Associate Director, Real World Research

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com

Job Function:

Market Access

Job Sub Function:

Health Economics Outcomes Research

Job Category:

People Leader

All Job Posting Locations:

Titusville, New Jersey, United States of America

Job Description:

Associate Director, Real World Research - Scientific Evidence & Policy Research

About Innovative Medicine

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at https://www.jnj.com/innovative-medicine

We are searching for the best talent for an Associate Director, Real World Research - Scientific Evidence & Policy Research (SEPR), in Scientific Affairs, to be located in Titusville, NJ

Purpose: Johnson & Johnson is seeking a candidate to enhance our real-world research capability. In this capacity 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 RWV&E 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.

 

You will be responsible for:

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.

 

Qualifications / Requirements:

• A minimum of a Master’s degree is required, and a PhD degree is strongly preferred, in a relevant discipline such as statistics, mathematics, economics, epidemiology, operations research, public health, or health administration.  
• A minimum of 6 years of relevant prior work experience or 4 years with a doctorate degree 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 outcome