Data Scientist, Clinical Outcomes
Core
Build quantitative foundations for clinical care delivery, patient treatment plan refinement, and retention engines by transforming multi-modal patient data into actionable decision support.
Role type
Senior IC data scientist (clinical outcomes & NLP)
Builds
Clinical decision support systems, personalized care pathways, and patient retention engines
Domain
Digital health / Clinical operations
Deliverable
production ML models
Required skills
Python, SQL, NLP, LLM workflows, clustering, survival analysis, causal inference, healthcare data parsing
Preferred skills
Experience with telehealth datasets, building foundational data architecture, translating technical insights to clinical teams
Technologies
scikit-learn, statsmodels, lifelines, transformers, Claude API
Responsibilities
Clean and transform multi-modal clinical data (labs, surveys, transcripts); Build NLP/LLM pipelines to extract patient intent and preferences; Develop lookalike clustering models for patient segmentation; Build predictive models for symptom reduction and side-effect risks; Apply causal inference methods to evaluate care protocols; Partner with clinical research for evidence generation
Seniority
Mid-level, hands-on IC
