Senior Manager, Oncology Data and AI Systems

At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are our expertise in Innovative Medicine and MedTech we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow and profoundly impact health for more at .

As guided by Our Credo Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science

Job Category:

People Leader

All Job Posting Locations:

Cambridge Massachusetts United States of America Raritan New Jersey United States of America San Diego California United States of America Spring House Pennsylvania United States of America Titusville New Jersey United States of America

Job Description:

Our expertise in Innovative Medicine is informed and inspired by patients whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments finding cures and pioneering the path from lab to life while championing patients every step of the way.

Learn more at & Johnson Innovative Medicine is recruiting for a Senior Manager Oncology Data and AI Systemsto join our Data Data Science and Artificial Intelligence team (DDSAI). This position will be located on site at one of our offices in either Spring House PA Cambridge MA Titusville NJ Raritan NJ or San Diego CA (no fully remote option available).

TheSenior Manager Oncology Data and AI Systems will focus on building data and AI systems in Oncology R&D and support projects from across the business including Clinical Pre-Clinical Real World Data (RWD) and omics platforms.

Key Responsibilities:

• Serve as both a people leader and a hands-on contributor accountable for the end-to-end design development and operation of scalable AI-enabled data products supporting Oncology R&D.
• Drive integration of diverse data sources (e.g. biomarker labs real-world data pre-clinical and translational systems) into high-quality reusable AI-ready assets.
• Partner closely with Oncology R&D and Data Science stakeholders to shape prioritize and deliver against business-critical use cases. Translate complex scientific and operational needs into robust data products and AI systems that accelerate decision-making improve study execution and enhance probability of success.
• Collaborate with domain experts such as Ontology Knowledge graph and Data Product Engineers to design and deliver future-proof AI-ready data systems aligned with Oncology Strategy. Ensure solutions enable discoverability reuse and advanced analytics/GenAI applications.
• Implement standard enterprise-level data models and create new data models as needed.
• Leverage cloud-based technology platforms to accomplish data and AI goals.
• Lead the design and optimization of data pipelines and AI workflows for structured and unstructured data using technologies such as Python SQL AWS services and other relevant and on-board new team members.
• Implement quality and performance standards and measure Key Performance Indicators (KPIs) to determine accuracy and consistency.
• Lead team in the development of Agile practices and agentic AI coding tools.
• Act as a thought leader across Data Science Engineering and Oncology domains ensuring alignment with broader data product strategy and avoiding duplication through reuse and standardization.

Required Qualifications:

• Advanced degree (Masters or equivalent) in Computer Science Engineering Life Sciences or other relevant field is strongly preferred. (Bachelors Degree with experience equivalency may be considered).
• 6 years of experience in data engineering including data modeling and database design preferably in the healthcare industry.
• Proficiency in agentic AI coding tools e.g. Claude Code Codex etc.
• Proficiency in data engineering tools such as Python and SQL for data processing as well as cloud architecture (e.g. AWS services Redshift FSx Glue Lambda.)
• Experience with unstructured database technologies (e.g. NoSQL) as well as other database types (e.g. Graph).
• Strong skills in analysis problem-solving organizational change project delivery and managing external vendors. Proven record leading improvement initiatives with multi-disciplinary and remote partners. Demonstrated stakeholder management capabilities- including requirements gathering business analysis and planning. Must have the capacity to translate discussions into user requirements and project plans.
• Ability to manage numerous projects simultaneously prioritize work exhibit organizational skills and flexibility to deliver maximum business value.
• Willingness to conduct periodic travel (<15% of time) to conferences and internal meetings.

Preferred Qualifications:

• Experience building Model Context Protocol (MCP) servers.
• Exposure to high dimensional data technologies and handling including genomics and imaging.
• Familiarity with machine learning operations (MLOps) and model deployment.
• Experience with healthcare data standards (e.g. CDISC HL7 FHIR SNOMED CT OMOP DICOM).

This position will be located on site at one of our campuses in either Spring House PA Cambridge MA Titusville NJ Raritan NJ or San Diego CA (no fully remote option available). Occasional travel for crossfunctional workshops design sessions and team meetings may be required.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity age national origin disability protected veteran status or other characteristics protected by federal state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants needs. If you are an individual with a disability and would like to request an accommodation external applicants please contact us via internal employees contact AskGS to be directed to your accommodation resource.
The anticipated base pay range for this position is $137000 to $235750. The Company maintains highly competitive performance-based compensation programs. Under current guidelines this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporations performance over a calendar/performance year. Bonuses are awarded at the Companys discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical dental vision life insurance short- and long-term disability business accident insurance and group legal insurance. Employees may be eligible to participate in the Companys consolidated retirement plan (pension) and savings plan (401(k)).

Employees are eligible for the following time off benefits:
Vacation up to 120 hours per calendar year
Sick time - up to 40 hours per calendar year
Holiday pay including Floating Holidays up to 13 days per calendar year of Work Personal and Family Time - up to 40 hours per calendar year
Additional information can be found through the link below. compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market.

#LI-SL
#JNJDataScience
#JRDDS
#JNJIMRND-DS
#LI-Hyrbid

Required Skills:

Preferred Skills:

Advanced Analytics Budget Management Compliance Management Critical Thinking Cross-Functional Collaboration Data Analysis Data Privacy Standards Data Quality Data Reporting Data Savvy Data Science Data Visualization Developing Others Digital Fluency Inclusive Leadership Leadership Strategic Thinking Team Management