Health Economics & Real-World Evidence (HE-RWE) Scientist

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London, London, United Kingdom
Application Deadline

Location: Primrose Hill, London, UK; Newcastle-upon-Tyne, UK; Westport, Rep. of Ireland

Type: Permanent, office-based

Salary: On application, and commensurate with experience

About PHMR

Established in 2007, we are a rapidly growing and energetic consultancy – a diverse group of professional scientists, health economists and industry specialists with a proven track record in providing global market access solutions to some of the biggest healthcare industries so that patients get access to medicines. Patients get access to medicines as a result of our work. Our science is internationally renowned, and we are proud of our work.

  • We apply robust scientific approaches and methodologies. Quality science comes first.
  • We combine the expertise of our team together with a worldwide professional network.
  • We continuously learn and improve.
  • 90% of our projects are repeat or referral from our existing customers.
  • The majority of our team are educated to PhD level.
  • We embrace diversity in all its forms.

We also love being part of an engaging, supportive team that combines having fun with striving for high quality science. Our leadership team is always approachable, and we find it easy to work with each other. The variety of our work is both challenging and exciting and helps us achieve our research and career ambitions. PHMR provides flexibility and individual support in order to help make our lives more balanced and enjoyable. We love being part of PHMR.

About the role

We are looking for a talented scientist with the ability to manage, analyse and interpret clinical and economic data to support our clients’ HEOR, pricing and market access strategies. The successful candidate will join our growing team and will be involved in the daily management of PHMR research projects across a wide range of methodological and therapeutic areas, including oncology, infectious disease, cardiovascular disease, diagnostics, and neurological disorders. The position will offer the opportunity to gain experience across the wide portfolio of projects PHMR deliver.

Key responsibilities:

  • Contribute to the design of observational studies, including the development of study protocols
  • Lead the management and analysis of real-world datasets to derive clinically and economically

meaningful outputs

  • Contribute to systematic and targeted reviews of the clinical and economic literature
  • Lead or contribute to the writing of study reports
  • Present insights and perspectives to clients, at internal training courses and in conference


  • Develop and prepare abstracts, manuscripts and/or presentations to conferences for internal and

external projects

Requirements / performance dimensions:
Functional technical expertise


  • MPH, MSc or PhD (or an equivalent degree) in economics, epidemiology, statistics or a related


  • Statistical programming experience in SAS, Stata, or R
  • Ability to effectively manage and juggle between multiple tasks and projects
  • Ability to meet short deadlines with high quality result

Functional technical expertise (continued)

  • Experience of working collaboratively and effectively across teams to accomplish goals
  • Strong written and verbal communication skills, including presentation skills
  • Ability to communicate complex technical issues to non-experts

Excellent command of English, oral and written

Desirable 1 to 3 years of post-graduate work experience designing and executing analyses of databases to

support HEOR, market access or other aspects of drug development

  • Experience working with large electronic health record datasets (e.g. CPRD, THIN, HES, etc.)

Knowledge of basic principles of economics, HEOR and market access

  • Experience in planning and executing indirect treatment comparisons
  • Experience planning and carrying out systematic reviews
  • Medical writing experience
  • Publications in peer-reviewed journals and abstracts in scientific conferences


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