Senior Manager, Data Engineer, Clinical Operations
Core
Building and optimizing cloud-native data platforms and GenAI applications to support clinical trial operations, feasibility, and forecasting.
Role type
Senior Manager, Data Engineer (Clinical Operations)
Builds
Data ecosystems, GenAI/LLM-powered applications, and self-service data discovery solutions for clinical R&D.
Domain
Life Sciences / Clinical Trial Operations
Deliverable
production ML models | product features | infrastructure
Required skills
Databricks (Delta Lake, Unity Catalog, Workflows, Mosaic AI, MLflow), Python, SQL, Spark/PySpark, GenAI frameworks, LLM architectures, RAG, prompt engineering, agentic frameworks, cloud-native data platforms, ETL/ELT pipeline design, data modeling, DevOps, clinical trial management systems (Veeva Vault, Medidata Rave, IRT)
Preferred skills
Domain knowledge in Clinical Trial Delivery (feasibility, site selection, forecasting), Databricks certification, life sciences R&D experience
Technologies
Databricks, Delta Lake, Unity Catalog, Mosaic AI, MLflow, Python, SQL, Spark, PySpark, RAG, vector embeddings
Responsibilities
Develop and enhance data solutions to accelerate data usage across clinical R&D; optimize data platform for performance, scalability, and cost-effectiveness; enforce data governance and manage metadata using Unity Catalog; build and deploy GenAI-powered applications for trial operations; provide guidance and mentorship to junior analysts and vendors; maintain documentation and deliver technical recommendations.
Seniority
Senior Manager, hands-on IC with mentorship responsibilities
