At Element Biosciences, the mission is to empower the scientific community with more freedom and flexibility to accelerate the collective impact on humanity. They have built a product-driven organization committed to scientific integrity, collegiality, and openness.
We are seeking a Bioinformatics Scientist to join our Bioinformatics and Scientific Affairs team. This is a 1-year post-doc program with the possibility of conversion to full-time employment.
The role focuses on generating high-quality analyses to support scientific publications, conference presentations, and customer-facing enablement. You will collaborate with internal scientific teams and external partners to advance our multiomics platform and drive impactful research. This position reports to the VP, Bioinformatics and Scientific Affairs.
At Element Biosciences, the mission is to empower the scientific community with freedom and flexibility to accelerate the collective impact on humanity. They have built a highly efficient, product-driven organization focused on scientific integrity, collegiality, and openness.
We are seeking a Scientist, Histology to join our R&D team. This role supports the development of a next-generation multi-omics product for tissue samples, including formalin-fixed paraffin-embedded (FFPE) and fresh frozen (FF) specimens. You will lead tissue preparation workflows and contribute to the optimization of protocols that enable robust downstream molecular and imaging assays.
This position reports to the VP, Biochemistry and is based at our San Diego headquarters.
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.
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:
This role will lead Data Engineering, building the infrastructure that makes biological foundation models possible. You will oversee the ingestion of data from public repositories and internal generation projects, transforming heterogeneous biological formats into AI-ready datasets.
This is a player-coach role. You will spend meaningful time on technical leadership—architecture decisions, code review, and unblocking hard problems—while also building and managing a high-performing team. We value small, high-functioning teams, use AI tools aggressively, and care deeply about code quality and operational reliability.
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 Senior Field Application Bioinformatics Scientist who will play a pivotal role supporting our growing global customer base. This is an incredible opportunity for someone who is passionate about seeing customer success and winning for the company. We are looking for candidates with a solid background in NGS and cell biology bioinformatics. The hired candidate will need to be physically located in San Diego and be willing to remotely support customers around the globe. This role will report to the Director of Global Field Applications and will be a role at our San Diego headquarters.
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.
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
About Karius
Karius is a life science, venture-backed clinical metagenomics company, focused on elevating patient care through microbial insights. We are committed to advancing diagnostic science and technology to optimize the diagnosis and treatment of infectious diseases. Through the use of genomics and AI, we are driven to improve the diagnostic landscape for infectious diseases. Karius delivers unprecedented diagnostic insight detecting microbial cell-free DNA circulating in the body to assist physicians to make rapid treatment decisions.
Why Should You Join Us?
Karius' core mission is to conquer infectious diseases through innovations around genomic sequencing and machine learning. The company’s platform is already delivering unprecedented insight into the microbial landscape, providing clinicians with a comprehensive test capable of identifying more than a thousand pathogens directly from blood. Through this journey, we realized that the microbial cell-free DNA platform may hold value that goes well beyond the direct diagnosis of infections. You, as part of the Karius team, will be able to see the immense opportunity to expand the human knowledge around this emerging topic and apply it directly to critical problems in human health and disease.
Position Summary
You are highly curious, creative, and driven by a desire for continuous growth with the ultimate goal of making a meaningful impact on patients’ lives. As a key and integral member of the Computational Biomarker Discovery team, you will focus on deeply exploring and analyzing the complex biological interplay between diverse conditions and molecular data. In this role, you will help unlock and help unlock preliminary biological signatures to inform translational science and precision medicine beyond the conventional infectious disease arena, and into areas such as autoimmune and cancer. You will design analysis plans, execute computational workflows, partner for method and machine learning model development, and integrate biological rationale with data-driven insights to uncover meaningful connections. You bring a passion for applying technology in novel ways, generating innovative hypotheses, and revealing hidden patterns in data. Your curiosity and analytical rigor will drive discoveries that push the boundaries of biomarker research and patient care.
Reports to: Director, Computational Biomarker Discovery
Location: Redwood City, CA (Hybrid) or Remote (USA)
Primary Responsibilities
• Lead data analysis and interpretation of complex biological datasets, including next-generation sequencing (NGS), metagenomics, transcriptomics, fragmentomics, and single-cell analysis.
• Create or adapt computational tools and algorithms to support biomarker discovery and workflows.
