Senior Scientist RWE

Senior Scientist, 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.

Join us and you’ll have the resources, support, and technology you need to break new ground and see ideas come to life. You’ll be surrounded by some of the brightest scientists in their fields, with fast access to subject experts and commercial decision-makers.

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 Senior Scientist, 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 quantifying the health effects of smoke-free products with the goal of supporting health-related claims, regulatory submissions and engage with the scientific community and the public.

More specifically, you'll

1. Design and lead RWE studies with a focus on case-control, retrospective cohort studies and evidence generation on comparative safety for our products by primary data collection or using the target trial emulation framework.
2. 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. Manage vendors in the conduct of RWE studies.
3. Build and maintain partnerships with academic researchers, medical professionals and external database holders.
4. Stay abreast of standards and trends in real-world evidence and epidemiology to ensure good practices and enhance the value of real-world data.
5. 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.
6. 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

1. MSc or PhD (preferred) in epidemiology, public health, statistics, data science or corresponding skills demonstrated through work experience.
2. Minimum of 5 years (if PhD) or 10 years (if MSc) of work experience in designing, conducting, analyzing, and reporting RWE studies across various geographies using a broad range of real-world data sources. At least 2 years of experience in the Life Sciences industry.
3. Demonstrated experience in secondary data analysis of electronic health records databases and knowledge of privacy-protecting record linkage algorithms.
4. 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.
5. Excellent communication skills. Demonstrated ability to negotiate, influence healthcare development programs and internal teams, collaborate as part of cross-functional teams.
6. Vendor management and study oversight, or consulting experience.
7. Preferred, but not required, knowledge of programming languages (e.g., Python, R) with the ability to supervise others using them.
8. Top epidemiology methodology and biostatistics skills are required, predictive modeling skills are a plus.
9. 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

1. Seize the freedom to define your future and ours. We’ll empower you to take risks, experiment and explore.
2. 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.
3. Pursue your ambitions and develop your skills with a global business – our staggering size and scale provides endless opportunities to progress.
4. Take pride in delivering our promise to society: a smoke-free future.

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