Remote Epidemiology Manager, Real-World Evidence

Johnson & Johnson Co.; Raynham (MA); Remote; USD 117.000 - 201.000; Vollzeit

Zusammenfassung

Johnson & Johnson is seeking a Manager, Epidemiology and Real-World Data for Orthopedics. This hands-on role designs and executes real-world evidence studies, translating findings into publications and communications to support product lifecycle and market access.

The position is remote across the United States, reporting to the Director, with collaboration across cross-functional teams, vendors, and academic partners. A Master’s degree and 5+ years in RWE are preferred; PhD is a plus.

Qualifikationen

• Master’s degree or PhD in quantitative health sciences or related field.
• Experience in real-world evidence or outcomes research in medical device/pharma.
• Strong statistical and programming skills with healthcare data.

Aufgaben

• Design and execute RWE and outcomes research studies with guidance from the Director.
• Develop study protocols, analysis plans, and perform data preparation and analysis.
• Draft manuscripts, abstracts, and scientific presentations; collaborate on publications.
• Support economic modeling and market access analytics; develop research-based models and tools.
• Manage study timelines and deliverables; coordinate internal and external contributors.
• Ensure scientific rigor and reproducibility; adhere to SOPs and documentation standards.

Kenntnisse

Outcomes research

Epidemiology

Biostatistics

Data science

Ausbildung

Master’s degree in health economics/outcomes research/epidemiology/biostatistics/health policy or related field

Doctorate (PhD) preferred

Tools

R

Python

Jobbeschreibung

Johnson & Johnson is seeking a Manager, Epidemiology and Real-World Data for Orthopedics. This hands-on role designs and executes real-world evidence studies, translating findings into publications and communications to support product lifecycle and market access.

The position is remote across the United States, reporting to the Director, with collaboration across cross-functional teams, vendors, and academic partners. A Master’s degree and 5+ years in RWE are preferred; PhD is a plus.