Associate Director, R&D Data Science – Digital Health, Immunology Real World Evidence

Johnson & Johnson

Associate Director leading R&D Data Science & Digital Health focusing on Immunology at Johnson & Johnson. Delivering complex data science strategies to enhance clinical development programs.

Posted 5/8/2026full-timeSpring House • Massachusetts, New Jersey, Pennsylvania • 🇺🇸 United StatesSenior💰 $137,000 - $235,750 per yearWebsite

About the role

Key responsibilities & impact

Contribute to the execution of real‑world and digital health 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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

Medical
Dental
Vision
Life insurance
Short- and long-term disability
Business accident insurance
Group legal insurance
Consolidated retirement plan (pension)
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
Personal and Family Time - up to 40 hours per calendar year

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data sciencestatistical methodologiesreal-world evidence methodsprotocol developmentdata fit-for-purpose assessmentcomparative efficacy studieseffectiveness studiespatient characterizationsubgroup identificationnovel endpoint exploration

Soft Skills

stakeholder managementanalytical skillsproblem-solving skillscommunication skillscollaborationleadershiporganizational skillsmethodological recommendationscross-functional teamworkknowledge sharing

Certifications

PhDPharmDMD