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

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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

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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.

• 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.

This description reflects the primary responsibilities of the role; additional duties may be assigned as business needs evolve.

• 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…