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- Tasks: Drive observational research and generate real-world evidence to inform medicine development.
- Company: Join a leading global epidemiology department in London.
- Benefits: Collaborative environment, career growth, and the chance to influence patient outcomes.
- Why this job: Make a real impact using diverse data sources across the U.S., UK, and Europe.
- Qualifications: PhD in Epidemiology with experience in large databases and observational study design.
- Other info: Be part of a scientifically rigorous team that values innovation and curiosity.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Location: London (Moorgate)
Function: Translational Epidemiology & Advanced Methods (TEAM), Global Epidemiology
Help shape the future of medicines by turning real‑world data into real‑world impact. We are looking for an ambitious Scientist, Epidemiology to join our Translational Epidemiology & Advanced Methods (TEAM) Unit within the Global Epidemiology Department. This is a key role for an epidemiologist who wants to apply advanced methods to meaningful problems across multiple therapeutic areas, with a particular focus on selected U.S., UK and European data assets.
You will work at the interface of science, medicine, and data – partnering with colleagues across R&D and beyond to generate evidence that informs development, safety, and use of our medicines worldwide.
What you’ll do:
- Drive observational research and RWE generation
- Contribute to the design and development of robust observational studies and protocols across assigned products and therapeutic areas
- Lead and support studies using real‑world data from selected major U.S. databases, as well as UK and European sources (claims, EHRs, registries, biobanks, surveys and other RWD)
- Help develop analysis plans and data specifications, and interpret study findings to support internal decision‑making, regulatory submissions and publications
- Prepare high‑quality tables, figures, and summaries for internal governance, regulatory agencies, and scientific communications
- Collaborate closely with colleagues in Clinical Research, Regulatory Affairs, Safety, Statistics & Statistical Programming, Outcomes Research, Health Economics, Discovery Medicine, and Commercial
- Contribute epidemiologic input to product safety and risk management, post‑marketing safety studies, clinical development plans, and regulatory interactions
- Work as part of cross‑functional teams to ensure epidemiologic evidence is appropriately generated, understood, and applied
- Maintain awareness of key external data sources, especially U.S., UK, and European assets, relevant to our therapeutic areas
- Stay current with evolving epidemiologic and analytic methods (e.g., propensity scores, causal inference; familiarity with ML/AI‑based approaches is a plus)
- Strengthen the company’s scientific reputation by authoring or contributing to manuscripts, presenting at scientific meetings, and participating in peer review where appropriate
What you bring:
- Minimum education: PhD in Epidemiology
- Demonstrated experience leading epidemiologic projects using large databases (e.g., national surveys, administrative claims, EHRs, disease registries), including familiarity with UK and European data assets
- Strong skills in observational study design and protocol development
- Experience working with large datasets in partnership with statisticians/programmers; hands‑on experience with SAS and/or R is preferred
- Research output commensurate with career stage (e.g., peer‑reviewed manuscripts, abstracts, scientific presentations)
- Solid knowledge of core epidemiologic and pharmacoepidemiologic methods and of healthcare data structures in major markets
- Excellent verbal and written communication skills, with strong problem‑solving ability
- Proven ability to work effectively in cross‑functional teams and collaborate with colleagues from diverse scientific and professional backgrounds
Preferred experience and skills:
- Broad experience applying epidemiologic methods to pharmaceutical or biotechnology research questions
- Familiarity with Good Pharmacovigilance Practices (GVP), Good Pharmacoepidemiology Practices, and FDA/EMA guidance on RWE/RWD
Why join us?
- Work with rich, diverse real‑world data sources from the U.S., UK, Europe, and beyond
- Influence decisions across the product lifecycle – from early development through post‑marketing
- Be part of a collaborative, scientifically rigorous Epidemiology department with strong links across R&D
- Grow your career in an environment that values innovation in methods, curiosity, and scientific excellence
If you are passionate about leveraging real‑world data and epidemiologic methods to improve patient outcomes, we would like to hear from you.
Closing date for applications: 24/03/2026
Epidemiology Scientist in London employer: Merck Gruppe - MSD Sharp & Dohme
Contact Detail:
Merck Gruppe - MSD Sharp & Dohme Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Epidemiology Scientist in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the epidemiology field, attend relevant events, and engage with professionals on platforms like LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by brushing up on your knowledge of real-world data and observational study design. Be ready to discuss your past projects and how they relate to the role. Practise common interview questions and think about how you can showcase your problem-solving skills.
✨Tip Number 3
Don’t just apply; follow up! After submitting your application through our website, send a polite email to express your enthusiasm for the role. This shows initiative and keeps you on the radar of hiring managers.
✨Tip Number 4
Stay updated on the latest trends in epidemiology and data analysis methods. Subscribe to relevant journals or join online forums. Being knowledgeable about current practices will not only help you in interviews but also demonstrate your commitment to the field.
We think you need these skills to ace Epidemiology Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in epidemiology and any relevant projects you've led. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about epidemiology and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Data Skills: Since this role involves working with large datasets, make sure to mention your experience with tools like SAS or R. Highlight any specific projects where you’ve used these skills to drive research outcomes – we’re all about real-world impact!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Merck Gruppe - MSD Sharp & Dohme
✨Know Your Data
Familiarise yourself with the key U.S., UK, and European data assets mentioned in the job description. Be prepared to discuss how you've used large datasets in your previous work, especially in observational studies. This will show that you understand the role's requirements and can hit the ground running.
✨Showcase Your Collaboration Skills
Since this role involves working closely with cross-functional teams, think of examples where you've successfully collaborated with colleagues from different backgrounds. Highlight your communication skills and how you’ve contributed to team projects, as this will demonstrate your ability to work effectively in a diverse environment.
✨Stay Current with Methods
Brush up on the latest epidemiologic and analytic methods, particularly those mentioned like propensity scores and causal inference. If you have experience with ML/AI-based approaches, be ready to discuss it. Showing that you're up-to-date with evolving methods will impress your interviewers.
✨Prepare for Technical Questions
Expect questions about your experience with SAS or R, as well as your understanding of core epidemiologic methods. Prepare to discuss specific projects where you applied these skills. Being able to articulate your technical expertise will help you stand out as a strong candidate.