Senior Machine Learning Scientist, Imaging

The role

You will develop computer vision pipelines to extract insights about disease mechanisms from multiple microscopy modalities. You will work in a cross-functional team to identify therapeutic targets and develop drugs.

What you will do

• 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
• Work closely with software engineers to build robust and well-tested image analysis workflows
• Calibrate analysis tools and workflows, define performance metrics, and conduct benchmarking
• Communicate findings to cross-functional stakeholders through reports, visualizations, presentations, and publications
• Identify novel disease-relevant phenotypes and propose new screening paradigms

Required 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
• Experience developing models for diverse computer vision tasks (e.g. segmentation, recognition, classification, domain adaptation) including using modern deep learning frameworks (PyTorch, TensorFlow,
• Extensive hands on experience working with microscopy data or similar biomedical or physical imaging modalities
• Passion for making a difference in the world

Nice to have

• Demonstrated ability to write software in a team, industry experience or substantial involvement with open source projects
• Experience modeling with video or imaging time-series datasets
• Experience with microscopy hardware, and/or image data acquisition in other contexts
• Understanding of optical physics, resolution, numerical aperture, etc.
• Familiarity with cloud computing services (e.g., AWS or Azure)
• Experience with database languages (e.g., SQL)
• Publication record of meaningful contributions to high-quality work in relevant computer vision, clinical ML, or biomedical venues

Benefits

• 401(k) plan with employer matching for contributions
• Medical, dental, and vision coverage
• Mental health and well-being support
• Open, flexible vacation policy
• Paid parental leave of at least 16 weeks for birth and 10 weeks for a new parent
• Quarterly budget for books and online courses for self-development
• Support to attend professional conferences
• 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

About the company

insitro is a drug discovery and development company using machine learning and data at scale to decode biology for transformative medicines. The company is advancing a pipeline of insights and therapeutics in neuroscience and metabolism.