Senior Computational Biologist

Probably Genetic

. Own bio data pipelines and interpretation end-to-end .

Posted 11/10/2026full-timeSan Francisco • California • United StatesSenior💰 $160,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in processing, analyzing, and interpreting genetic and genomic data, with a strong foundation in statistical genetics and computational biology. Proficient in collaborating with multidisciplinary teams to drive target discovery and validation in a fast-paced environment.

Highest-signal resume keywords

PhD In Statistical GeneticsStrong Python SkillsExperience With Workflow ManagersGenetic/Genomic Data AnalysisMulti-Omics Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Genetic Data ProcessingGenomic Data InterpretationPower AnalysisAssociation MappingCausal Gene MappingRare Variant Burden TestsColocalization TestsMendelian RandomizationData Modality CollectionTarget-Indication Pair Validation

Soft Skills

EmpathyPatient FocusAction-OrientedAdaptabilityCollaboration

Tools & Technologies

SnakemakeCloud-Scale Genomic Data ResourcesPublic Genetic ResourcesGnomADGTExOpen TargetsClinVar

Industry Keywords

BiotechBiopharmaTarget DiscoveryHuman GeneticsDisease-Enriched Cohorts

Tech Stack

Tools & technologies

CloudPython

About the role

Key responsibilities & impact

Own bio data pipelines and interpretation end-to-end
Take genetic data from QC through positive control recovery to novel, causal, direction-of-effect target hypotheses
Collaborate with the team on prioritizing new data modalities to collect
Process, analyze, and interpret genetic/genomic data
Run power analyses to inform phenotype and indication prioritization, database scaling, and data modality collection
Prove pipelines recover known gene-phenotype associations and approved target-indication pairs
Replicate findings against public resources
Conduct association and causal gene mapping in a selected indication using 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
Inform in vitro experimental plans and priorities
Report to the VP of R&D

Requirements

What you’ll need

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 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
Comfortable working with cloud-scale genomic data resources
Enough ML fluency to collaborate closely, support data preparation and have productive discussions
Energized by the mission to develop new treatments for patients who have none
Bonus: target discovery or human genetics experience in biotech or biopharma
Bonus: experience with genetic disease and/or disease-enriched cohorts
Bonus: multi-omics experience, e.g. transcriptomics, proteomics
Empathy and patient focus
Comfortable in a fast-paced, often ambiguous environment with rapid change
Action-oriented and excited to build a company from the ground up
Legally authorized to work in the United States
Willing and able to work in-office Tuesday–Thursday each week; remote-only work is not available
Must reside in the Bay Area or be willing and able to relocate without relocation assistance

Benefits

Comp & perks

Competitive salaries
Meaningful early stage equity
Fair and equitable compensation
Competitive early-stage equity grants
Generous Flexible Time off policy
Parental Leave Benefits (12 weeks for both birthing and non-birthing)
Hybrid, flexible work with high-trust and autonomy
Bright, inviting, pet-friendly office in Downtown SF near transit
Company-sponsored team lunch every Thursday
“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