Associate Director, MedTech Epidemiology and Real-World Data Sciences

About the role

The Johnson & Johnson MedTech Epidemiology and Real-World Data Sciences (MedTech EPI-RWDS) team provides analytical capabilities using large administrative, patient-level databases to answer a variety of questions related to safety, product development, health outcomes research, and other clinical or commercial activities. This position will be located in either New Brunswick NJ, Titusville NJ, or Irvine, CA. (Remote work options in the US may be considered on a case-by-case basis and if approved by the company.)

Key Responsibilities

• Lead and contribute to the design of observational database analysis, including authoring protocols and analysis plans in support of RWE needs for the MedTech Cardiovascular franchise.
• Lead the synthesis of evidence from observational database analyses with other evidence to inform medical decision-making, including authoring publications and presentations.
• Work closely with colleagues within the department and across the larger cross-sector Epidemiology function, health economics and market access (HEMA) function, clinical function, and other Cardiovascular medical device functions.
• Implement new approaches for working with “big data” in healthcare. Some tasks may include data visualization, predictive analytics and machine learning algorithms.
• Report to the Senior Director, MT EPI-RWDS.

Qualifications

• A Doctor of Philosophy (PhD) Degree or equivalent in biostatistics, health services & outcomes research, epidemiology or other healthcare-related field with a minimum 3 years of epidemiology or related professional research experience. (Highly qualified candidates with a Masters degree may be considered.)
• In-depth knowledge of healthcare databases, registries, statistical analysis, and other related analytical methodology is required.
• A sophisticated understanding and the ability to analyze and interpret quantitative data.
• Experience with writing methods sections of study proposals and protocols is required.
• Experience authoring peer-reviewed publications and presenting in national/international healthcare conferences using results from real-world datasets is required.
• Experience in cross-functional partnering is required.
• Consulting, pharmaceutical or medical device industry experience is preferred.