• Drive bioinformatics aspects of cross-functional research projects in collaboration with scientific and medical leaders, under the guidance of the Director of Computational Biomarker Discovery.
• Conduct deep exploration of the biological interplay between molecular data and disease conditions, generating insights to advance translational science.
• Deliver preliminary biological signatures that inform precision medicine applications beyond infectious disease, including autoimmune disorders and oncology.
• Partner in experimental design by defining analysis plans, selecting appropriate methodologies, and executing computational analyses with a strong grounding in biological rationale.
• Collaborate closely with scientific, medical, engineering, and commercial teams to set company goals and support the development of new partnerships and products.
• Ensure high standards of data integrity, quality control, and validation, while maintaining rigorous quality documentation and dissemination of scientific findings.
• Provide clear visibility into areas of ownership and communicate weekly progress and results to stakeholders.
• Continue to grow and learn in the necessary biological/scientific domains and technological aspects of the field through novel knowledge acquisition but also staying current with the latest relevant literature.
• Share enthusiasm for exploring novel applications of Karius’ technology platform to drive innovation and impact.
What’s Fun About the Job?
Karius is operating at the edge of what is now known to be possible in infectious disease diagnostics. With that, comes a wave of new and incredible challenges and opportunities. To deliver on that value, you will be tapping into some of the most advanced technologies, architecting and innovating where the current solutions simply don't suffice. You will get to see how much your work really matters.
Travel: Travel to HQ on a quarterly basis if remote.
Physical Requirements
Subject to extended periods of sitting and/or standing, vision to monitor, and moderate noise levels. Work is performed in an office environment.
Position Requirements
• Ph.D. in computer science, statistics, mathematics, physics, genetics, bioinformatics, metagenomics, or related fields (preferably with a focus on computational biology or machine learning) with 3+ years of postdoctoral and/or industry experience; OR Master’s degree with 5+ years of directly relevant industry experience.
• Publications demonstrating the use of innovative mathematical or computational models to investigate and interpret biological and biomarker data.
• Strong background in modern statistics and machine learning, including applications to biomarker discovery.
• Proven proficiency with high-dimensional, large-scale datasets characterized by low signal-to-noise.
• Demonstrated excellence in communication and collaboration within cross-functional, multidisciplinary teams.
• Self-starter with the ability to independently drive results and influence project direction.
• Evidence of innovation in connecting biological insights to complex mechanisms of microbiome and host–environment interactions.
• Deep understanding and hands-on experience with bioinformatics tools, methods, and workflows, especially those related to next-generation sequencing (NGS) data analysis.
• Familiarity with exploratory study and clinical trial designs and analyses, particularly in pharmaceutical or biotechnology applications.
Personal Qualifications
• Passionate, purpose-driven, and excited about Karius’ mission: to conquer infectious diseases through innovations around genomic sequencing and machine learning.
• Excellence at communication and collaboration within a cross-functional team.
• Detail oriented with exceptional organizational and time management skills.
• Self-starting mentality and ability to drive results.
• Comfortable working in an environment which combines both research aspects as well as development.
• Ability to work effectively and efficiently in a fast-paced (startup) environment.
Disclaimer
The above job description is intended to describe the general nature and level of work being performed by individuals assigned to this position. It is not intended to be an exhaustive list of all duties, responsibilities, and skills required. Responsibilities and duties may change or be adjusted to meet the needs of the company, and additional duties may be assigned as necessary. The job description is subject to change at any time at the discretion of Karius.
Equal Opportunity Employer
At Karius, we value a diverse and inclusive workplace and provide equal employment opportunities for all applicants and employees and are committed to honor and invest in the full diversity of people, in our hiring, recruiting and development of employees across the Company. All qualified applicants for employment are encouraged to apply and will be considered without regard to an individual’s race, color, sex, gender identity and gender expression (including transgender individuals who are transitioning, have transitioned, or are perceived to be transitioning to the gender with which they identify), religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws. If you are unable to submit your application due to a disability, please contact us at recruiting@kariusdx.com and we will accommodate qualified individuals with disabilities.
,
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.
Here is the cleaned-up version of the Protillion Biosciences job description, formatted for clarity and readability:
About Us:
Join our dynamic and innovative team at Protillion Biosciences, where we are pioneering a revolutionary high-throughput system for therapeutic development. We are dedicated to transforming the landscape of drug discovery with cutting-edge technology and a collaborative work environment.
