Director, R&D Data Science – Digital Health, RWE, Advanced Analytics

Johnson & Johnson

Director leading R&D Data Science & Digital Health at Johnson & Johnson. Responsible for managing RWE scientists and influencing strategy for advanced analytics.

Posted 5/8/2026full-timeTitusville • Massachusetts, New Jersey, Pennsylvania • 🇺🇸 United StatesLead💰 $164,000 - $282,900 per yearWebsite

About the role

Key responsibilities & impact

Independently lead, manage, and mentor a multidisciplinary team of RWE scientists to influence strategy and execute on the priorities, building a roadmap to deliver the projects from data feasibility, study design and analysis, to final presentation to senior cross-functional leaders.
Partner with the Data Science Therapeutic Area leaders to conceptualize, lead, shape and deliver Real World Evidence.
Be a hands-on scientific and technical leader, lead a portfolio of RWE projects, and develop best practices and a common suite of tools that enable RWE data scientists to accelerate project delivery.
Provide end-to-end expertise in RWE studies including conceptualizing research questions, data feasibility, study design, analysis, programming, and interpretation.
Provide scientific leadership in developing and applying Real-World Data (RWD) methodologies to mitigate observed and unobserved biases in the execution of external control arm studies, hybrid control studies, comparative effectiveness analyses, etc.
Provide thought leadership to generate actionable insights from historical trial data, observational databases, and literature reviews to support regulatory agency interactions.
Independently create study protocols, analysis plans, and statistical programming deliverables including analytical dataset, tables and figures

Requirements

What you’ll need

A Ph.D. degree in epidemiology or biostatistics
Good coding skills using R
At least 8 years of relevant experience within biopharma companies, RWE consulting firms, or other relevant healthcare industries
At least 5 years of experience as a people manager
Extensive hands-on experience with data analysis and statistical methods to mitigate confounding and selection biases
Expertise with multiple real-world data sources (EHR, insurance claims, registry data); familiarity with clinical trial data structure
Excellent interpersonal, communication and presentation skills.

Benefits

Comp & perks

Subject to the terms of their respective plans, employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k))
This position is eligible to participate in the Company’s long-term incentive program.
Vacation –120 hours per calendar year
Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado –48 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year
Holiday pay, including Floating Holidays –13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year
Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
Bereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
Caregiver Leave – 80 hours in a 52-week rolling period
Volunteer Leave – 32 hours per calendar year
Military Spouse Time-Off – 80 hours per calendar year

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Rdata analysisstatistical methodsstudy designprogrammingReal World Evidence (RWE)Real World Data (RWD)comparative effectiveness analysisprotocol developmentstatistical programming

Soft Skills

leadershipmentoringcommunicationinterpersonal skillspresentation skillsstrategic thinkingcollaborationproblem-solvinginfluencingthought leadership

Certifications

Ph.D. in epidemiologyPh.D. in biostatistics