[Hiring] Senior Manager, Data Science & Artificial Intelligence @Johnson & Johnson Innovative Medicine

Role 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.

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.

Key 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.

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

Scope and Decision‑Making Authority

• 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.

Qualifications

• 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 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.

Preferred Qualifications

• 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.

Requirements

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.)

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.

Additional information can be found through the link below: Employee Benefits