About the Role:
We are seeking a highly motivated and experienced computational scientist to join our dynamic team in Carlsbad, CA. The successful candidate will lead innovative projects leveraging Bayesian optimization and active machine learning at the intersection of protein design, high-throughput experimentation, and experimental data analysis, contributing to groundbreaking advancements in biotechnology. This role requires a unique combination of technical expertise, strategic thinking, and collaboration with multidisciplinary teams.
Job Responsibilities:
Requirements:
Preferred Qualifications:
What We Offer:
Protillion is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Compensation Range: $150,000/yr - $200,000/yr
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.
Privacy NoticeI understand that I am applying for employment with Ginkgo Bioworks and am being asked to provide information in connection with my application. I further understand that Ginkgo gathers this information through a third-party service provider and that Ginkgo may also use other service providers to assist in the application process. Ginkgo may share my information with such third-party service providers in connection with my application and for the start of employment. Ginkgo will treat my information in accordance with Ginkgo's Privacy Policy. By submitting this job application, I am acknowledging that I have reviewed and agree to Ginkgo's Privacy Policy as well as the privacy policies of the third-party service providers used by Ginkgo's associated with the application process.
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.
The Biohub in New York is an independent nonprofit research institute that brings together three powerhouse universities - Columbia University, The Rockefeller University, and Yale University - into a single collaborative technology and discovery engine. Biohub itself supports some of the brightest, boldest engineers, data scientists, and biomedical researchers to investigate the fundamental mechanisms underlying disease and develop new technologies that will lead to actionable diagnostics and effective therapies. We are guided by our values of scholarly excellence; disruptive innovation; hands-on engineering/hacking/building; partnership and collaboration; open communication and respect; inclusiveness; and opportunity for all.
Our Vision
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 van der Stegen Lab at Biohub NY studies human immune cell development from induced pluripotent speak cells and designs engineering strategies to harness immune cells for therapeutic applications. We are looking for a Computational Biologist to join our team to further expand our evaluation of immune cell lineage commitment, function and how genetic engineering strategies can affect those.
The Computational Biologist will possess deep expertise in the analysis of single cell transcriptional data, including developmental trajectory analysis, and ideally also have experience with proteomics datasets. They have an interest in hematopoiesis and immune cell biology and can demonstrate the intention to apply state-of-the-art analysis tools through close collaboration with the data science team at Biohub.
The New York City, NY base pay range for a new hire in this role is $153,000 - $210,100. 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.
The Research Operations Associate works closely with discovery, development, and project-planning teams at an AI-powered TechBioPharma company. Primary responsibilities will include assisting in planning and evaluating research studies, organizing and analyzing data to support validation of AI-derived pharmaceutical lead molecules, and facilitating communication between internal scientific staff and external collaborators. This position will report to the Vice President of Scientific Operations.
Key Responsibilities
Required Qualifications
Preferred Skills
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.
On our Biosecurity team, you are a software engineer focused on building and operating critical biosecurity data systems. You design reliable data pipelines and models, productionize analytics, and ensure data quality across programs spanning PCR, sequencing, wastewater, biosurveillance, and large-scale environmental monitoring.
This role requires strong software engineering fundamentals—including system design, testing, and code quality—applied to data infrastructure challenges. You will work primarily on backend data systems, designing data warehouses, building ETL/ELT pipelines, and managing data architecture. The role combines platform engineering (e.g., orchestration with Airflow, observability, infrastructure-as-code) with analytics engineering (SQL modeling, testing, documentation) to deliver reliable data products that support threat detection, pathogen attribution, and operational decision-making.
Data Platform Architecture & Engineering
Data Quality & Governance
API & Integration Development
AI & Data Democratization
Cloud Infrastructure & Performance
Technical Leadership & Collaboration
The base salary range for this role is $134,300-$189,900. 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.
Privacy NoticeI understand that I am applying for employment with Ginkgo Bioworks and am being asked to provide information in connection with my application. I further understand that Ginkgo gathers this information through a third-party service provider and that Ginkgo may also use other service providers to assist in the application process. Ginkgo may share my information with such third-party service providers in connection with my application and for the start of employment. Ginkgo will treat my information in accordance with Ginkgo's Privacy Policy. By submitting this job application, I am acknowledging that I have reviewed and agree to Ginkgo's Privacy Policy as well as the privacy policies of the third-party service providers used by Ginkgo's associated with the application process.
