Senior Manager Medical Affairs Evidence Generation

Description

Are you ready to make a groundbreaking impact in the world of biotechnology? Join a growing company that’s shaping the future of healthcare and science.

[Employer hidden — view at passion-project.co.uk] is seeking a Senior Manager to support real-world evidence (RWE) generation within the Medical Affairs team. In this role, you will help design and execute research studies that provide insights into disease patterns, treatment outcomes, and healthcare needs. You will collaborate with cross-functional teams to deliver high-quality evidence that supports regulatory, clinical, and commercial objectives.

Please note that to be considered for this role you must have the right to work in this location.

Responsibilities:

• Help design and conduct studies to understand disease patterns, treatment outcomes, and healthcare needs.
• Support the development of registries and other data sources for use by regulators, payers, and clinicians.
• Assist in creating strategies and methods for using real-world data in research.
• Track and report on project performance using metrics and dashboards.
• Communicate research findings clearly to different audiences, including non-technical teams.
• Manage expectations and ensure alignment with internal and external stakeholders.
• Write study protocols, statistical analysis plans, and reports.
• Provide input for regulatory submissions and respond to questions from regulatory authorities.
• Collaborate with clinical investigators, thought leaders, and advisory boards.
• Work closely with internal teams such as Research, Clinical Operations, Safety, Regulatory, and Commercial.

Key Skills and Requirements:

• A degree in a scientific field (e.g., MSc, PhD, MD, or PharmD) with knowledge of biostatistics, epidemiology, or health economics.
• Experience in designing and managing observational research studies.
• Familiarity with hematology and/or oncology is a plus.
• Knowledge of post-marketing authorization studies (PAS/PMAS).
• Strong skills in analyzing and interpreting real-world data.
• Ability to explain complex research findings in simple terms to diverse teams.
• Proficiency in statistical software (e.g., R, SAS, SPSS, or Stata) and Microsoft Office tools.
• Comfortable working in a dynamic, collaborative environment.

For more information, please contact Seb Rose.

If you are interested in applying to this exciting opportunity, then please click ‘Apply’ or to speak to one of our specialists visit the ‘Contact Us’ page.

[Employer hidden] is a leading life sciences recruiter focused on finding exceptional people and matching them with the finest positions across the globe. [Employer hidden] is acting as an Employment Agency in relation to this vacancy.

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