drive the scale of genomic information to enable unprecedented advances in biology and improvements in human health. We have developed a foundational new approach to sequencing at scale that overcomes limitations due to the high costs of current technologies. We are well-funded and have raised approximately $600 million from global top-tier investors. Our team brings together unique and diverse expertise across multiple disciplines, from healthcare and life sciences, to engineering, to technology and software and beyond. We are a collaborative group, including successful entrepreneurs, chemists, hardware and software engineers, genomics and biotechnology experts, molecular and computational biologists, software and algorithm experts, and operations and commercial leaders. Join us to develop and commercialize technologies that unleash the power of genomics at scale and empower the future of human health.
We are looking for a highly motivated Senior Software and Algorithm Engineer to join our team!
As a Senior Software and Algorithm Engineer you will help us with implementing innovative bioinformatics algorithms and extracting more insights from the data our product generates.
How You’ll Contribute
Qualifications, Skills, Knowledge & Abilities
Ultima Genomics is proud to be an equal opportunity workplace and is an affirmative action employer. We provide equal employment opportunity for all applicants and employees. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, or any other basis protected by applicable laws. If you have a disability or special need that requires accommodation, please let us know by contacting recruiting@ultimagen.com.
Our mission is to make biology easier to engineer. Ginkgo is constructing, editing, and redesigning the living world in order to answer the globe’s growing challenges in health, energy, food, materials, and more. Our bioengineers make use of an in-house automated foundry for designing and building new organisms.
This role strongly prefers candidates located in the Boston area with the ability to regularly commute to our Seaport headquarters.
Due to the nature of this role, candidates should expect to support U.S. Government customers. Candidates must have the ability to obtain and maintain a U.S. security clearance per business requirements. In connection therewith, candidates must be willing to undergo a background investigation and meet eligibility requirements. Clearance sponsorship will be available.
Candidates who currently hold an active or recently inactive U.S. Government security clearance are encouraged to apply.
Ginkgo Biosecurity is building next-generation biosecurity infrastructure to help governments and partners detect, attribute, and deter biological threats. Our mission extends across public health, national security, and global defense, ensuring nations can rapidly identify dangerous pathogens, understand where threats originate, and respond with confidence.
We are seeking a Senior Full-Stack Software Engineer to join the Biosecurity engineering team. This role is ideal for someone who thrives in cross-disciplinary environments and is excited to build production software that directly supports biosecurity, epidemiology, and biological data workflows. We are looking for an engineer who is not only a technical expert but also a forward-thinker who embraces AI-augmented development and maintains a 'deploy-with-confidence' culture through rigorous CI/CD and automated testing.
You will work across the stack—from backend services and data pipelines to user-facing web applications—building reliable, scalable systems that turn complex biological data into actionable insights.
The base salary range for this role is $134,300.00 - $189,900.00. Actual pay within this range will depend on a candidate's skills, expertise, and experience. We also offer company stock awards, a comprehensive benefits package including medical, dental & vision coverage, health spending accounts, voluntary benefits, leave of absence policies, 401(k) program with employer contribution, 8 paid holidays in addition to a full-week winter shutdown and unlimited Paid Time Off policy.
It is the policy of Ginkgo Bioworks to provide equal employment opportunities to all employees, employment applicants, and EOE disability/vet.
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Biohub is a 501(c)(3) biomedical research organization building the first large-scale scientific initiative combining frontier AI with frontier biology to solve disease. We build the technology to help scientists around the world use AI-powered biology to study how cells operate, organize, and work as part of systems to understand why disease happens and how to correct it. With our compute capacity, AI research and engineering, and state-of-the-art technology for measuring, imaging, and programming biology, we are enabling scientists worldwide to use AI-powered biology to advance our understanding of human health.
Our AI research team sits at the heart of our mission to unlock new dimensions of biological understanding. You will leverage state-of-the-art AI to accelerate discovery and drive transformative insights in biology — developing novel AI models purpose-built for biological research, engineering robust systems that enable breakthrough science at unprecedented scale, and translating these advances into practical tools that empower researchers worldwide.
Our approach is comprehensive and integrated, bringing together world-class AI model development, exceptional engineering talent, high-quality biological data, powerful computing infrastructure, and strategic partnerships. Success requires excellence across five interconnected pillars: training frontier AI models specifically for biology; building engineering systems that maximize research velocity and efficiency; executing a sophisticated data strategy that fuels AI development; operating a world-class AI compute platform; and creating impactful products that transform AI capabilities into accessible scientific tools.
