Senior Computational Biologist: Target Discovery & Multi-Omics

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

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.