Senior Manager, Data, Data Science & Artificial Intelligence- Immunology

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 Med Tech, 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.

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Data Analytics & Computational Sciences

Data Science

People Leader

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

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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Location:

Raritan, NJ;
Spring House, PA;
Titusville, NJ; or Cambridge, MA. Travel may require up to approximately 10% of time. Remote work arrangements in the US may be considered on a case by case basis and if approved by the company.

• Contribute to the execution of real-world and DDSAI evidence plans aligned with Immunology disease and therapeutic area objectives.
• Lead defined evidence generation work streams 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.

• Operates independently on complex initiatives within a defined program or portfolio scope.
• Makes technical and methodological recommendations based on expertise and guidelines.
• Strategic, portfolio, and final program decisions remain the responsibility of functional or therapeutic area leadership.
• Influences decision outcomes through scientific credibility, evidence-driven insights, and cross-functional collaboration rather than formal authority.

• 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 substantial relevant experience may be considered.)
• Demonstrated experience applying data science, or real-world evidence methods within pharmaceutical R&D, healthcare analytics, consulting, or a related professional field.
• Proven…