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Senior Machine Learning Scientist, Imaging

insitro· Data Science and Machine Learning
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Hybrid (South San Francisco, CA)$215k - $235kFull-timePosted 4mo ago

About the role

Imaging based phenotyping of in-vitro biology to accelerate drug development. Develop ML-empowered computer vision pipelines to extract disease insights from microscopy data, collaborating in a cross-functional team to identify targets and advance drug candidates.

Responsibilities

  • Partner with experimental and computational biologists to design, troubleshoot, and optimize high-throughput imaging-based experiments and workflows
  • Identify, understand, develop, and deploy novel computer vision and machine learning methods such as segmentation, feature extraction, and representation learning to extract features from microscopy image datasets
  • Work closely with software engineers to build robust and well-tested image analysis workflows, able to be used by experimental and computational biologists with minimal direct support
  • Calibrate analysis tools and workflows, define performance metrics, and conduct benchmarking to select fit-for-purpose solutions
  • Communicate findings to cross-functional stakeholders through reports, visualizations, presentations, and publications
  • Identify novel disease-relevant phenotypes and propose new screening paradigms that translate to actionable program decisions

Qualifications

  • Ph.D. in computer vision, machine learning, computer science or a related discipline, or equivalent practical experience (e.g., a Master's degree and 2+ years of relevant industry experience)
  • Ability to communicate effectively and collaborate with people of diverse backgrounds and job functions on a daily basis
  • Demonstrated ability to identify, understand, and find novel applications of state-of-the-art ML/CV methods from literature or other sources
  • Strong programming skills in Python, including working with TB-scale image datasets and leveraging modern agentic software tools to accelerate development
  • Experience developing models for diverse computer vision tasks (e.g. segmentation, recognition, classification, domain adaptation) including using modern deep learning frameworks (PyTorch, TensorFlow, Keras, etc)
  • Extensive hands on experience working with microscopy data or similar biomedical or physical imaging modalities
  • Passion for making a difference in the world

Skills

Required:Ph.D. in computer vision, ML, CS or equivalentPythonTB-scale image data handlingDeep learning frameworksMicroscopy data analysis

Benefits

  • 401(k) plan with employer matching for contributions
  • Excellent medical, dental, and vision coverage as well as mental health and well-being support
  • Open, flexible vacation policy
  • Paid parental leave of at least 16 weeks to support parents who give birth, and 10 weeks for a new parent (inclusive of birth, adoption, fostering, etc)
  • Quarterly budget for books and online courses for self-development
  • Support to attend professional conferences that are meaningful to your career growth and role's responsibilities
  • New hire stipend for home office setup
  • Monthly cell phone & internet stipend
  • Access to free onsite baristas and daily lunch for employees who are either onsite or hybrid
  • Access to a free commuter bus network that provides transport to and from our South San Francisco HQ from locations all around the Bay Area
Last updated Jul 23, 2026. Interested? Apply on the company site.

About insitro

Making Medicines Differently

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 medicines.

PipelinePlatformPeoplePublications & PressML-driven platformdrug discoveryneurosciencemetabolism
Company profileWebsite

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