Senior Manager, Imaging Machine Learning

Benefits

Parental leave

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Non-birth-parent leave

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Market context

U.S. role benchmark (BLS OEWS)

$81,444 U.S. median for this role

Projected growth (BLS Employment Projections)

+6.9% - Faster than average

Matched to SOC 29-1141 - Healthcare aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work

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Application

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About this role

Senior Manager, Imaging Machine Learning South San Francisco, CA The Opportunity insitro's mission is to bring better drugs faster to patients who can benefit most, through machine learning and data at scale. Our discovery strategy integrates insights from multiple phenotypic readouts across diverse high-content data modalities, including data from public and proprietary human cohorts and in vitro cellular systems generated by our proprietary, automated wet-lab platforms. In this role, you will lead and grow a team of exceptional machine learning researchers responsible for co-developing methods for extracting information from in-vitro biology using computer vision and machine learning. You will lead an established team of 5 machine learning scientists, several at the Staff level, and be expected to grow it over time. Your team will partner closely with laboratory scientists to develop biological assays in a tight loop, iterating sample preparation protocols and feature extraction methods in tandem. As the manager of this team, you will be responsible for structuring these collaborations in ways that ensure the success of all teams, and your individual team members, as measured by our ability to drive insitro's therapeutic programs forward through understanding of causal human biology. In addition to working closely with the lab, you and your team will partner closely with our imaging software team, responsible for co-developing and scaling methods your team develops, and computational biologists who will subsequently leverage these tools to extract program-level insights in conjunction with omics (perturb-seq) and clinical insights. As the leader of a team of researchers

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