Team Manager, Epidemiology and Real-World Evidence (RWE)

A leading global organisation in scientific research and health innovation seeks a Team Manager for Epidemiology and Real-World Evidence (RWE) at their Neuchâtel facility in Switzerland. The company employs over 80,000 people across the globe, operates state-of-the-art research facilities on multiple continents, and distributes products in over 180 countries. This role represents a significant opportunity to contribute to groundbreaking health solutions within a well-respected and internationally recognised research entity.

Your Role as Team Manager, Epidemiology and RWE:

• The successful candidate will lead a team of epidemiologists dedicated to conducting high-quality scientific research within set budgets and timelines.
• They will design, initiate, and oversee real-world evidence studies aimed at enhancing health outcomes.
• Responsibilities include refining the strategic RWE approach to align with the company's global objectives and scientific priorities.
• They will maintain rigorous standards in research methodologies and data integrity, adhering to both internal guidelines and external regulatory requirements.
• The role requires effective communication of study designs and results to both internal stakeholders and the external scientific community, reinforcing the company's leadership in health research.

Experience and Qualifications for the Team Manager, RWE Role:

• Candidates should hold an advanced degree (MSc or PhD) in Epidemiology, Biostatistics, or a related field.
• A minimum of 10 years of experience in designing, conducting, and analysing RWE studies, with a comprehensive understanding of various data sources worldwide.
• A proven track record in scientific research and publications, along with strong leadership and analytical skills, is essential.
• The candidate must possess exceptional communication skills and have experience in leading multidisciplinary teams and managing external partnerships.
• Proficiency in statistical software such as Python or R is required, and skills in predictive modelling are highly desirable.
• Fluency in English, both written and spoken, is mandatory.

This position offers an exceptional opportunity to drive change and make a significant impact in a leading global health research organisation. Interested candidates are invited to apply today for immediate consideration. For more information or to inquire about similar opportunities in the sector, please reach out directly.