Epidemiology Scientist

Epidemiology Scientist

Full-Time 36000 - 60000 ÂŁ / year (est.) Home office (partial)
Merck Gruppe - MSD Sharp & Dohme

At a Glance

  • Tasks: Drive observational research and generate real-world evidence to inform medicine development.
  • Company: Join a leading global epidemiology department focused on impactful healthcare solutions.
  • Benefits: Collaborative environment, career growth opportunities, and access to diverse data sources.
  • Why this job: Make a real difference in patient outcomes using advanced epidemiologic methods.
  • Qualifications: PhD in Epidemiology with experience in large database projects 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.

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

Partner across the organisation

  • 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

Advance methods and science

  • 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.

Epidemiology Scientist employer: Merck Gruppe - MSD Sharp & Dohme

Join a leading organisation in the heart of London, where you can make a real impact on global health by leveraging diverse real-world data. Our collaborative work culture fosters innovation and scientific excellence, providing ample opportunities for professional growth and development within a supportive team environment. As an Epidemiology Scientist, you'll be at the forefront of shaping medicines that improve patient outcomes across multiple therapeutic areas.
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

✨Tip Number 1

Network like a pro! Reach out to professionals in the epidemiology field on LinkedIn or at conferences. A friendly chat can lead to opportunities that aren’t even advertised yet.

✨Tip Number 2

Show off your skills! Prepare a portfolio of your past projects and research. When you get the chance to meet potential employers, having tangible examples of your work can really set you apart.

✨Tip Number 3

Practice makes perfect! Get ready for interviews by doing mock sessions with friends or mentors. Focus on articulating how your experience aligns with the role of an Epidemiology Scientist.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team.

We think you need these skills to ace Epidemiology Scientist

Epidemiologic Project Leadership
Observational Study Design
Protocol Development
Real-World Data Analysis
SAS
R
Healthcare Data Structures
Pharmacoepidemiologic Methods
Communication Skills
Problem-Solving Skills
Cross-Functional Collaboration
Good Pharmacovigilance Practices (GVP)
Good Pharmacoepidemiology Practices
FDA/EMA Guidance on RWE/RWD

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in epidemiology and real-world data. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects and 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 make sure to connect your experiences to the job description.

Showcase Your Research Skills: Since this role involves observational studies and data analysis, highlight any relevant research you've conducted. Mention specific methodologies you’ve used and any publications or presentations that demonstrate your expertise.

Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and ensure it gets the attention it deserves!

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 sources relevant to epidemiology. Be prepared to discuss how you've used these datasets in past projects and how they can inform your work in this role.

✨Showcase Your Collaboration Skills

This role involves working closely with various teams. Think of examples where you've successfully collaborated with cross-functional teams, especially in clinical research or regulatory affairs, and be ready to share those stories.

✨Brush Up on Methodologies

Make sure you're up-to-date with the latest epidemiologic methods, including causal inference and machine learning approaches. Be ready to discuss how you’ve applied these methods in your previous work.

✨Prepare for Technical Questions

Expect questions about observational study design and protocol development. Review your experience with large datasets and statistical software like SAS or R, as you may be asked to explain your analytical approach during the interview.

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