Manager, R&D Data, Data Science & Artificial Intelligence – Immunology Real World Evidence
About The Position
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through 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 humanity. Learn more at jnj.com. 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, 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 https://www.jnj.com/innovative-medicine Johnson & Johnson Innovative Medicine is currently seeking an Manager, R&D Data, Data Science & Artificial Intelligence – Immunology Real World Evidence to join our Data, Data Science and Artificial Intelligence team (DDSAI) and work at one of our sites in either Spring House, PA, Cambridge, MA, Titusville, NJ, or Raritan, NJ (no fully remote option available). The Manager, R&D Data, Data Science & AI (DDSAI), Immunology Real‑World Evidence (RWE), is an individual contributor responsible for supporting data science and real‑world evidence activities for Immunology research and development programs. The role applies established real‑world methodologies to generate insights that inform clinical development and internal scientific decision‑making. Working under guidance within a defined scope, the Manager partners with cross‑functional teams to translate disease and therapeutic area priorities into actionable research questions while aligning with established functional strategies, standards, and governance frameworks.
Requirements
- PhD, PharmD, MD, or equivalent advanced degree in statistics, bioinformatics, epidemiology, computational biology, data science, or related quantitative discipline. (Candidates with a Master’s degree and relevant experience may be considered.)
- Relevant experience applying or supporting data science or real‑world evidence methods within pharmaceutical R&D, healthcare analytics, consulting, or a related professional field.
- Ability to work effectively within matrixed, cross‑functional teams.
- Familiarity with real‑world data sources such as electronic health records, administrative claims, registries, or secondary data.
- Strong analytical, problem‑solving, communication, and collaboration skills.
Nice To Haves
- Exposure to Immunology or related therapeutic area programs.
- Experience contributing to research projects using statistical methods, predictive modeling, or machine learning.
- Experience supporting scientific publications, abstracts, or regulatory‑supporting analyses.
Responsibilities
- Support the execution of real‑world and digital health evidence plans aligned with Immunology disease and therapeutic area objectives.
- Contribute to defined evidence generation workstreams supporting clinical development programs, including evidence gap assessment, patient characterization, subgroup identification, endpoint exploration, asset differentiation, and comparative effectiveness analyses.
- Apply established data science and statistical methods to real‑world data sources to address prioritized scientific and development questions.
- Collaborate with Disease Area Strongholds, Compound Development Teams, and cross‑functional partners to help ensure deliverables meet program evidence needs and timelines.
- Support project activities, including data fit‑for‑purpose assessment, protocol development, results documentation and interpretation, and stakeholder communication throughout the project life cycle.
- Provide methodological input within cross‑functional teams and escalate complex technical questions to senior colleagues as appropriate.
- Prepare analytical summaries, presentations, and written materials for review by internal stakeholders and governance forums.
- Contribute to scientific manuscripts, abstracts, and internal knowledge‑sharing activities based on clinical trial and real‑world analyses.
- Support external scientific collaborations by contributing to real‑world evidence deliverables under guidance from senior team members.
- Participate in cross‑functional initiatives that enhance data science, digital health, and real‑world evidence capabilities across the organization.
- This description reflects the primary responsibilities of the role; additional duties may be assigned as business needs evolve.
Benefits
- medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance.
- consolidated retirement plan (pension) and savings plan (401(k)).
- 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
- Work, Personal and Family Time - up to 40 hours per calendar year
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What This Job Offers
Job Type
Full-time
Career Level
Manager
