Hiring: Senior Manager, Imaging Machine Learning Company: insitro Location: South San Francisco, CA Job Posted Time: 2026-09-10 10:27:05 Employment Type: Hybrid Target Skills & Keywords : CV, Computer Vision, Machine Learning About the job Experience: •3+ years of people management, including solid-line management of multiple ICs and at least one senior (Staff-level) scientist or engineer Required Skills: •. This is a hybrid position that requires you to be in our South San Francisco headquarters at least three days per week •. Join us, and help make a difference to patients! •Lead, mentor, and grow a team of outstanding machine learning scientists to co-develop methods of extracting insights from in-vitro microscopy datasets •Work closely with laboratory leadership to structure assay development efforts, and empower members of your team to co-develop in-vitro microscopy assays suitable for genetic perturbation screening, often at whole-genome scale •Ensure the successful translation of assays you develop to insitro’s computational biology team, who will leverage the assays your teams develop to investigate causal biology through the integration of diverse data modalities, including microscopy •Co-develop the product vision for insitro’s industry-leading imaging software platform, and continue to support its development through method de-risking and translational development through adherence to established processes for contribution •Develop methods of measuring and qualifying microscopy data prior to model training and inference, including those which leverage agentic frameworks, VLMs, and self-supervised classification •Stay abreast of industrial trends and scientific literature in order to ensure insitro’s methods remain industry-leading and correctly matched to our applications. Qualifications: •Strong grounding in computer vision and machine learning fundamentals, with practical judgment about where these methods work and where they fail •Demonstrated experience applying CV/ML to pixel data to extract quantitative features and downstream biological insight •Working understanding of imaging principles — image formation, microscopy fundamentals, and the artifacts that arise from instruments and sample preparation •Applied hands-on capability in cellular imaging datasets (e.g. fluorescence/confocal or label-free microscopy) •Track record of mentoring and growing technical talent day-to-day •Technical leadership as a decision-maker on projects, platforms, or teams •Strong communication and the ability to collaborate across functions, including with experimental and clinical life scientists •Operational familiarity with genetic perturbation screening, ideally at genome scale •Conversational understanding of a relevant disease area (neuroscience, metabolic disease, or cancer biology) •Our target starting salary for successful US-based applicants for this role is $247,000 - $262,000. To determine starting pay, we consider multiple job-related factors including a candidate's skills, education and experience, market demand, business needs, and internal parity. We may also adjust this range in the future based on market data. Compensation: •$247,000 - $262,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!