Spring House, Pennsylvania, United States of America
Base: $117,000 to $201,250; bonus/equity: eligible...
Hybrid
Data pipelines for oncology r&d
Python, r, and sql for data processing
Cloud-based technology platform (aws)
Johnson & Johnson is seeking a Manager of Data Science specializing in Oncology to lead and develop data systems for Oncology R&D. The role involves both leadership and hands-on contributions to data engineering, requiring expertise in data modeling and cloud technologies
Job Summary
Support how we advance data capture, build and optimize data workflows and store data by designing and implementing engineering requirements, focusing on applications in Oncology R&D.
Serve as both a people leader and a hands-on contributor for designing, developing and maintaining data pipelines for acquiring, managing and storing Oncology R&D data from diverse sources.
Leverage cloud-based technology platforms and implement quality and performance standards to ensure accuracy and consistency of data products.
Matching Summary
Match Score: 85
Johnson & Johnson is seeking a Manager of Data Science specializing in Oncology to lead and develop data systems for Oncology R&D. The role involves both leadership and hands-on contributions to data engineering, requiring expertise in data modeling and cloud technologies.
Salary
Base: $117,000 to $201,250; Bonus/Equity: eligible for annual performance bonus; Benefits: medical, dental, vision, life insurance, disability, retirement plan, savings plan, time off benefits
Skills & Requirements
Must-have
Data pipelines for Oncology R&D
Python, R, and SQL for data processing
Cloud-based technology platform (AWS)
Data versioning and lineage tracking
Software development best practices
AI-ready data systems
Nice-to-have
Stakeholder management and requirements gathering
Leading improvement initiatives
Inclusive leadership and developing others
Proactive behavior and flexibility
Key Requirements
5+ years of experience in data engineering
2+ years experience managing a technical team
Advanced degree (Master’s or equivalent) preferred
Experience with unstructured database technologies (NoSQL)