Spring House, Pennsylvania, United States of America
$117,000 to $201,250; bonus eligible; comprehensiv...
Hybrid
Data pipelines for oncology r&d
Python, r, sql for data processing
Aws services (s3, redshift, glue, lambda)
Johnson & Johnson is seeking a Principal Data Scientist for R&D Oncology to advance data capture and optimize workflows in the field of oncology research. The ideal candidate will have experience in data engineering, proficiency in relevant programming languages, and a strong background in healthcare data management
Job Summary
Support data projects across Clinical, Pre-Clinical, RWD and ‘omics platforms in Oncology R&D.
Design and implement engineering requirements to advance data capture, build and optimize data workflows, and store data.
Leverage cloud-based technology platforms and implement software development best practices for AI-ready data systems.
Matching Summary
Match Score: 85
Johnson & Johnson is seeking a Principal Data Scientist for R&D Oncology to advance data capture and optimize workflows in the field of oncology research. The ideal candidate will have experience in data engineering, proficiency in relevant programming languages, and a strong background in healthcare data management.
Salary
$117,000 to $201,250; Bonus eligible; Comprehensive benefits package
Skills & Requirements
Must-have
Data pipelines for Oncology R&D
Python, R, SQL for data processing
AWS services (S3, Redshift, Glue, Lambda)
Unstructured and Graph database experience
Software development best practices
Data versioning and lineage tracking
Nice-to-have
Healthcare data standards experience
High dimensional data handling
Machine learning operations (MLOps)
Key Requirements
3+ years of data engineering experience
Advanced degree (Master's or equivalent) preferred
Experience with cloud architecture (AWS)
Experience with unstructured database technologies (NoSQL)