Senior Data Scientist
Core
Design, build, validate, and deploy machine learning models and AI-powered applications (including LLMs and RAG pipelines) to help healthcare organizations improve patient outcomes, optimize operations, and accelerate research.
Role type
Senior IC data scientist (applied ML & Generative AI)
Builds
Production ML models, AI-powered clinical and operational applications, and advanced analytics solutions
Domain
Healthcare and Life Sciences
Deliverable
production ML models | product features
Required skills
Python (pandas, NumPy, scikit-learn), SQL, machine learning lifecycle management, MLOps (CI/CD, experiment tracking), LLM APIs, prompt engineering, RAG pipelines, cloud data/ML platforms (AWS, Azure, GCP, Databricks, Snowflake)
Preferred skills
Healthcare domain knowledge (EHR, claims, HL7/FHIR), population health analytics, research enablement workflows, vector databases, embeddings, LLM fine-tuning, BI tools (Tableau, Power BI, Looker)
Technologies
Python, SQL, MLflow, AWS SageMaker/Redshift/S3, Azure ML/Synapse, GCP Vertex AI/BigQuery, Databricks, Snowflake, LLM APIs
Responsibilities
Design and deploy ML models across the full lifecycle; develop analytics for clinical prediction and operational optimization; build LLM-powered applications; work with diverse healthcare data sources; translate findings into actionable insights; manage documentation of best practices; mentor client counterparts
Seniority
Senior, hands-on IC