This is an opportunity to shape the future of biological research by pushing the boundaries of what AI can achieve in science. You’ll work alongside leading experts in AI and biology, with the resources and mandate to tackle some of the most important questions in human health — advancing frontier AI research, accelerating engineering velocity, connecting rich biological data to AI systems, enabling reliable compute across environments, and translating models and data into usable, scalable applications that drive scientific impact.
The role is part of the Data team, which focuses on owning the strategy, sourcing and implementation for data supporting AI research and development. We're a small team with significant resources and long time horizons. Our goal is to maximize the speed, agility, and capability of biological AI research by connecting public data resources and Biohub's experimental platforms to AI systems.
The data that trains biological frontier models comes in dozens of modalities (sequences, images, spatial coordinates, time series, molecular structures, metadata, publication artifacts) each with its own noise characteristics, biases, and information content. The question of how to represent this data for learning is one of the most important open problems in biological AI.
We’re looking for a data scientist with deep expertise in genomics (e.g., bulk and single-cell sequencing, functional genomics, CRISPR screens), who thinks creatively about data representation and tokenization, and can translate that thinking into novel training architectures. You’ll work across experimental, computational, and AI teams to build scalable, interpretable genomic data systems that power next-generation biological models and accelerate human health discovery.
The Redwood City, CA base pay range for a new hire in this role is $214,000 - $294,800. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process.
As we grow, we’re excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment. This role is a hybrid position requiring you to be onsite for at least 60% of the working month, approximately 3 days a week, with specific in-office days determined by the team’s manager.
We’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible.
Biohub is a 501(c)(3) biomedical research organization building the first large-scale scientific initiative combining frontier AI with frontier biology to solve disease. We build the technology to help scientists around the world use AI-powered biology to study how cells operate, organize, and work as part of systems to understand why disease happens and how to correct it. With our compute capacity, AI research and engineering, and state-of-the-art technology for measuring, imaging, and programming biology, we are enabling scientists worldwide to use AI-powered biology to advance our understanding of human health.
Our AI research team sits at the heart of our mission to unlock new dimensions of biological understanding. You will leverage state-of-the-art AI to accelerate discovery and drive transformative insights in biology—developing novel AI models purpose-built for biological research, engineering robust systems that enable breakthrough science at unprecedented scale, and translating these advances into practical tools that empower researchers worldwide.
Our approach is comprehensive and integrated, bringing together world-class AI model development, exceptional engineering talent, high-quality biological data, powerful computing infrastructure, and strategic partnerships. Success requires excellence across five interconnected pillars: training frontier AI models specifically for biology; building engineering systems that maximize research velocity and efficiency; executing a sophisticated data strategy that fuels AI development; operating a world-class AI compute platform; and creating impactful products that transform AI capabilities into accessible scientific tools.
This role is part of the Data team, which focuses on owning the strategy, sourcing and implementation for data supporting AI research and development. Our goal is to maximize the speed, agility, and capability of biological AI research by connecting public data resources and Biohub's experimental platforms to AI systems.
The data that trains biological frontier models comes in dozens of modalities—sequences, images, spatial coordinates, time series, molecular structures, metadata, preprints and published papers—each with its own noise characteristics, biases, and information content. The question of how to represent this data for learning is one of the most important open problems in biological AI.
You will operate with broad scope and high autonomy, influencing roadmap decisions across teams while mentoring senior individual contributors. Success in this role means scaling data systems that are not only large, but adaptive, interpretable, and scientifically grounded, accelerating progress toward robust biological frontier models and ultimately advancing human health.
We're looking for data scientists who can work at this frontier: people who understand biological measurement deeply, think creatively about data representations and tokenization strategies, and can translate that thinking into novel training architectures. You'll work directly with experimental and computational scientists, data scientists and AI researchers to define what the models see and how they see it, and data engineers to make this work at scale. This is a role for someone who wants to invent the methods that make biological frontier models possible.
The Redwood City, CA base pay range for a new hire in this role is $214,000 - $294,800. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process.
As we grow, we’re excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment. This role is a hybrid position requiring you to be onsite for at least 60% of the working month, approximately 3 days a week, with specific in-office days determined by the team’s manager. The exact schedule will be at the hiring manager's discretion and communicated during the interview process.
We’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible.
If you’re interested in a role but your previous experience doesn’t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.
