At insitro, we are building a different kind of drug company to bring better drugs faster to the patients who can benefit most. Through the power of machine learning (ML) and data at scale, we decode the complexities of biology to unlock transformative new... Backed by SoftBank VF, a16z and GV.
About the role
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.
What they're looking for
- Proven Tenure: PhD in statistical genetics, human genetics, computational biology, biostatistics, or a related field, plus 5+ years of experience
- Statistical Genetics Depth: Deep knowledge of statistical genetics as applied to target discovery in an industry setting
- People Leadership: Direct people management experience, with a track record of mentoring and growing technical talent
- ML Fluency: Demonstrated experience applying machine learning to genetic, imaging, or other clinical data
- Published Innovator: A history of publication and methodological innovation in statistical genetics
- Engineering Fluency: Strong Python or R in a cloud environment, with a track record of reusable, tested, version-controlled code
More about this role
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.
Lead the Team: Lead,...
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