Associate Director for R&D Data Science and Digital Health, Real-World Evidence

Johnson & Johnson-posted 3 months ago
$137,000 - $235,750/Yr
Full-time • Manager
Hybrid • Cambridge, MA
5,001-10,000 employees
Chemical Manufacturing
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Johnson & Johnson Innovative Medicine is recruiting an Associate Director for R&D Data Science and Digital Health, Real-World Evidence. Johnson & Johnson Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, cardiovascular and metabolic disorders, immunology, pulmonary hypertension, retinal disorders, and neuroscience. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market - from patients to practitioners and from clinics to hospitals. The Data Science Real-World Evidence Analytics & Insights team within Johnson and Johnson Innovative Medicines develops innovative insights and solutions bringing to bear a variety of different data sources across multiple disease areas. We are looking for outstanding scientist and leader whose responsibilities include: Be a hands-on technical leader, leading a portfolio of RWE projects while instituting best practices, and developing common technical tools, crafting a data-driven culture, of accelerating, scaling and productionalizing deliverables while mentoring and educating peers in the adoption of technical best practices and common tools.

  • Be a hands-on technical leader, leading a portfolio of RWE projects while instituting best practices, and developing common technical tools.
  • End-to-end expertise in RWE studies including conceptualizing the research questions, data feasibility, study design, analysis, programming, and interpretation.
  • Provide thought leadership and hand-on programming expertise for developing, adapting and delivering Real-World Data methodologies.
  • Provide thought leadership and hand-on programming expertise to generating RWE or secondary evidence from post-hoc RCT analyses, observational databases, and literature reviews.
  • Independently create study protocols, statistical analysis plans, and statistical programming deliverables.
  • Experience creating pipelines, functions, packages to perform frequently used actions and/or deliverables.
  • Partner with the Data Science Therapeutic Area scientists to conceptualize, lead, shape and deliver Real World Evidence.
  • Partner closely with R&D DSDH Real-World Evidence LT team to drive strategic and business planning.
  • Contribute to the development and implementation of best practices, process improvements, and innovative approaches.
  • Contribute to the development and implementation of RW data strategy by identifying and exploring new opportunities.
  • A Ph.D. degree, or master's degree in a quantitative field (e.g., epidemiology, statistics, biostatistics, or similar).
  • At least 5 years of relevant experience within start-up, technology, biopharma or healthcare industries.
  • Extensive hands-on experience with data engineering and exploratory data analysis, statistical modeling, time-to-event analyses.
  • Demonstrated expertise with multiple real-world data sources (EHR, insurance claims, registry data).
  • Excellent interpersonal, communication and presentation skills.
  • Extensive experience with database programming and use of statistical programming languages including expert proficiency in either, R or Python.
  • Demonstrated experience as a technical lead in developing, testing and maintaining technical frameworks for RWE analyses.
  • Extensive knowledge of RWE Common Data Models (OMOP, FHIR, i2b2) & Analysis frameworks (OHDSI, pharmaverse).
  • Demonstrated experience in managing operations, with strong stakeholder management capabilities.
  • Demonstrated experience in business planning, resource allocation and prioritization.
  • Familiarity with drug discovery and the clinical development process.
  • Expertise in Oncology, Immunology or Neuroscience drug development.
  • Experience in regulatory-grade evidence, communicating and responding to agency reviews and comments.
  • Competitive compensation
  • Paid vacation
  • Paid sick days
  • Paid family/work time
  • 401(k) matching
  • Short- and long-term incentives tied to performance
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