Bioinformatics Engineer - Biologics Drug Discovery
As molecular data generation and frontier model intelligence grows, new approaches to data analysis are needed across the biotech industry. Latch is building intelligent, high-performance agents for biological data analysis, empowering over 5,000 scientists across 150+ R&D labs to handle data from instrument-to-insights.
We're seeking a Bioinformatics Engineer to join our Biologics Drug Discovery team, working at the frontier of what artificial intelligence can achieve in biology.
About the Role
You will contribute to our technical approach for evaluating how AI agents reason through complex biologics therapeutics datasets. Working with software engineers and biologists, you'll build ground-truth benchmark datasets - drawn from real antibody and protein discovery programs - that rigorously test whether agents can perform the critical decision-making steps that human scientists execute.
Your hands-on expertise in variant ranking, enrichment analysis, and advancement prioritization will define how we measure agent capability in therapeutic discovery.
Requirements
• 2+ years hands-on experience with biologics discovery or development (antibody engineering, protein engineering, or cell/molecular biology-driven target validation)• Experience interpreting binding kinetics (SPR/BLI), biophysical stability data, and/or cell-based potency assays• Proficiency in Python and/or R for data analysis & visualization• Familiarity with at least one of:• Antibody optimization (CDR engineering, VH/VL pairing, variant screening)• Protein structure (AlphaFold, cryo-EM, docking)• High-throughput antibody/binding screens• PK/PD modeling for biologics (target occupancy, half-life, clearance)• Bioprocess/manufacturability constraints
Nice-to-Have
• Experience with immunogenicity risk assessment• Hands-on work with potency assay design (ELISA, cell-based, biochemical)• CMC/GMP-adjacent knowledge
Culture @ Latch
How we work. Genuinely flexible schedules - we just ask that you communicate when you're coming in later than usual. We care most about hard work and output. We're respectfully opinionated, it will always be us against problems, not each other. Optimize for each other's time and bring solutions, not just problems. You'll join a bench suited to your expertise, but we value cross-domain learning and interoperability across teams.
The office & perks. Waterfront office near Oracle Park, 2x free daily meals, unlimited snacks, company outings most months, and team offsites. Plus a vibrant community: cycling, soccer, figure skating, boxing, run clubs, reading clubs, martial arts, music, game nights.
Compensation & Logistics
• 1099 (or W8-BEN) contract, 40 hrs/week, no end date• Fully performance-based pay: $120K–$180K, uncapped upside. 2x quota = 2x pay.• 2-4 week paid ramp—full OTE from day one• Remote (globally), hybrid, or onsite in SF (onsite preferred)• Work authorization: OPT visa holders only (not STEM Extension)• Onsite perks: 2x free meals/day, waterfront office (China Basin), monthly parking (based on availability)• Candidates with all of the above qualifications + proven management skills will be eligible for more senior positions
Interview Process
Timeline: We move fast: 8–12 days from submission to offer.
Bioinformatics Engineer - Biosurveillance
As molecular data generation and frontier model intelligence grows, new approaches to data analysis are needed across the biotech industry. Latch is building intelligent, high-performance agents for biological data analysis, empowering over 5,000 scientists across 150+ R&D labs to handle data from instrument-to-insights.
We're seeking a Bioinformatics Engineer to join our Biosurveillance team, working at the frontier of what artificial intelligence can achieve in biology.
About the Role
You will contribute to our technical approach to teaching agents how to understand and handle complex infectious disease surveillance and molecular epidemiology data, working across end-to-end analysis workflows from sequencing outputs to real scientific decisions.
