Senior Computational Biologist ML-Driven Genetics Pipeline

present of AI; San Francisco (CA); Remote; USD 150,000 - 210,000; Full time

Job summary

present of AI in San Francisco is seeking a Senior Operations scientist to own the genetic data pipeline from QC through causal target hypotheses. You will shape analyses and automate workflows in a fast-moving AI-driven environment.

The role requires a PhD in statistical genetics with several years of postdoctoral experience, strong Python and Snakemake skills, and a track record in rare variant burden analysis and ML data preparation. Remote work is possible.

Qualifications

• PhD in statistical genetics or a closely related field.
• Hands-on experience with statistical genetics analyses.
• Strong Python and Snakemake workflow skills.
• Experience automating data processing pipelines.

Responsibilities

• Own the genetic data pipeline from QC to causal target hypotheses.
• Run power analyses to guide phenotypes and data types.
• Validate pipelines by recovering known gene-to-phenotype links using public resources.
• Collaborate with ML researchers to prepare multi-omics data for models.

Skills

Statistical genetics

Python

ML data preparation

Power analysis

Education

PhD in Statistical Genetics

Postdoctoral experience

Tools

Snakemake

Job description

present of AI in San Francisco is seeking a Senior Operations scientist to own the genetic data pipeline from QC through causal target hypotheses. You will shape analyses and automate workflows in a fast-moving AI-driven environment.

The role requires a PhD in statistical genetics with several years of postdoctoral experience, strong Python and Snakemake skills, and a track record in rare variant burden analysis and ML data preparation. Remote work is possible.