Real World Evidence Feasibility Expert

Janssen Pharmaceutical Research & Development, L.L.C., a member of the Johnson & Johnson Family of Companies is recruiting for a Real World Evidence Feasibility Expert within Strategic Program Analytics in Global Clinical Development Organization (GCDO). This position can be located in Titusville NJ, Springhouse PA, Raritan NJ, Beerse Belgium, or Leiden Netherlands. Up to 20% domestic and international travel is required.


At the Janssen Pharmaceutical Companies of Johnson & Johnson, what matters most is helping people live full and healthy lives. We focus on treating, curing and preventing some of the most devastating and complex diseases of our time. And we pursue the most promising science, wherever it might be found.  


Janssen Research & Development, LLC discovers and develops innovative medical solutions to address important unmet medical needs in oncology, immunology, neuroscience, infectious diseases and vaccines, and cardiovascular and metabolic diseases. Please visit for more information.  


We are Janssen. Our mission drives us. Our patients inspire us. We collaborate with the world for the health of everyone in it.


The RWE Feasibility Expert position within Strategic Program Analytics in Global Clinical Development Organization (GCDO) will be an expert on the use of electronic health records (EHR) and claims data to optimize clinical trial feasibility with the RWE Feasibility Lead. This position will closely collaborate with RWE colleagues in Epidemiology and Quantitative Science teams to further establish a COE for RWE Feasibility in R&D Operations. This position will serve as a liaison between GCDO, the Therapeutic Area clinical teams, and the Epidemiology Analytics group to perform analyses using real-world data to optimize the feasibility process for clinical trial protocols.


This person provides leadership on the use of existing and new RWE datasets (e.g., claims, EHR, hospital) in conducting clinical trial feasibility assessments and will be responsible for translating protocol inclusion/exclusion criteria into queries using RWE data. The position will support the operational strategy for GCDO and aid value assessments of implementing this capability.


This position will be team-facing, well-versed in clinical operations, with good understanding of analytical tools to query observational databases, including claims data and electronic health records.

The RWE Feasibility Expert will collaborate closely with the SPA leadership team to enhance the process for using RWE data in GCDO.

  • Liaise between the Therapeutic Area Clinical Teams and GCDO to identify opportunities where real-world data analysis can support clinical trial feasibility assessment and study contingency planning.
  • Partner with the Epidemiology Analytics/Quantitative Sciences teams to define the queries to run in available RWE databases.
  • Partner with Study Placement Managers and Clinical Program Leaders across therapeutic areas to ensure RWE analyses are translated into operational insights on protocol feasibility, country selection and study planning.
  • Supports embedding RWE clinical trial feasibility into processes in close collaboration with the Head Study Placement & Analytics, the RWE Feasibility Lead and Quantitative Sciences group.  
  • Contributes to strategies to identify geographic and site locations for enrollment of patients into clinical trials using real world data assets.

  • A minimum of a Master’s degree in a life sciences discipline is required; a postgraduate degree (e.g., PhD, DrPH) in a relevant discipline (Epidemiology, Biostatistics, Health Economics, Public Health, Health Administration or Operations Research) is preferred. 
  • At least 5 years of relevant prior work experience in the healthcare industry within a pharmaceutical (or related) company, insurer, or a health system is required.
  • Experience in using administrative claims datasets or electronic health records to conduct observational research is preferred.
  • Working knowledge of statistical analysis tools/programs (e.g. SAS, R) is desired.
  • Knowledge of medical terminologies (e.g. ICD, NDC, SNOMED, MedDRA, LOINC, CPT) is desired.
  • Excellent communication skills and the innate flexibility to work in a rapidly growing organization.
  • Strong planning and tracking skills, customer-focused, well organized, detail oriented and capable of managing multiple projects.
  • Excellent time, priority, and self- management skills. 
  • Effective project and leadership skills and a proven ability to foster team productivity and cohesiveness.

Primary Location
United States-New Jersey-Titusville
Other Locations
North America-United States-Pennsylvania-Spring House, Europe/Middle East/Africa-Netherlands-South Holland-Leiden, North America-United States-New Jersey-Raritan, Europe/Middle East/Africa-Belgium-Antwerp-Beerse
Janssen Research & Development, LLC. (6084)
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