Associate Data Scientist - Value and Access Strategy
Core
Build next-generation AI-powered platforms (copilots, intelligent contract systems, anomaly detection engines) to transform commercial, contracting, and patient access strategies for the US Value & Access organization.
Role type
Associate Data Scientist (AI/ML & GenAI)
Builds
Production-grade AI systems, scalable intelligent solutions, and real-time decision platforms
Domain
Biotechnology / Pharmaceutical commercial strategy
Deliverable
production ML models
Required skills
Python, PySpark, SQL, Machine Learning (Regression, Classification, Clustering), NLP fundamentals, LLMs and GenAI workflows, Data manipulation (Pandas, NumPy), REST APIs, MLOps basics
Preferred skills
RAG pipelines and vector databases, LangChain/LlamaIndex/agent frameworks, MLOps tools (Docker, CI/CD, MLflow), Time-series forecasting, Cloud platforms (AWS, Azure, GCP), Databricks
Technologies
Python, PySpark, SQL, Pandas, NumPy, OpenAI, HuggingFace, Anthropic, FAISS, Pinecone, Chroma, Weaviate, LangChain, LlamaIndex, AutoGen, CrewAI, Docker, MLflow, Kubeflow, Airflow, Streamlit, React, AWS, Azure, GCP, Databricks
Responsibilities
Build LLM-powered assistants with prompt engineering and RAG pipelines; Extract and query insights from unstructured documents and contracts; Develop data ingestion, transformation, and feature engineering pipelines; Build APIs, dashboards, and backend services for AI-driven insights; Develop anomaly detection and forecasting models for commercial decisions; Collaborate on translating business needs into technical specifications; Participate in code reviews and MLOps best practices
Seniority
Associate (2–6 years experience)