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.
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.
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.
This role will lead Data Engineering, which builds the infrastructure that makes our biological foundation models possible—ingesting data from public repositories, merging it with large-scale internal data generation projects, transforming heterogeneous biological formats into AI-ready datasets, and delivering petabytes of training data to researchers pushing the boundaries of what's possible in biological AI. You'll set technical direction, hire, grow and develop engineers, and ensure we deliver reliable, scalable systems that keep pace with our ambitions. The software your team builds will directly shape what our models can learn.
This is a player-coach role. You'll spend meaningful time on technical leadership—architecture decisions, code review, unblocking hard problems—while also building and managing a high-performing team. We're a small organization with significant resources and long time horizons that values small, high functioning teams. We use AI tools aggressively, care deeply about code quality and operational reliability, and want leaders who understand why biology matters.
If you want to build and lead a team at the intersection of large-scale infrastructure and frontier science, with real autonomy and the chance to shape something genuinely new, we'd like to talk.
The Redwood City, CA base pay range for this role is $323,000 - $444,400. 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.
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.
We believe that diverse perspectives are foundational to scientific innovation and inquiry. 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.
As part of our team, you will help to accelerate and optimize our progress in agentic AI methods for biological and clinical data curation and analysis.
In this role, you will be an integral part of our multidisciplinary teams building the computational platforms that will enable Altos to achieve its mission. You will collaborate with biomedical research experts as well as other machine learning scientists and engineers across the Institute of Computation to contribute to the Altos research and translation ecosystem, focusing on designing and building state-of-the-art agentic AI systems and workflows that tackle biological questions, accelerate clinical data analysis, and aid in the discovery of novel interventions for aging and disease.
Location
Role
Salary Range
Redwood City
Senior Scientist I, Machine Learning
$270,600 - $330,000
San Diego
Senior Scientist I, Machine Learning
$251,700 - $307,000
Exact compensation may vary based on skills, experience, and location.
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.
Note: Altos Labs will never ask you to download a messaging app for an interview or request money to get started. Please stay vigilant against recruitment scams.
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.
Our immune cell reprogramming team integrates foundational research on immunology and disease biology with AI-modeling to develop engineered cells that harness our own immune system to detect and treat early signs of age-related diseases, like cancer, Alzheimer’s, and Parkinson’s. These technologies will enable precise, context-dependent therapeutic responses only when and where it is needed.
Our work brings together three powerhouse universities—Columbia University, The Rockefeller University, and Yale University—into a single collaborative technology and discovery engine.
Our Vision
Biohub is seeking a detail-oriented and collaborative Research Associate to support the development and operation of a Multiomics and Immune Profiling Lab (MIP Lab) situated inside Yale University (in the Biohub Yale Annex).
The MIP Lab will implement high-throughput multiomics and immune profiling including multimodal single cell profiling, as well as genetics and environment perturbation experiments with readouts from single-cell genomics and high-dimensional spatial profiling. This position is ideal for someone who is passionate about cutting-edge molecular technologies and thrives in a team-oriented, large-scale project environment.
Essential
Nice to Have
The New Haven, Connecticut base pay range for a new hire in this role is $68,000.00 – $93,500.00. Actual placement in the range is based on job-related skills and experience.
About The 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 Sr. Scientist 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.
$158,400 — $214,200 USD
Below is the base pay range for this full-time position. The actual base pay will depend on several factors unique to each candidate, including skills, qualifications, and experience. At 10x, base pay is just one component of the total compensation package, which also includes equity grants, comprehensive health and retirement benefit programs, and an annual bonus or sales incentive program.
About 10x Genomics
At 10x Genomics, accelerating our understanding of biology is more than a mission for us. It is a commitment. This is the century of biology, and the breakthroughs we make now have the potential to change the world. We enable scientists to advance their research, allowing them to address scientific questions they did not even know they could ask. Our tools have enabled fundamental discoveries across biology including cancer, immunology, and neuroscience.
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.
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.
$65,000 - $75,000 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.
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.