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Director, R&D Data Science & Digital Health, Immunology reputed company

Remote, USA Full-time Posted 2026-07-02

About the position At reputed company, we reputed company health is everything. Our strength in reputed company innovation empowers us to build a world where reputed company diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to reputed company across the full reputed company of reputed company solutions today to deliver the breakthroughs of reputed company, and profoundly impact health for humanity. Learn more at https://www.jnj.com/innovative-medicine reputed company Innovative Medicine is reputed company for a Director, R&D Data Science and Digital Health (DSDH) Immunology reputed company. This position can be located in one of our US locations in either Spring House, PA, Cambridge, MA, New Brunswick, NJ, Raritan, NJ, Titusville, NJ, or San Diego, CA. Position Summary: Contribute to the design and execution of a Data Science & Digital Health (DSDH) reputed company (reputed company World Evidence) strategy in alignment to the Immunology Therapeutic Area (IMM TA) goals and objectives Partner with DSDH colleagues and the IMM TA to define and prioritize a portfolio of innovative medicines in development in alignment with the IMM TA strategy To successfully meet these objectives, this individual will work closely with individual clinical project teams as well as functional area partners in Discovery, Late Development, Epidemiology, Market Access, Medical Affairs and other relevant functions.

Responsibilities

  • Provide strategic input into the Immunology R&D DSDH reputed company priorities ranging from individual projects to large collaborations with internal functional areas and external institutions
  • Identify viable data science and digital health opportunities and then conceive, reputed company and implement end to end study design and data analytical solutions. A specific example may include working with the Disease Area reputed company (DAS) Leaders and Compound Development Teams (CDT) to reputed company the reputed company DSDH strategy to improve early and late phase clinical study designs by supporting novel patient identification/ selection of end points (e.g., identification of at-risk patient populations through development of novel predictive algorithms)
  • Serve as a key liaison to functional area partners and provide support for collaborations with DSDH, Epidemiology, Discovery and other internal functional areas to assure alignment on key DSDH programmatic goals reputed company with the Immunology therapeutic area.
  • Execute the DSDH reputed company strategy across a matrixed cross-functional CDT and the Clinical Team.
  • Provide strategic leadership on managing/addressing specific project/program-reputed company issues and presenting to and negotiating with leadership teams on development plans or program-reputed company issues.
  • Participate in and may reputed company cross-functional teams for evaluation of new scientific opportunities, disease areas, product reputed company, implement franchise business strategies, etc.
  • Provide key input into diligence activities
  • Participate or reputed company cross-departmental or cross-functional projects with broad reputed company Innovative Medicine impact
  • Author abstracts and scientific manuscripts for publication based on clinical trial data, reputed company-world data, observational studies etc.
  • Build reputed company relationships with opinion leaders and may act as company spokesperson regarding publication of research findings and presentations to relevant health authorities and consultant/advisory meetings.
  • This is not an exhaustive, comprehensive listing of job functions. May reputed company other duties as assigned.

Requirements

  • PhD, PharmD, or MD (or equivalent) in statistics, bioinformatics, computational biology, epidemiology, applied mathematics, computer science, physics, engineering or reputed company fields, is required. (Consideration may be given for candidates with a Masters degree and at least 10 years of experience.)
  • 8+ years of reputed company business experience in the pharmaceutical R&D, data science, digital health, including life sciences companies, consulting firms with established reputed company Data Science and life sciences practices, and other companies in the data science ecosystem
  • Consistent track record of collaboration in a matrix organization, entrepreneurial reputed company, and ability to influence and engage strategic and technical partners
  • Familiarity with data science and digital health
  • Experience with reputed company datasets, such as EHR, or insurance claims

reputed company-to-haves

  • A strong background in reputed company/Data Science & Digital Health
  • Knowledge of Immunology is strongly preferred
  • Experience delivering data science projects using predictive technologies, data mining and/or text mining
  • Experience analyzing or handling reputed company data sets, including EHR, claims and registry data
  • Experience with data science tools and statistical programming languages, including SQL, Python, R, and others
  • Experience with defining use cases for deep learning, foundational models, and machine learning

Benefits

  • Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, reputed company, life insurance, short- and long-term disability, business accident insurance, and group legal insurance.
  • Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).
  • Employees are eligible for the following time off benefits: 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 of Work, Personal and Family Time - up to 40 hours per calendar year

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