Team Manager, Epidemiology and Real-world Evidence

Vor 2 Tagen

Basel, Schweiz Philip Morris International Vollzeit

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

Be a part of a revolutionary change.

At PMI, we’ve chosen to do something incredible. We’re totally transforming our business, and building our future on smoke-free products.

With huge change, comes huge opportunity. So, wherever you join us, you’ll enjoy the freedom to dream up and deliver better, brighter solutions and the space to move your career forward in endlessly different directions.

It’s so rare in R&D that everything aligns to create the ideal conditions for outstanding work. Right now, at PMI, that’s exactly what’s happening. R&D is the driving force for our bold new vision: to replace cigarettes with a revolutionary portfolio of alternative products.

If you’re creative, courageous and ready to take risks, you can make a huge impact and propel your career in an endless number of directions. Ultimately, by delivering our smoke-free and beyond nicotine future.

Your ‘day to day’

As a Team Manager, Epidemiology and RWE you will be responsible for evidence generation through real-world data studies using a combination of existing data sources and prospective data collection to achieve PMI business goals. The real-world evidence studies aim at assessing and quantify the health effects of smoke-free products in the real world with the goal of supporting health-related claims, regulatory submissions and engage with the scientific community and the public.

More specifically, you'll
- Lead a team of 2-5 epidemiologists, develop their strengths and motivate them to deliver top-quality science within agreed timelines and budget, while fostering a culture of collaboration, efficiency, and performance.
- Find opportunities for new RWE studies in line with key programs. Design and conduct RWE studies (using the support of vendors and direct reports) with a focus on retrospective cohort studies and evidence generation on comparative safety for our products. Be responsible for scientific aspects of RWE studies: guide and monitor the selection of appropriate data sources, design, conduct and methodologies for analysis of RWE studies and identify potential risks. Track progress of research activities against agreed timelines, provide timely updates.
- Co-develop and implement PMI-wide RWE strategy, aligning it with the company's objectives, Life Sciences strategy, and Life Sciences Programs priorities. Stay abreast of standards and trends in real-world evidence and epidemiology to ensure good practices and enhance the value of real-world data.
- Present study design and results, engage with Key Opinion Leaders in collaboration with Medical Affairs and Scientific Engagement teams. Communicate, internally and externally to a wide variety of people, on the value of RWE, study plans and results.
- Ensure that regulatory guidance, good epidemiology practices and internal Standard Operating Procedures (SOPs) and processes pertaining to statistical principles and research methodologies are followed on all RWE studies.

Who we’re looking for
- MSc or PhD (preferred) in epidemiology, mathematics, biostatistics or corresponding skills demonstrated through work experience.
- Minimum 10 years’ experience designing, conducting, analyzing and reporting RWE studies of all types in different geographies using a broad range of real-world data sources.
- Minimum 10 years’ experience identifying the right data sources to address a scientific question and establishing then leading partnership with data owners in different geographies. Europe, USA and Japan experience is an advantage.
- Deep scientific skills in epidemiology and biostatistics with a track record of following standard methodologies in RWE, epidemiology and statistical methodologies as evidenced by a strong track record of scientific publications and case examples
- Excellent communication skills. Demonstrated ability to negotiate, influence healthcare development programs and internal teams, collaborate as part of cross-functional teams. Experience in the life science industry is desired.
- People management experience
- Vendor management and study oversight, or consulting experience
- Knowledge of programming languages (e.g., Python, R) with the ability to supervise others using them.
- Top epidemiology methodology and biostatistics skills are required, predictive modeling skills are a plus.
- Fluency in written and spoken English is mandatory.

What we offer

Our success depends on the people who come to work every single day with a sense of purpose and an appetite for progress.

Join PMI and you too can:

- Seize the freedom to define your future and ours. We’ll empower you to take risks, experiment and explore.
- Be part of an inclusive, diverse culture, where everyone’s contribution is respected; collaborate with some of the world’s best people and feel like you belong.
- Pursue your ambitions and develop your skills with a global business - our

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