Senior Computational Biologist

Probably Genetic; San Francisco (CA); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Flexible time off

Parental leave (12 weeks)

Hybrid work

Pet-friendly office

Team lunches

Work from anywhere (4 weeks/yr)

Company retreats

Health benefits + 401k

Job summary

Probably Genetic is seeking a Senior Computational Biologist to own our bio data pipelines and interpretation end-to-end. You will take genetic data from QC through target hypotheses, collaborating with ML on multi-modal data to support discovery.

This hands-on, first-of-its-kind role reports to the VP of R&D. We value candidates with a PhD in statistical genetics or related fields and a proven track record in processing and interpreting genomic data, plus strong Python skills and ML fluency.

Qualifications

• PhD in statistical genetics, computational biology, bioinformatics, or similar required; 4+ years post-PhD.
• Proven track record of hands-on processing, analysing and interpreting genetic/genomic data.
• Experience with public resources such as gnomAD, GTEx, Open Targets, ClinVar.
• Strong Python skills; familiarity with workflow managers and cloud-scale genomic data.
• ML fluency to collaborate with ML researchers on data preparation and evaluation.
• Bonus: target discovery or human genetics in biotech or biopharma; multi-omics experience.

Responsibilities

• Bio data processing and QC: automate in-house genetic data analysis pipeline.
• Run power analyses to inform phenotype prioritization and data collection.
• Replicate known gene-phenotype associations against public resources.
• Conduct association and causal gene mapping in selected indications.
• Collaborate with ML researchers on data prep and multi-modal integration.
• Hand off prioritized targets to wet lab validation and plan in vitro work.

Skills

Python

Genomic data analysis

ML collaboration

Public genetic resources

Education

PhD in statistical genetics

Tools

Snakemake

Cloud computing

Job description

About Probably Genetic

Probably Genetic is changing the lives of patients living with severe, complex diseases. Our data platform is used by drug developers and patient advocacy groups to develop and launch treatments for these patients. Our technology discovers undiagnosed patients online, analyzes their disease state using machine learning and at-home testing, and enables compliant communication with patients. In doing so, we help patients access diagnoses, clinical trials, and treatments as early as possible.

We are a tight-knit group of hard-working, ambitious problem solvers united by a mission greater than ourselves. We do well by doing right by patients. We are developing some of the most cutting-edge solutions in healthcare, and our roadmap is packed with innovations in bioinformatics, AI, and drug development. We have built a lean, all-star team to help us bring our vision to life, and we want you to be a part of it.

Probably Genetic has raised multiple rounds of funding from Silicon Valley’s best investors, including Threshold, Khosla, and Y Combinator, and offer competitive salaries, comprehensive benefits, and meaningful early stage equity.

About the Role:

Probably Genetic has built one of the deepest phenotyped genetic disease cohorts in the U.S. by facilitating patients' access to genetic testing. We are now using this rich database for target discovery.

We're hiring a Senior Computational Biologist to own our bio data pipelines and interpretation end-to-end. . You'll take our data from QC through positive control recovery to novel, causal, direction-of-effect target hypotheses, and collaborate closely with our team on prioritizing new data modalities to collect.. In addition, your results will be used by our ML researchers to train ML models on multi-modal data and support target discovery. . This is a hands‑on, first-of‑its-kind role reporting to our VP of R&D.

What You'll Do:

• Bio data processing and QC: take over, improve and fully automate our in-house pipeline for genetic data analysis

• Run power analyses and use your insights to inform which phenotypes and indications we prioritize, how we scale our database, and which data modalities we collect

• Prove our data and pipelines recover known gene-phenotype associations and approved target-indication pairs, and replicate them against public resources

• Conduct association and causal gene mapping in a selected indication, incl. via rare variant burden tests, colocalization tests, and Mendelian randomization

• Partner with ML researchers on data preparation, multi-modal integration and shared evaluation

• Hand off prioritized targets to wet lab validation and inform in vitro experimental plans and priorities

Who You Are:

• PhD in statistical genetics, computational biology, bioinformatics, or similar, plus 4+ years post-PhD in academia or industry

• Proven track record (via shareable projects or publications) of hands‑on experience in processing, analysing and interpreting genetic / genomic data; Working knowledge of public human genetic and functional genomics resources (e.g. gnomAD, GTEx, Open Targets, ClinVar)

• Strong Python skills; experience with workflow managers (e.g., Snakemake) and comfortable working with cloud‑scale genomic data resources

• Enough ML fluency to collaborate closely, support data preparation and have productive discussions

• Energized by our mission: develop new treatments for patients who have none

• Bonus: target discovery or human genetics experience in biotech or biopharma; experience with genetic disease and/or disease‑enriched cohorts; multi‑omics (e.g., transcriptomics, proteomics)

As with all new hires at Probably Genetic, you will also need to be:

• A good person. We work with some of the most marginalized populations on the planet and empathy is key

• Patient-focused and motivated to have a lasting, positive impact on humanity

• Comfortable in a fast‑paced, often ambiguous environment with rapid change

• Action‑oriented and excited to build a company from the ground up

What we offer at Probably Genetic:

• An engaging and supportive team all on a mission to improve lives

• Fair and equitable compensation with competitive early‑stage equity grants

• Generous Flexible Time off policy, that we actually use

• Parental Leave Benefits (12 weeks for both birthing and non‑birthing)

• Hybrid, flexible work with high‑trust and autonomy

• A bright, inviting, pet‑friendly office in Downtown SF near transit

• Company‑sponsored team lunch every Thursday

• A “work from anywhere” policy, up to 4 weeks a year

• Regular team retreats in exciting destinations

• Health Benefits including medical, dental, vision, therapy, FSA, and 401k

• And so much more!

Probably Genetic is committed to fostering a welcoming and inclusive work environment for people of all genders, sexuality, ethnicity, socioeconomic background and life experiences. We urge candidates of all backgrounds to apply. If you require specific accommodations as you interview or consider working with us, please let us know.