Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: Scientific/Technology 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.
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Johnson & Johnson Innovative Medicine is recruiting for aPrincipal Data Product Scientist, DDSAI Immunology to join our Immunology R&D Data, Data Science & Artificial Intelligence (DDSAI) team and to enable and scale highvalue data assets across Immunology Research & Development. 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).
The Principal Data Product Scientist will operate at the intersection of Immunology scientific teams, data scientists, data engineering/platform teams, and external data partners. The focus is on translating business and scientific needs to enable effective execution of analytics, modeling, and AIenabled research. The role emphasizes data needs management, gap identification, data governance, and crossfunctional execution, with responsibility for ensuring progress against known gaps while surfacing new and emerging data opportunities. Key Responsibilities:
Data Needs Management & Opportunity Identification

• Partner with Immunology leadership and analytics teams to translate data gaps into clearly defined data opportunities and business needs, in coordination with the Data Strategy and Products team
• Support strategic prioritization by assessing impact, feasibility, readiness, and dependencies associated with new data initiatives.

Data Product Ownership & Curation

• Act as a data product owner for priority Immunology datasets, defining scope, quality expectations, documentation requirements, refresh cycles, and success metrics.
• Work with Immunology scientists and data scientists to translate scientific questions into concrete data requirements, ensuring datasets are fitforpurpose and reusable.
• Ensure datasets are wellcurated, discoverable, traceable, and compliant with internal standards for analytics, modeling, and AI/ML applications.

Interface with Data Engineering & Platforms

• Possess working knowledge of the endtoend data engineering lifecycle, including Data Transfer Agreements (DTA), data access provisioning, data pipelines, harmonization and standardization, anonymization and privacy controls.
• Interface between Immunology R&D stakeholders and data engineering/platform teams, enabling clear communication of requirements, constraints, and dependencies.
• Align data needs with platform capabilities, ensuring that Immunology datasets are integrated, governed, and scalable within enterprise data environments.

Data Sourcing, Partnerships & Alliances

• Coordinate data procurement activities across internal sources and external partners (e.g., RWD vendors, academic collaborators, technology partners).
• Collaborate with Legal, Procurement, Privacy, and Compliance to support data use documentation, contracting, licensing, and governance controls.
• Act as a key operational point of contact for external data partners, managing delivery expectations, refresh schedules, and issue resolution.

CrossFunctional Enablement & Governance

• Ensure shared understanding and execution between data scientists, immunologists, engineers, legal, and platform teams. Establish and maintain metadata, data use documentation, lineage, and versioning to support compliance, transparency, and reuse.
• Define and monitor operational KPIs related to data timeliness, quality, completeness, and adoption.
• Support adoption by ensuring ease of access, documentation, and usability
  

Required Qualifications

• Bachelors degree (required) in Data Science, Bioinformatics, Computer Engineering, Computer Science, Mathematics, or Statistics.
  Advanced degree preferred.
• 5+ years of experience in data operations, data product management, data curation, analytics enablement, or similar roles.
• Prior experience in or closely collaborating with:
  • Technologyenabled life sciences or research platforms (e.g., digital health, research technology divisions).
• Demonstrated ability to:
  • Track and manage evolving data demand across multiple stakeholders
  • Interface effectively with data engineering and platform teams
  • Navigate data governance, documentation, and compliance processes
• Strong organizational and communication skills, with the ability to drive through complex, matrixed teams.

Preferred Qualifications

• Experience supporting Immunology, oncology, or broader life sciences R&D initiatives.
• Familiarity with healthcare and life sciences data standards (e.g., OMOP, FHIR, CDISC) and multimodal data sources.
• Prior experience with RealWorld Data (RWD) organizations.
• Experience acting in a liaison or productstyle role rather than a handson coding role.
• Comfort with operating at the intersection of science, data, engineering, legal, and vendor partnerships.
• Understanding of metadata, ontologies, and semantic layers
• Familiarity with FAIR data principles and reusable data design

Additional Information

• 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 remote option available). Occasional travel for crossfunctional workshops, design sessions, and team meetings may be required.
  

The anticipated base pay range for this position is $117,000  $201,250. 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.
The 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
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#LI-Hyrbid Required Skills: Preferred Skills: Advanced Analytics, Coaching, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Organizing, Process Improvements, Strategic Thinking, Technical Credibility, Workflow Analysis