You will work as part of a team of software engineers and biologists building datasets to teach these agents to reason better across:
• Clinical or environmental metagenomics, including sequencing quality control, taxonomic classification, contamination assessment, pathogen discovery, and metagenomic assembly.• Viral genome reconstruction, annotation, consensus generation, lineage or subtype assignment, and sequencing quality assessment.• Variant calling, within-host diversity, mixed infections, haplotype reconstruction, recombination, and reassortment.• Phylogenetics, phylodynamics, viral evolution, genomic epidemiology, transmission analysis, and outbreak reconstruction.• Wastewater, air, or environmental surveillance, including mixture analysis, abundance estimation, and integration with clinical surveillance.• Molecular assay design, including qPCR primers and probes, tiled amplicon schemes, inclusivity and exclusivity analysis, and assay-dropout monitoring.• Host-response analysis using bulk RNA-seq, single-cell RNA-seq, spatial data, immune-receptor sequencing, or other multiomic measurements.• Antigenic evolution, immune escape, vaccine-strain selection, antiviral resistance, or viral protein analysis.• Infectious disease modeling, forecasting, population surveillance, and integration of genomic, epidemiological, and clinical data.• Public-health bioinformatics, reproducible scientific software, data standards, uncertainty assessment, and communication of results to scientific decision-makers.
Experience across every area is not required. We value candidates who have developed depth in one area and can reason carefully across adjacent disciplines.
Requirements
• 3+ years hands-on experience with infectious disease surveillance, metagenomics, or molecular epidemiology data• Proficiency in Python and/or R
Culture @ Latch
How we work. Genuinely flexible schedules - we just ask that you communicate when you're coming in later than usual. We care most about hard work and output. We're respectfully opinionated, it will always be us against problems, not each other. Optimize for each other's time and bring solutions, not just problems. You'll join a bench suited to your expertise, but we value cross-domain learning and interoperability across teams.
The office & perks. Waterfront office near Oracle Park, 2x free daily meals, unlimited snacks, company outings most months, and team offsites. Plus a vibrant community: cycling, soccer, figure skating, boxing, run clubs, reading clubs, martial arts, music, game nights.
Compensation & Logistics
• 1099 (or W8-BEN) contract, 40 hrs/week, no end date• Fully performance-based pay: $120K–$180K, uncapped upside. 2x quota = 2x pay.• 2-4 week paid ramp - full OTE from day one• Remote (globally), hybrid, or onsite in SF (onsite preferred)• Work authorization: OPT visa holders only (not STEM Extension)• Onsite perks: 2x free meals/day, waterfront office (China Basin), monthly parking (based on availability)• Candidates with all of the above qualifications + proven management skills will be eligible for more senior positions
Interview Process
Timeline: We move fast: 8–12 days from submission to offer.
Bioinformatics Engineer - VariantAs molecular data generation and frontier model intelligence grows, new approaches to data analysis are needed across the biotech industry. Latch is building intelligent, high-performance agents for biological data analysis, empowering over 5,000 scientists across 150+ R&D labs to handle data from instrument-to-insights.
We're seeking a Bioinformatics Engineer to join our Variant team working at the frontier of what artificial intelligence can achieve in biology.
About the Role
You'll design, build, and evaluate LLM benchmarks for genomic analysis - spanning read alignment, assembly, variant calling, GWAS, causal inference, and multiomics integration. Your benchmarks and evaluations will set the bar for how well AI agents can serve as analysis partners for scientists working with human genetics data.
You'll own the full evaluation pipeline: choosing datasets, defining failure modes, writing grading scripts, and shipping evaluations that measure real capability. Your work directly impacts how LLMs reason through genomic problems.
Requirements
• Master's or PhD in bioinformatics, genetics, biology, statistics, or related field• 3-5 years of hands-on research experience analyzing genomics datasets (especially human data), demonstrated through publications or industry work• Deep expertise in at least one of: population genetics, statistical genetics, clinical genomics• Fluency with genotyping workflows: variant calling, fine-mapping, Mendelian randomization
Nice-to-Have
• Experience building open-source bioinformatics software• Familiarity with LLM-powered tools, prompting, or evaluation frameworks• Background in cross-trait analysis or multiomics integration
Culture @ Latch
How we work. Genuinely flexible schedules - we just ask that you communicate when you're coming in later than usual. We care most about hard work and output. We're respectfully opinionated, it will always be us against problems, not each other. Optimize for each other's time and bring solutions, not just problems. You'll join a bench suited to your expertise, but we value cross-domain learning and interoperability across teams.
