Data Scientist II
Core
Design, develop, and deploy advanced data science and AI solutions leveraging machine learning and large language models (LLMs) to generate actionable insights and support data-driven decision-making in healthcare.
Role type
Senior IC data scientist (LLM & predictive modeling)
Builds
Predictive models, LLM-powered applications (AI assistants, RAG pipelines), semantic layers, and scalable AI/ML services.
Domain
Life sciences / Biopharma / Healthcare
Deliverable
production ML models | product features
Required skills
Machine learning, predictive modeling, Python, modern data platforms (Databricks, Spark, MLflow), LLM-based application development, RAG pipelines, embedding pipelines, vector databases, agentic AI frameworks, LLMOps, FastAPI, SQL, distributed data processing.
Preferred skills
Healthcare domain expertise, clinical data experience, real-world evidence sources, pharma ecosystem knowledge.
Technologies
Python, Databricks, Spark, MLflow, Delta Lake, FAISS, Pinecone, Weaviate, OpenSearch Vector, pgvector, LangGraph, Claude SDK, FastAPI
Responsibilities
Collaborate with business to design and deploy AI solutions; work with large-scale structured and unstructured healthcare datasets; build predictive models and analytics solutions; develop LLM-powered applications and semantic layers; implement evaluation frameworks for AI systems; partner with data engineering for scalable pipelines; communicate analytical findings to stakeholders.
Seniority
Mid-Senior, hands-on IC