J&J Family of Companies Associate Director, Real World Research, Real World Value & Evidence in Titusville, New Jersey
Janssen Scientific Affairs, LLC, is recruiting for an Associate Director, Real World Research, Real World Value & Evidence (RWV&E) to be located in Titusville, NJ
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 Scientific Affairs, LLC is committed to transforming patient and population health through scientific evidence across the Janssen pharmaceutical companies. We are Janssen. Our mission drives us. Our patients inspire us. We collaborate with the world for the health of everyone in it. Thriving on a diverse company culture, celebrating the uniqueness of our employees and committed to inclusion. Proud to be an equal opportunity employer. The Associate Director, Real World Research will generate and report real-world evidence about disease, health service utilization and the effects of medical products through the analysis of healthcare data. This person will support the RW Research Group, RWE Team Leaders, RWE Alliance Leaders, Health Economics and Outcomes Research Leaders, and Commercial Analytics Leaders to perform scientifically rigorous RWE studies via analysis of secondary data such as claims databases and electronic health records. This person will design and execute on analytic plans using claims data, electronic medical records, and/or other RW databases, and ensure high-level technical, scientific and methodological expertise in statistics, health economics and outcomes research and/or epidemiology. The successful candidate will apply computational methods for analytics on large patient-level longitudinal datasets and establish and maintain statistical/database programming standards of excellence for RWE studies that are intended for external publication and communication. This person will be responsible for learning, evaluating, and validating models, based on information available in administrative claims, electronic health records, and other data sources. This person will perform urgent analyses that are needed with short turnaround time and interact with external collaborative partners on joint projects. Additional responsibilities of the Associate Director include: Advising on appropriate statistical and programming approaches to answering key research questions that are identified by therapeutic areas; Contributing to the study design, development of protocols, reports, abstracts and manuscripts; Conducting statistical analysis and database programming for RWE studies that are intended for external publication and communication; Developing and using economic and statistical models including, but not limited to, budget impact and cost effectiveness models, regression modeling techniques, mixed models, survival analysis, propensity score matching/modeling and non-parametric methods; Performing health economics and outcomes, and comparative effectiveness analyses; Interacting and advising/consulting with external collaborative partners on joint projects; Assessing outsourcing opportunities for external analysis.
A PhD degree is required in a relevant discipline such as biostatistics, mathematics, economics, public health, health administration or operations research.
A minimum of 4 years of relevant prior work experience in the healthcare industry within a pharmaceutical (or related) company, consultancy, academia, or within a health system is required.
Academic training and industry or payer experience in statistics, health economics, and outcomes research is required.
Proficiency in statistical programming (e.g. SAS, R) is required.
Experience designing and conducting health economics and outcomes research, real world evidence and/or pharmacoepidemiology studies required.
Experience with analytics, coding and management of secondary data such as large, longitudinal health care claims data and electronic health/medical records is required.
Self-motivation, self-initiation, and ability to meet deadlines are required
Ability to plan, organize, and work on multiple tasks simultaneously in different therapeutic areas are required
Experience developing and using economic and statistical models such as regression modeling techniques, mixed models, survival analysis, propensity score matching/modeling and non-parametric methods is required.
Strong written and oral communication skills are required.
Knowledge of and experience with alternative payment models (such as risk-based, outcomes-based, or value based contracting) are preferred.
Experience with data visualization techniques such as with Tableau and Spotfire is preferred.
Experience with modeling, including budget impact and cost effectiveness models, is preferred.
Experience with applied analyses in one or more of the following therapeutic areas is preferred: Cardiovascular & Metabolism, Immunology, Infectious Diseases & Vaccines, Neuroscience or Oncology.
May require up to 10% travel.
United States-New Jersey-Titusville-1125 Trenton Harbourton Road
Janssen Scientific Affairs, LLC (6120)
J&J Family of Companies
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