Senior Computational Biologist (Genomics/AI)

Location: San Francisco, USA; hybrid workplace

Salary: $160K–$200K per year, plus equity.

Company

hirify.global develops a healthcare data platform that uses genetic data, machine learning, and at-home testing to identify patients with severe, complex diseases and support diagnoses, clinical trials, treatments, and drug development.

What you will do

• Own, improve, and automate genetic data processing and quality-control pipelines.
• Run power analyses to guide phenotype and indication prioritization, database scaling, and collection of new data modalities.
• Validate pipelines by recovering known gene–phenotype associations and approved target–indication pairs against public resources.
• Conduct association and causal gene mapping, including rare-variant burden, colocalization, and Mendelian randomization analyses.
• Collaborate with ML researchers on data preparation, multi-modal integration, and evaluation.
• Prioritize targets for wet-lab validation and inform in vitro experimental plans.

Requirements

• PhD in statistical genetics, computational biology, bioinformatics, or a similar field, plus 4+ years of post-PhD experience in academia or industry.
• Hands-on experience processing, analyzing, and interpreting genetic or genomic data, demonstrated through shareable projects or publications.
• Working knowledge of public human genetic and functional genomics resources, including gnomAD, GTEx, Open Targets, and ClinVar.
• Strong Python skills and experience with workflow managers such as Snakemake.
• Comfort working with cloud-scale genomic data resources.
• Sufficient ML fluency to collaborate on data preparation and participate in technical discussions.
• Empathy for marginalized patient populations, patient-focused motivation, comfort with ambiguity and rapid change, and an action-oriented approach to building a company.

Nice to have

• Target discovery or human genetics experience in biotech or biopharma.
• Experience with genetic disease or disease-enriched cohorts.
• Multi-omics experience, such as transcriptomics or proteomics.

Culture & Benefits

• Hybrid, flexible work with high trust and autonomy.
• Work-from-anywhere policy for up to 4 weeks per year.
• Competitive compensation, early-stage equity grants, flexible time off, and 12 weeks of parental leave for birthing and non-birthing parents.
• Medical, dental, vision, therapy, FSA, and 401(k) benefits.
• Pet-friendly Downtown San Francisco office near transit, weekly company-sponsored team lunch, and regular team retreats.
• Inclusive, supportive environment focused on improving patient lives.