Manager, Epidemiology and Real-World Data Sciences – MedTech Surgery

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:

Data Analytics & Computational Sciences

Job Sub Function:

Epidemiology

Job Category:

People Leader

All Job Posting Locations:

New Brunswick, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

Job Description:

Fueled by innovation at the intersection of biology and technology, we’re developing the next generation of smarter, less invasive, more personalized treatments.

Are you passionate about improving and expanding the possibilities of surgery? Ready to join a team that’s reimagining how we heal? Our Surgery team will give you the chance to deliver surgical technologies and solutions to surgeons and healthcare professionals around the world. Your contributions will help effectively treat some of the world’s most prevalent conditions such as obesity, cardiovascular disease and cancer. Patients are waiting.

Your unique talents will help patients on their journey to wellness. Learn more at https://www.jnj.com/medtech

Johnson & Johnson MedTech Surgery is hiring a Manager, Epidemiology and Real-World Data Sciences to join our team and grow their expertise and career in using real-world evidence (RWE).  The preferred location for the position is New Brunswick, NJ, Titusville NJ, or Springhouse, PA.  Remote work options in the US may be considered on a case-by-case basis and if approved by the Company.  

The MedTech Epidemiology and Real-World Data Sciences (MT Epi-RWDS) organization within Johnson & Johnson is an industry leader, on the cutting edge of conducting observational and epidemiologic research to support post-market safety and effectiveness, regulatory submissions, product development, product launches, value assessments, predictive analytics, machine learning, and business development of medical devices. We are also applying AI tools in RWE analyses, including using AI on digital and robotic intraprocedural data linked to long-term patient outcomes.  The MT Epi-RWDS team is part of the Global Epidemiology Organization in the Office of the Chief Medical Officer.

Key Responsibilities:

General Responsibilities

• Leading or contributing to projects to evaluate disease natural history, treatment patterns, patient journeys, safety and effectiveness of devices using clinical and surrogate endpoints, or benefit-risk questions for specific devices 
• Developing, reviewing, and writing study protocols, statistical analysis plans (SAP), and study reports
• Analyzing or overseeing the analysis of electronic healthcare databases such as EHRs, insurance claims data, hospital billing data, or registries
• Managing research projects and timelines
• Disseminating scientific information through technical reports, presentations, and publications in peer-reviewed literature, as agreed by the team
• Presenting research to internal stakeholders or external audiences
• Collaborating with partners within J&J and working closely with colleagues from MD Epi-RWDS and larger cross-sector epidemiology
• Leading or participating in work streams / task forces to standardize research and analytical processes to improve efficiency and quality of deliverables
• Work with analysts to extract raw data from servers, create analytical data files, and execute statistical analyses based on protocol specifications
• Work with large electronic healthcare databases and clinical coding taxonomies such as the International Classification of Diseases and Current Procedural Terminology
• Evaluate linked datasets to improve the relevance and reliability of real- world data sources to address important research questions

Surgery RWE Responsibilities
 

The Manager will be responsible for assisting with various RWE projects and evidence generation needs  for the J&J MedTech Surgery business unit (previously Ethicon, Inc.). Working in close collaboration with colleagues and business partners, the