GenAI-Powered Data Engineer, Clinical Ops

Socket.dev; Princeton (NJ); On-site; USD 87,810 - 106,399; Full time

Benefits offered by this job

Health Coverage

Wellbeing Programs

401(k) plan

Paid Time Off

Job summary

Bristol Myers Squibb is hiring a Data Engineer to join the Global Drug Development IT group, focusing on Cross Study Operations and Specimen Management. You will design and operate data platforms, pipelines, and governance to support cross-study and biospecimen workflows with GenAI capabilities.

Prospective candidates should bring strong Databricks, Delta Lake, Python, SQL, and Spark experience, plus a passion for scalable, compliant data solutions in life sciences.

Qualifications

• 5+ years in Data Engineering, Analytics, AI/ML
• Hands-on with cloud data platforms and Databricks
• Strong Python, SQL, Spark (PySpark)
• Experience delivering production-grade GenAI apps and self-service analytics
• Familiarity with GenAI, RAG, and vector embeddings

Responsibilities

• Design, build, and maintain scalable data pipelines and platform components
• Collaborate with BI&IT partners and domain experts to support data platforms
• Develop data solutions to accelerate data usage across cross-study programs
• Optimize data platforms for performance, scalability, and cost-effectiveness
• Build GenAI-powered applications and NLP features for data discovery and consumption

Skills

Databricks

Python

SQL

Spark

GenAI

LLM

Data modeling

Cloud platforms

Data governance

Tools

Databricks Unity Catalog

Delta Lake

MLflow

Job description

Bristol Myers Squibb is hiring a Data Engineer to join the Global Drug Development IT group, focusing on Cross Study Operations and Specimen Management. You will design and operate data platforms, pipelines, and governance to support cross-study and biospecimen workflows with GenAI capabilities.

Prospective candidates should bring strong Databricks, Delta Lake, Python, SQL, and Spark experience, plus a passion for scalable, compliant data solutions in life sciences.