10x Genomics is establishing a diagnostics effort, translating our leading single-cell and spatial assay technologies into impactful clinical applications. We are seeking a Scientist II to join the clinical bioinformatics team. The ideal candidate excels at distilling complex biological questions into actionable computational strategies, implementing computational/statistical methods and applying them to large-scale single-cell or spatial transcriptomics datasets to derive clinically meaningful insights.
The role requires a biology-first mindset, proficiency with large-scale bioinformatics analyses, strong scientific acumen and statistical rigor. The successful candidate will have an opportunity to work with some of the largest biomedical datasets assayed using cutting-edge 10x Genomics technologies, deriving clinical insights that power the next generation of clinical diagnostics.
$123,400 — $167,000 USD
Actual base pay depends on skills, qualifications, and experience. This role is also eligible for equity grants, health/retirement benefits, and annual bonus or sales incentive programs.
At 10x Genomics, accelerating our understanding of biology is more than a mission for us—it is a commitment. Our tools have enabled fundamental discoveries across biology including cancer, immunology, and neuroscience. We are dedicated to finding the very best person for every aspect of our work because the innovations and discoveries that we enable together will lead to better technologies, better treatments, and a better future.
Individuals seeking employment at 10x Genomics are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation, or any other characteristic protected by applicable law.
About Us
Founded in 2011, Fulgent has evolved into a premier, full-service genomic testing company built around a foundational technology platform.
Through our diverse testing menu, Fulgent is focused on transforming patient care in oncology, anatomic pathology, infectious and rare diseases, and reproductive health. We believe that by providing a wide range of effective, flexible testing options in conjunction with best-in-class service and support, we can redefine the way medicine is managed for patients and clinicians alike.
Since integrating with our therapeutic development business, Fulgent is also developing drug candidates for treating a broad range of cancers using a novel nanoencapsulation and targeted therapy platform. By merging our fields of expertise, we aim to become a fully integrated precision medicine company.
Summary of Position
As a Senior Bioinformatics Scientist, you will collaborate in cross-functional teams to design, implement and continually improve advanced computational pipelines for high-throughput analysis of multiple types of NGS data. You will work independently in refining methodologies for data analysis, processing, visualization and storage. You will also be assigned leadership roles in projects with mentor responsibility to junior members of the team. You will strive to maximize efficiency, quality, reliability and customer usability and satisfaction.
Key Job Elements
Research and Development
Production and Customer Support
Data Maintenance
Validation
Knowledge/Experience
Supervisor Responsibilities
Reports To
Environment
Fulgent Therapeutics LLC is an Equal Employment Opportunity Employer.
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions. The term “qualified individual with a disability” means an individual with a disability who, with or without reasonable accommodation, can perform the essential functions of the position.
For California residents, please see the link below to access our CCPA Privacy Notice.
CCPA Privacy Notice for California Residents
https://tinyurl.com/FulgentCCPA
Please note that Fulgent (and its affiliated companies, including Inform Diagnostics and CSI Laboratories) does not accept unsolicited information and/or resumes from search firms or agencies for our job postings. Search firms or agencies without an applicable contract and/or express approval to recruit for the role in question — that choose to submit a resume or client information to our career page or to any employee of Fulgent — will not be eligible for payment of any fee(s), and any associated shared data will become the property of Fulgent.
Company Overview: GATC Health is an innovative TechBio company at the forefront of revolutionizing pharmaceutical discovery and accelerating their development through the integration of artificial intelligence (AI), science and finance. Our company is dedicated to advancing therapeutic discoveries and improving human health by leveraging the power of technology and interdisciplinary collaboration.
Position Overview: We are seeking a talented Bioinformatics Analyst to join our dynamic, multi-disciplinary team that is responsible for implementing and aiding in design and analysis software and informatics pipelines for primary, secondary, and tertiary analysis of data generated from transcriptional, proteomic, and mult-omic assays. As a Bioinformatics Scientist, you will innovate, develop and implement novel analysis methods for different data types from sparse to large and complex datasets to support the internal development and validation of new pharmaceutical assets and the development of end-user, customer-facing data analysis and visualization for biotech customers and stakeholders. A highly motivated scientist with broad expertise and experience in bioinformatics, computational biology, transcriptomics, proteomics and multi-omics would be an ideal fit for this position.
$70,000 - $85,000 a year
Why Join Us:
• Opportunity to work at the intersection of technology and science, driving innovation in pharmaceutical discovery.
• Collaborative and inclusive work culture that values diversity, creativity, and continuous learning.
• Competitive compensation package, including salary, benefits, and opportunities for professional development.
• Chance to make a meaningful impact on human health and contribute to groundbreaking research and development projects.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.