Johnson & Johnson is looking to solve the problem of developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way through the development of Real-World Evidence (RWE) and Advanced Analytics.
Requirements
- Expert coding skills using R, Python, or SAS
- Extensive hands-on experience with data extraction, cleaning, and analysis, as well as 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
- A Ph.D. degree in epidemiology or biostatistics
- At least 8 years of relevant experience within biopharma companies, RWE consulting firms, or other relevant healthcare industries
- Expertise in drug development and experience working in a matrixed organization
- Subject matter knowledge in oncology, Immunology or Neuroscience
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
Other
- At least 5 years of experience as a people manager
- Excellent interpersonal, communication and presentation skills
- A Ph.D. degree in epidemiology or biostatistics
- Experience in regulatory-grade evidence, communicating and responding to agency reviews and comments
- Ability to work in a hybrid environment
