Drimva

Insitro

Senior Manager, Imaging Machine Learning

$247K–$262K

South San Francisco, CA · Manager · Full-time · Posted Jun 11, 2026

Experience
3+ years of people management; no total years of professional experience stated.

About the job

Leads and grows a machine learning team developing computer vision methods and microscopy assays to extract biological insights and support drug discovery.

What you'll do

  • Lead, mentor, and grow a team of machine learning scientists, setting team goals and strategic roadmaps.
  • Partner with laboratory scientists to develop in-vitro microscopy assays and with computational biology and software teams to translate and scale methods.
  • Develop and qualify imaging data methods, contribute to method and code reviews, and help shape the imaging software platform.

What they ask for

  • Strong grounding in computer vision and machine learning, with demonstrated application to pixel data for quantitative features and biological insight.
  • Working understanding of imaging principles and hands-on experience with cellular imaging datasets.
  • 3+ years of people management, including solid-line management of multiple individual contributors and at least one senior (Staff-level) scientist or engineer.
  • Track record of mentoring technical talent, technical leadership, and cross-functional communication and collaboration.

Nice to have

  • Experience with additional high-content modalities, genetic perturbation screening, or imaging data-quality methods.
  • Disease-area knowledge or experience contributing to an imaging/computer vision software platform.

Pay

$247,000 - $262,000 USD base salary

Tools

computer vision, machine learning, VLMs, self-supervised classification, perturb-seq

AI focus

Develops computer vision and machine learning methods for in-vitro microscopy, including data-quality methods using agentic frameworks, VLMs, and self-supervised classification, to support biological discovery.

Model-written summary · the original posting is authoritative

First seen Oct 27, 2026 · Last verified Nov 5, 2026 (UTC)