Director, Global Real-world Evidence (RWE) Global Commercial Strategy Organization (GCSO)

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 jnj.com

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world.  We provide an inclusive work environment where each person is considered as an individual.  At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science

Job Category:

People Leader

All Job Posting Locations:

Raritan, New Jersey, United States of America

Job Description:

We are searching for the best talent for Director, Global Real-world Evidence (RWE) Global Commercial Strategy Organization (GCSO).

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 

The Director of Global RWE is responsible for developing, and executing industry-leading RWE strategies across J&J's Global Commercial Strategy Organization (GCSO). Working alongside the Senior Director, Global RWE for Oncology and other GCSO leaders, this role focuses on enhancing global go-to-market launch planning by making innovative and strategic decisions and investments based on RWE insights.

Purpose:

The role focuses on leveraging deep industry knowledge and cross-functional insights to identify opportunities for RWE growth both within GCSO and beyond, and implementing effective strategies into action. Collaboration is essential across global medical affairs, market access, commercial teams, and partners outside of GCSO, such as regional medical affairs, commercial groups, US Real World Value & Evidence (RWV&E), Global Epidemiology, J&J Technology (JJT) Data Sciences, and R&D Data Science, among others. The Director of Global RWE ensures these efforts align with stakeholder strategies at regional and local levels and provides support for implementation when needed.

You will be responsible for:

• Leading the global RWE strategy and execution for key oncology assets, including define research questions, develop study protocols, study design/methodology, real-world data selection and analysis, results dissemination, and communication to support medical adoption and product differentiation across regions.

• Serve as the GRWE representative on cross-functional franchise teams, partnering closely with Global Medical Affairs, Market Access, and other stakeholders. Act as the RWE subject matter expert in Global Integrated Evidence Generation Plan (IEG) and oversee global real-world data and evidence generation strategies.

• Advance RWE capabilities and best practices by sharing latest development and guidance in RWE, delivering technical training, strengthening internal expertise in advanced RWE methods, and supporting governance, quality standards, and compliance for global and local RWE activities.

• Lead Evidence Lab coordination to drive concept development, stakeholder alignment, and prioritization of RWE opportunities within the Global IEGP process.

• Ensure full compliance with regulatory, legal, and commercial regulations in research conduct, data usage, and scientific communication.

Qualifications / Requirements:

• Master’s degree in a quantitative field (e.g., epidemiology, HEOR, pharmacoepidemiology, biostatistics); PhD preferred

• Minimum of 6 years of relevant experience in pharma, biotech, or