Senior Machine Learning Scientist, Imaging

insitro•South San Francisco, CA

3d•$215,000 - $235,000•Hybrid

About The Position

Imaging based phenotyping of in-vitro biology is at the heart of insitro's efforts to accelerate drug development. At insitro, we use machine learning to derive clinically relevant insights from rich datasets generated in-house. As an Imaging ML Scientist, you will develop ML-empowered computer vision pipelines to extract insights about disease mechanisms from multiple microscopy modalities. You will be part of a cross-functional team of life scientists, software engineers, computational biologists, and machine learning scientists that strive to identify therapeutic targets and develop drugs of high efficacy and low toxicity. You will be joining a vibrant biotech startup that is in a high growth phase, with promising multiple pre-clinical drug targets in areas such as ALS and metabolic disease. A lot can change in this exciting phase, providing many opportunities for significant impact. You will work closely with a very talented team, learn a broad range of skills, and help shape insitro's culture, strategic direction, and outcomes. This role will be reporting to the Director of Imaging, Cellular Machine Learning. 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!

Requirements

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

Nice To Haves

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

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

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