Data Engineer, Clinical Operations
Core
Build scalable data pipelines, GenAI applications, and data platforms for cross-study operations and specimen management in drug development.
Role type
Senior IC Data Engineer (Clinical Operations & GenAI)
Builds
Production-grade data pipelines, GenAI/LLM applications, and data governance solutions for clinical R&D.
Domain
Life Sciences / Clinical Operations / Drug Development
Deliverable
production ML models
Required skills
Python, SQL, PySpark, Databricks (Delta Lake, Unity Catalog, Mosaic AI, MLflow), GenAI/LLM development, RAG, vector embeddings, cloud-native data platforms, ETL/ELT design, semantic modeling, DevOps.
Preferred skills
Databricks certification, experience with agentic frameworks, fine-tuning LLMs.
Technologies
Databricks, Delta Lake, Unity Catalog, Mosaic AI, MLflow, Python, Spark, GenAI frameworks.
Responsibilities
Design and maintain scalable ETL/ELT pipelines and data models for cross-study and specimen datasets; develop and operationalize cloud-based GenAI and LLM-powered applications using RAG and fine-tuning; enforce data governance and manage metadata using Unity Catalog; build self-service data discovery solutions; mentor junior analysts and vendors on technical best practices.
Seniority
Junior to Mid-level, hands-on IC
