GenAI-Driven Data Engineer, Clinical Operations

Bristol-Myers Squibb Company; Princeton (NJ); On-site; USD 66,000 - 79,000; Full time

Benefits offered by this job

Wellbeing support

Flexible time off

Paid holidays

Job summary

Bristol Myers Squibb Company is seeking a Data Engineer to support the Global Drug Development IT team in the Cross Study Operations and Specimen Management domain. You will build scalable data pipelines, governance, and GenAI-enabled solutions across complex biobanking workflows while collaborating with analysts and domain experts.

The role emphasizes Databricks, Delta Lake, Unity Catalog, and cloud-native data platforms, with a hands-on focus and opportunity to mentor junior staff.

Qualifications

• 0–2 years of hands-on experience in Data Engineering, Analytics, and AI/ML in a cloud environment.
• Strong experience with Databricks, Delta Lake, Unity Catalog, Databricks Workflows, Mosaic AI, and MLflow.

Responsibilities

• Collaborate with BI&T partners and cross-study teams to adopt the Data Platform.
• Design, build, and maintain scalable data pipelines and platform components for Cross Study Operations and Specimen Management.
• Develop GenAI-powered data discovery and NLP-driven applications for cross-study workflows.

Skills

Databricks Delta Lake

Unity Catalog

Python

SQL

Spark

GenAI

Tools

Databricks

Delta Lake

MLflow

Mosaic AI

Job description

Bristol Myers Squibb Company is seeking a Data Engineer to support the Global Drug Development IT team in the Cross Study Operations and Specimen Management domain. You will build scalable data pipelines, governance, and GenAI-enabled solutions across complex biobanking workflows while collaborating with analysts and domain experts.

The role emphasizes Databricks, Delta Lake, Unity Catalog, and cloud-native data platforms, with a hands-on focus and opportunity to mentor junior staff.