Senior Manager, Data, Data Science & Artificial Intelligence– Immunology Real World Evidence
About The Position
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 recruiting for a Senior Manager, Data, Data Science & Artificial Intelligence– Immunology Real World Evidence. This position will be located in either Raritan, NJ; Spring House, PA; Titusville, NJ; or Cambridge, MA, and may require up to approximately 10% travel. (Remote work arrangements in the US may be considered on a case by case basis and if approved by the company.) The Senior Manager, Data, Data Science & Artificial Intelligence (DDSAI), Immunology Real‑World Evidence (RWE), is an individual contributor responsible for delivering complex data science and real‑world evidence strategies in support of Immunology research and development programs. The role applies advanced real‑world methodologies to generate insights that inform clinical development, and scientific decision‑making both internal and regulatory. Operating with a high degree of autonomy within a defined scope, the Associate Director partners closely with cross‑functional teams to translate disease and therapeutic area priorities into actionable research questions while aligning with established functional strategies and governance frameworks.
Requirements
- PhD, PharmD, MD, or equivalent advanced degree in statistics, bioinformatics, epidemiology, computational biology, data science, or related quantitative discipline.
- Demonstrated experience applying data science, or real‑world evidence methods within pharmaceutical R&D, healthcare analytics, consulting, or a related professional field.
- Proven ability to work effectively within matrixed, cross‑functional teams.
- Experience working with real-world data sources such as electronic health records, administrative claims, registries, or secondary data.
- Strong stakeholder management, analytical, problem-solving, and communication skills.
Nice To Haves
- Candidates with a Master’s degree and substantial relevant experience may be considered.
- Experience supporting Immunology or related therapeutic area programs.
- Hands-on delivery of research projects using advanced statistical methods, predictive modeling, or machine learning.
- Experience contributing to scientific publications, abstracts, or regulatory-supporting analyses.
Responsibilities
- Contribute to the execution of real‑world and DDSAI evidence plans aligned with Immunology disease and therapeutic area objectives.
- Lead defined evidence generation workstreams supporting clinical development programs, including identifying evidence gaps, patient characterization and subgroup identification, novel endpoint exploration and validation, asset differentiation, and comparative efficacy and effectiveness studies.
- Apply data science and statistical methodologies 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 ensure deliverables meet program evidence needs and timelines.
- Execute end‑to‑end project activities, including data fit-for-purpose assessment and validation, protocol development, results documentation and interpretation, and stakeholder management throughout the project life-cycle.
- Serve as a technical subject‑matter expert within cross‑functional teams, providing sound methodological recommendations to support program decision‑making.
- Prepare and deliver analytical summaries, presentations, and written materials for 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 providing real‑world evidence expertise and contributing to joint project deliverables.
- Participate in cross‑functional initiatives that enhance data science, digital health, and real‑world evidence capabilities across the organization.
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
Senior
Education Level
Ph.D. or professional degree