The office & perks. Waterfront office near Oracle Park, 2x free daily meals, unlimited snacks, company outings most months, and team offsites. Plus a vibrant community: cycling, soccer, figure skating, boxing, run clubs, reading clubs, martial arts, music, game nights.
Compensation & Logistics
• 1099 (or W8-BEN) contract, 40 hrs/week, no end date• Fully performance-based pay: $120K–$180K, uncapped upside. 2x quota = 2x pay.• 2-4 week paid ramp - full OTE from day one• Remote (globally), hybrid, or onsite in SF (onsite preferred)• Work authorization: OPT visa holders only (not STEM Extension)• Onsite perks: 2x free meals/day, waterfront office (China Basin), monthly parking (based on availability)• Candidates with all of the above qualifications + proven management skills will be eligible for more senior positions
Interview Process
Timeline: We move fast: 8–12 days from submission to offer.
WHO WE ARE
Parse Biosciences, a QIAGEN company, is a global life sciences company whose mission is to accelerate progress in human health and scientific research. Empowering researchers to perform single cell sequencing with unprecedented scale and ease, its pioneering approach has enabled groundbreaking discoveries in cancer treatment, tissue repair, stem cell therapy, kidney and liver disease, brain development, and the immune system.
Founded based on a transformative technology invented at the University of Washington, Seattle-based Parse has raised over $100 million and is used by over 3,000 labs across the world. Our growing portfolio of products includes Evercode Whole Transcriptome, Evercode TCR, BCR, Gene Capture, and Trailmaker, a software tool for data analysis.
THE PRODUCT
We’ve built the most popular, freely available cloud-based platform for single cell RNA sequencing data analysis - Trailmaker. Trailmaker allows anyone to easily turn their single cell datasets into meaningful biology. With >1200 monthly active users from top tier research institutions across the world, we’re offering a rare opportunity to join our team and change the world by building tools that help to improve human health.
The user requirements for Trailmaker dictate a unique set of technical challenges. Handling big data files, running custom data processing pipelines, on-the-fly computation, and providing interactive data visualisations with millions of data points are just some of the challenges our team is busy with!
THE POSITION
As a Bioinformatics Engineer II within the Trailmaker development team, you will play a key role in guiding the technical direction of the platform while contributing hands-on across the full stack. You’ll collaborate closely with other engineers to architect and build new features that drive user engagement. This is a highly collaborative environment with no division between backend, frontend or testing roles - each engineer contributes to any part of the codebase and is responsible for the entire development process from work planning, through implementation and writing tests to completing the feature.
YOU CAN EXPECT
• An agile, diverse and multidisciplinary team.• A supportive, inclusive and transparent working environment where teammates learn from and help each other all the time.• A place to look at things differently, challenge and offer solutions.• A small team environment where you will have the opportunity to make a significant impact by actively driving change in technology, processes and culture.• A fast-paced environment of continuous improvement, optimised for impact.
IN THIS POSITION, YOU WILL
This position is for full time, 100% remote work. We would expect you to:
• Always put the user first.• Design, prototype, develop, and test new computational pipelines and visualizations for single cell data analysis in Trailmaker.• Continuously iterate and improve existing single cell pipelines and features.• Receive and incorporate feedback from customers and colleagues.• Perform troubleshooting of customer analyses.• Keep up-to-date on the rapidly evolving field of single cell genomics and relay observations of new methods, benchmarking studies, etc. to the team.• Experiment, test, try, fail and learn continuously.• Think like an owner, and take pride in your work.• Help and mentor teammates.
