Senior Data Engineer Lead for Clinical Ops & GenAI

Bristol-Myers Squibb Company; Princeton (NJ); On-site; USD 154,000 - 186,000; Full time

Job summary

Bristol Myers Squibb seeks a Senior Manager, Data Engineer to advance data ecosystems for Clinical Operations, leveraging GenAI, Databricks, and semantic technologies. You will drive data product lifecycles, governance, and scalable pipelines across global trials, partnering with BI&T and clinical teams.

The role emphasizes end-to-end platform delivery, self-service analytics, and mentorship while operating in a dynamic, regulated biopharma environment.

Qualifications

• 7+ years of cross-domain experience in Data Engineering, Analytics, and AI/ML in a cloud environment.
• Hands-on experience with Databricks, Delta Lake, Unity Catalog, Databricks Workflows, Mosaic AI, and MLflow.

Responsibilities

• Support and contribute to cross-functional AI and Data initiatives across Clinical Trial Operations product lines.
• Develop and enhance data solutions to accelerate data usage across clinical R&D, ensuring robustness and scalability.
• Collaborate with BI&T partners, clinical study teams, trial managers, and data product teams to adopt the Data Platform.

Skills

Databricks

Python

SQL

Spark/PySpark

GenAI/LLM

RAG

Vector embeddings

Data governance

Cloud computing

Data modeling

Stakeholder communication

Mentorship

Tools

Databricks Unity Catalog

Delta Lake

Databricks Workflows

MLflow

RAG tooling

Vector databases

Veeva Vault

Medidata Rave

IRT

Job description

Bristol Myers Squibb seeks a Senior Manager, Data Engineer to advance data ecosystems for Clinical Operations, leveraging GenAI, Databricks, and semantic technologies. You will drive data product lifecycles, governance, and scalable pipelines across global trials, partnering with BI&T and clinical teams.

The role emphasizes end-to-end platform delivery, self-service analytics, and mentorship while operating in a dynamic, regulated biopharma environment.