Senior Manager / Director, Statistical Genetics

insitro's mission is to bring better drugs faster to the patients who can benefit most, through machine learning and data at scale. Our strategy combines causal evidence from human genetics with in vitro cellular data from our automated wet-lab platforms to find causal genetic intervention points and carry them into therapeutic programs.

In this role you'll lead and grow an established team of statistical geneticists responsible for advancing our machine learning statistical genetics platform and using it to extract novel biological insight. You'll partner closely with ML scientists to develop novel phenotypes, with software engineers to build robust tools, and with computational biologists and therapeutic area scientists to turn genetic signals into programs. As the leader of this team, you'll set both strategic and technical direction, and structure the collaborations that move insitro's programs forward through a deeper understanding of causal human biology.

This position reports to the Senior Director, AI/ML (Human Genetics), and is remote-eligible within the US or based in South San Francisco with an in-person hybrid schedule of three days per week.

Team & Technical Leadership

• Lead the Team: Lead, mentor, and grow a team of four statistical geneticists developing methods to extract insight from human genetics
• Set the Direction: Define the roadmap and priorities for statistical genetics at insitro, and hold the bar for rigor

Methods & Platform Innovation

• Advance the Methods: Lead the team in building new ML methodology that extracts more signal from human genetics and integrates it with other data modalities
• Make It Reusable: Partner with software engineering to turn one-off analyses into well-tested workflows the whole research organization can run

Target Discovery & Translation

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