FOR THIS POSITION, WE LOOK FOR
• Someone excited about building tools that will be used by thousands of single cell researchers.• A track record of designing, building and improving data analysis software that solves user problems.• A degree in bioinformatics (or similar) and 3+ total years of experience working in bioinformatics engineer roles. Additional experience (5+ years) is necessary to be appointed at Bioinformatics Engineer II level.• Fluent in Python and R.• Practical experience of working with open source single cell data analysis tools and packages, including Scanpy and Seurat.• Competency working with container-based cloud applications, ideally on AWS.• Strong data visualization skills.• Significant experience in conducting code reviews and providing feedback to others.• Experience and desire to work as part of a close-knit team.• Experience using version control systems such as Git/GitHub is preferred.• Proficiency building pipelines with Nextflow or similar frameworks is preferred.• Experience of integrating AI tools into development workflows is preferred.• Knowledge of and/or interest in web development is preferred.• Experience working with Bash is preferred.
JOB CONDITIONS
• This position is home office based and will require a reliable internet connection and suitable workspace to fulfill job duties effectively. Laptop and any other essential technical/home office equipment will be provided.• Regular communication and collaboration with team members will occur virtually through Zoom meetings, Slack instant messaging/huddles, and email.
Parse Biosciences is proud to be an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other status protected by federal, state, or local law.
As part of our commitment to fairness and inclusion, we do not use artificial intelligence or automated systems to screen job applications. Every application is reviewed by a member of our hiring team to ensure that hiring decisions are made thoughtfully and equitably.
WHO WE ARE
Parse Biosciences, a QIAGEN company, is a global life sciences company whose mission is to accelerate progress in human health and scientific research. Empowering researchers to perform single cell sequencing with unprecedented scale and ease, its pioneering approach has enabled groundbreaking discoveries in cancer treatment, tissue repair, stem cell therapy, kidney and liver disease, brain development, and the immune system.
Founded based on a transformative technology invented at the University of Washington, Seattle-based Parse has raised over $100 million and is used by over 3,000 labs across the world. Our growing portfolio of products includes Evercode Whole Transcriptome, Evercode TCR, BCR, Gene Capture, and Trailmaker, a software tool for data analysis.
THE PRODUCT
We’ve built the most popular, freely available cloud-based platform for single cell RNA sequencing data analysis - Trailmaker. Trailmaker allows anyone to easily turn their single cell datasets into meaningful biology. With >1200 monthly active users from top tier research institutions across the world, we’re offering a rare opportunity to join our team and change the world by building tools that help to improve human health.
The user requirements for Trailmaker dictate a unique set of technical challenges. Handling big data files, running custom data processing pipelines, on-the-fly computation, and providing interactive data visualisations with millions of data points are just some of the challenges our team is busy with!
THE POSITION
As a Bioinformatics Engineer II within the Trailmaker development team, you will play a key role in guiding the technical direction of the platform while contributing hands-on across the full stack. You’ll collaborate closely with other engineers to architect and build new features that drive user engagement. This is a highly collaborative environment with no division between backend, frontend or testing roles - each engineer contributes to any part of the codebase and is responsible for the entire development process from work planning, through implementation and writing tests to completing the feature.
YOU CAN EXPECT
IN THIS POSITION, YOU WILL
This position is for full time, 100% remote work. We would expect you to:
FOR THIS POSITION, WE LOOK FOR
JOB CONDITIONS
Parse Biosciences is proud to be an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other status protected by federal, state, or local law.
As part of our commitment to fairness and inclusion, we do not use artificial intelligence or automated systems to screen job applications. Every application is reviewed by a member of our hiring team to ensure that hiring decisions are made thoughtfully and equitably.
BENEFITS & COMPENSATION
To meet the health and wellness needs of our team, Parse offers a comprehensive benefits package for all full time employees, including:
Market Pay Range: $100,000 — $135,000 USD
Exact compensation offered will be determined based on the candidate’s education, experience, skills, and geographic location, and may vary for candidates in regions with significantly different market conditions.
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.