Lead/ Senior Machine Learning Scientist, Integrative Phenotyping
Core
Develop and deploy ML approaches to build precise phenotypes from large-scale multimodal datasets (clinical imaging, EHRs, multi-omics) to understand patient state, predict clinical endpoints, and identify therapeutic targets.
Role type
Senior IC machine learning scientist (integrative phenotyping)
Builds
Production ML models for patient state characterization and target discovery
Domain
Biopharma / Computational Biology / Clinical Data Science
Deliverable
production ML models
Required skills
Multimodal ML, Clinical imaging analysis, EHR processing, Multi-omics integration, Causal inference, Python, Deep learning frameworks, Cloud engineering
Preferred skills
Cardiovascular disease, Neuroscience, Metabolism domain knowledge
Technologies
Python, Deep learning frameworks, Cloud environments
Responsibilities
Develop ML methods to extract biological insight from high-dimensional human cohort data; Build models to characterize patient state and predict clinical endpoints; Engineer reusable platform components; Integrate causal evidence across phenotypic readouts to select therapeutic targets; Partner with clinical teams to develop biomarkers; Associate human genetics with ML-derived phenotypes.
Seniority
Senior, hands-on IC
