Principal Data Scientist, R&D Oncology
Johnson & Johnson
At a glance
AI generatedThe Manager, Data Science - Oncology at Johnson & Johnson's Innovative Medicine division will lead and contribute to the design and implementation of data pipelines for acquiring, managing, and storing oncology R&D data from diverse sources. This role involves working closely with data science and oncology R&D partners to translate business requirements into high-quality data products while developing AI-ready data systems using cloud-based technologies like AWS S3. The manager will also create and optimize data flows for structured and unstructured data, implement quality standards, and manage documentation for data architectures. Required skills include an advanced degree in a relevant field, 5+ years of data engineering experience, proficiency in Python, R, SQL, and AWS services, and the ability to lead technical teams. Experience with healthcare data standards such as CDISC and HL7 is preferred.
Skills
What you'll do
What we're looking for
Market check
This $117,000–$201,250 range sits above 26% of similar postings on FindRole.
Peer median band
$117,000–$225,000
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$149,077–$211,200
Middle half of comparable postings.
Based on 239 comparable postings.
* 240 is the maximum number of comparable postings sampled.
Employer
Johnson & Johnson is a multinational corporation operating in three main segments: consumer health products, pharmaceuticals, and medical devices, known for brands like Tylenol, Band-Aid, and Janssen. Industry: Pharmaceuticals & Medical Devices
Johnson & Johnson currently has 46 open roles on FindRole.
Listed pay typically runs $122,000–$211,025 across 45 roles with salary data.
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