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Director, R&D Data Science & Digital Health - Hematology, Oncology

Johnson & Johnson

$160,000 - $276,000
Sep 12, 2025
Titusville, FL, US
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Johnson & Johnson Innovative Medicine is looking to hire a Director, R&D Data Science & Digital Health - Hematology, Oncology to develop treatments that improve the health of people worldwide by facilitating decision making in early development portfolios.

Requirements

  • Advance degree in Health Science (Ph.D or MD) or Masters Degree, Pharm D with equivalent work experience in pharmaco-epidemiology, statistics, computational science, outcomes research or related field in health care area.
  • A minimum of 7 years industry experience in drug development or related discipline in the field of biotechnology and biomarkers
  • Prior experience with drug development, in areas such as translational research, clinical studies, or regulatory interactions.
  • Working knowledge of advanced analytic methods, such as statistical modeling, biostatistics, machine learning, and/or other relevant techniques.
  • Familiarity with healthcare relevant datasets, such as EHR/RWD, genomics, insurance claims, and emerging platforms such as cell profiling and medical imaging analytics.
  • Proficiency with regulatory submissions and interaction.
  • Experience with emerging, innovative approaches to drug development, such as Generative AI is an asset.

Responsibilities

  • Serve as primary business leader for Data Science & Digital Health programs for robust Hematology Oncology Early Development portfolio.
  • Work closely with individual clinical teams as well as functional area partners (e.g., Translational research, Precision Medicine and diagnostics, Regulatory Affairs, Market Access, Clinical Development) to identify and implement end-to-end Data Science solutions aimed at facilitating decision making. (e.g. study design, execution, diagnostic planning and strategy)
  • Develop data and technical requirements to meet research objectives that can include Real-World Evidence, cell profiling, clinical phenotyping, computer vision/medical imaging that leverage technologies such as statistical methodologies, AI/Machine learning techniques (e.g. Generative AI).
  • Orchestrate, drive and deliver technical solutions with internal and external partners.

Other

  • This position will require up to 25% travel.
  • Capacity to manage timelines and drive key deliverables in a matrix environment.
  • Established leadership skills, including management of individuals and teams working towards common clinical/scientific goals
  • Consistent track record of managing timelines and driving key results in a matrixed organization
  • Excellent communication, interpersonal, and written skills