About The Position

The Real-world Evidence & Advanced Analytics team within Johnson and Johnson Innovative Medicines is looking for an outstanding scientist and leader who provides cross therapeutic area RWE expertise. This role involves independently leading, managing, and mentoring a multidisciplinary team of RWE scientists to influence strategy and execute on priorities. The team builds a roadmap to deliver projects from data feasibility, study design and analysis, to final presentation to senior cross-functional leaders. This role will partner with the Data Science Therapeutic Area leaders to conceptualize, lead, shape, and deliver Real World Evidence. The individual will be a hands-on scientific and technical leader, leading a portfolio of RWE projects, and developing best practices and a common suite of tools that enable RWE data scientists to accelerate project delivery. The role requires providing end-to-end expertise in RWE studies, including conceptualizing research questions, data feasibility, study design, analysis, programming, and interpretation. It also involves providing 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. The role also provides thought leadership to generate actionable insights from historical trial data, observational databases, and literature reviews to support regulatory agency interactions. The individual will independently create study protocols, analysis plans, and statistical programming deliverables including analytical datasets, tables, and figures.

Requirements

  • 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

Nice To Haves

  • Expertise in drug development and experience working in a matrixed organization
  • Subject matter knowledge in oncology
  • Experience in regulatory-grade evidence, communicating and responding to agency reviews and comments

Responsibilities

  • 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.

Benefits

  • 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
  • 10 days Volunteer Leave – 32 hours per calendar year
  • Military Spouse Time-Off – 80 hours per calendar year
  • Consolidated retirement plan (pension)
  • Savings plan (401(k))
  • Long-term incentive program
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