Data Engineer, Clinical Operations
Core
Build scalable, production-grade data pipelines and GenAI-powered applications for Cross Study Operations and Specimen Management in Global Drug Development.
Role type
Senior IC Data Engineer (Clinical Operations & GenAI)
Builds
Scalable ETL/ELT pipelines, data models, and GenAI/LLM applications for clinical R&D and biospecimen workflows.
Domain
Life Sciences / Clinical Trial Operations / Biospecimen Management
Deliverable
production ML models
Required skills
Python, SQL, PySpark, Databricks (Delta Lake, Unity Catalog, Mosaic AI, MLflow), GenAI frameworks, RAG, LLM architectures, cloud-native DevOps, semantic modeling
Preferred skills
Databricks certification, Life Sciences R&D domain knowledge, agentic frameworks, vector embeddings
Technologies
Databricks, Delta Lake, Unity Catalog, Mosaic AI, MLflow, Python, SQL, Spark, GenAI, LLMs
Responsibilities
Design and maintain scalable data pipelines for cross-trial data aggregation and specimen tracking; develop and operationalize cloud-based GenAI and LLM applications using RAG and fine-tuning; enforce data governance and manage metadata using Unity Catalog; mentor junior analysts and vendors on technical best practices; optimize platform performance and cost-effectiveness using cloud-native parallel processing.
Seniority
Junior to Mid-level, hands-on IC
