Lead/ Senior Machine Learning Scientist, Integrative Phenotyping

The role

You will develop, productionize, and deploy machine learning approaches to build precise phenotypes from large-scale multimodal datasets. You will use these to understand patient state, predict clinical endpoints, and identify therapeutic targets.

What you will do

• Develop and deploy ML methods to extract biological insight from complex human cohort data
• Develop models that characterize patient state and predict outcomes from multimodal data
• Ensure modeling strategies are rigorous and aligned with best practices
• Build robust, reusable platform components in partnership with software engineering
• Combine causal, multimodal analyses to select therapeutic targets
• Partner with colleagues to develop new biomarkers and clinical endpoints
• Work with the Statistical Genetics team to associate human genetics with ML-derived phenotypes

Required qualifications

• PhD in computer science, machine learning, or a related field, or 5+ years of equivalent applied ML research experience
• Hands-on experience developing and deploying state-of-the-art ML methods, including multimodal techniques
• Experience with clinical imaging (e.g., MRI, DEXA, CT, echocardiography), clinical records (e.g., EHRs, medications, outcomes), physiological recordings (e.g., EEG, ECG), or biobank-scale human geneti
• Experience with high-content modalities such as single-cell or bulk omics, genetic perturbation screening, spatial proteomics, or pooled optical screening
• Meaningful, high-quality contributions in ML, ML for health, computational biology, or biomedical venues
• Strong Python in a cloud environment and modern deep learning frameworks
• Track record of reusable, tested, version-controlled ML code

Nice to have

• prior exposure to cardiovascular disease, neuroscience, or metabolism

Benefits

• 401(k) plan with employer matching
• 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 parents and 10 weeks for new parents
• Quarterly budget for books and online courses
• New hire stipend for home office setup
• Monthly cell phone & internet stipend
• Access to free onsite baristas and daily lunch for onsite or hybrid employees
• 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 uses a Virtual Human platform and a TherML platform to identify genetic intervention points and translate them into therapeutics.