Cambridge, Massachusetts, United States of America
Base: $117,000 to $201,250; bonus/equity: annual p...
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Data engineering with python, r, sql
Cloud architecture using aws services
Oncology r&d data management
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Johnson & Johnson is seeking a Principal Data Scientist for their R&D Oncology team, responsible for designing and implementing data engineering solutions focused on Oncology research and development. The ideal candidate will have experience in data engineering within the healthcare sector and be proficient in various data processing tools and cloud technologies.
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Job Summary
Johnson & Johnson Innovative Medicine is recruiting for a Principal Data Scientist, R&D Oncology to join our Data Science and Digital Health team.
This role will focus on applications in Oncology R&D and support data projects from Clinical, Pre-Clinical, RWD and ‘omics platforms while developing AI-ready data applications.
Employees may be eligible for competitive compensation, annual performance bonuses, and a comprehensive benefits package including medical, dental, vision, retirement plans, and paid time off.
Matching Summary
Match Score: 75
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Johnson & Johnson is seeking a Principal Data Scientist for their R&D Oncology team, responsible for designing and implementing data engineering solutions focused on Oncology research and development. The ideal candidate will have experience in data engineering within the healthcare sector and be proficient in various data processing tools and cloud technologies.
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Salary
Base: $117,000 to $201,250; Bonus/Equity: Annual performance bonus discretionary; Benefits: Medical, dental, vision, retirement plans, paid time off
Skills & Requirements
Must-have
Data engineering with Python, R, SQL
Cloud architecture using AWS services
Oncology R&D data management
Data modeling and database design
AI-ready data systems development
Data versioning and lineage tracking
Nice-to-have
Healthcare data standards knowledge
Experience with high dimensional data
Familiarity with MLOps and model deployment
Stakeholder management and planning
Organizational change and project delivery
Collaboration with multi-disciplinary teams
Key Requirements
Advanced degree in Computer Science, Engineering, or Life Sciences preferred
3+ years experience in data engineering preferably in healthcare
Proficiency with Python, R, SQL and AWS cloud services
Experience with unstructured and graph databases
Ability to manage multiple projects and stakeholder requirements