Epidemiology Scientist in London

Epidemiology Scientist in London

London Full-Time 55000 - 65000 ÂŁ / year (est.) No home office possible
MSD in the UK

At a Glance

  • Tasks: Drive observational research and generate real-world evidence to shape future medicines.
  • Company: Join a leading global epidemiology team in London, focused on impactful health solutions.
  • Benefits: Collaborative environment, career growth, and the chance to influence healthcare decisions.
  • Why this job: Make a real impact on patient outcomes using diverse data sources and advanced methods.
  • Qualifications: PhD in Epidemiology with experience in large datasets and observational study design.
  • Other info: Be part of a scientifically rigorous team that values innovation and curiosity.

The predicted salary is between 55000 - 65000 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

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.

Closing date for applications 24/03/2026

Job Posting End Date: 03/25/2026

Epidemiology Scientist in London employer: MSD in the UK

Join our dynamic team in London (Moorgate) as an Epidemiology Scientist, where you will have the opportunity to work with diverse real-world data and influence critical decisions across the product lifecycle. Our collaborative work culture fosters innovation and scientific excellence, providing ample opportunities for professional growth and development. With a focus on meaningful impact in healthcare, we are committed to supporting your career while you contribute to shaping the future of medicines.
MSD in the UK

Contact Detail:

MSD in the UK 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 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, especially those involving real-world data. This will help you stand out during interviews and showcase your hands-on experience.

✨Tip Number 3

Practice makes perfect! Conduct mock interviews with friends or mentors. Focus on articulating your experience with observational studies and data analysis clearly and confidently.

✨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 in London

Epidemiologic Project Leadership
Observational Study Design
Protocol Development
Real-World Data Analysis
SAS
R
Healthcare Data Structures
Pharmacoepidemiologic Methods
Communication Skills
Cross-Functional Collaboration
Problem-Solving Skills
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 reflects the skills and experiences that align with the Epidemiology Scientist role. Highlight your experience with large datasets and observational study design, as these are key for us.

Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about epidemiology and how your background makes you a great fit for our team. Be specific about your experience with real-world data and collaborative projects.

Showcase Your Research: If you've authored any peer-reviewed manuscripts or presented at scientific meetings, make sure to mention these in your application. We love seeing evidence of your contributions to the field!

Apply Through Our Website: For the best chance of success, apply directly through our website. This ensures your application gets to the right people and shows us you're serious about joining our team.

How to prepare for a job interview at MSD in the UK

✨Know Your Data

Familiarise yourself with the key real-world data sources mentioned in the job description, especially those from the U.S., UK, and Europe. Be prepared to discuss how you’ve used these datasets in your previous work and how they can inform epidemiological studies.

✨Showcase Your Methodology Skills

Highlight your experience with advanced epidemiological methods, such as propensity scores and causal inference. If you have familiarity with ML/AI-based approaches, make sure to mention it, as this could set you apart from other candidates.

✨Collaborative Spirit

Demonstrate your ability to work in cross-functional teams. Share examples of how you've collaborated with statisticians, clinical researchers, or regulatory affairs professionals to drive observational research and generate real-world evidence.

✨Communicate Effectively

Prepare to articulate complex epidemiological concepts clearly and concisely. Practice explaining your research outputs, such as peer-reviewed manuscripts or presentations, in a way that showcases your communication skills and problem-solving abilities.

Epidemiology Scientist in London
MSD in the UK
Location: London

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