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- Tasks: Lead real-world evidence studies and collaborate with cross-functional teams to shape medical strategy.
- Company: Global life sciences organisation focused on innovative research.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact in healthcare by driving data-driven insights and strategies.
- Qualifications: Advanced scientific degree and experience in epidemiology or observational research.
- Other info: Dynamic role with exposure to complex therapy areas and strong career development potential.
The predicted salary is between 48000 - 72000 ÂŁ per year.
A global life sciences organisation is seeking a Senior Manager specialising in Real‑World Evidence Generation to support the development of high‑quality observational research within its Medical Affairs function. This role supports evidence needs across several complex therapy areas and plays a key part in shaping data‑driven medical strategy.
About the Role
You will contribute to the development, execution, and interpretation of real‑world evidence studies, partnering closely with cross‑functional teams including Clinical, Regulatory, Safety, Insights and Market Access. The position involves designing observational study concepts, guiding analytical approaches, and translating results into actionable insights for internal and external stakeholders. This is a hands‑on scientific role suited to someone who enjoys both methodological work and medical‑affairs‑aligned evidence strategy.
Key Responsibilities
- Develop and refine study concepts such as incidence, prevalence, burden‑of‑illness and natural‑history research.
- Provide operational and scientific support for real‑world evidence projects, including registries and post‑authorisation‑aligned research.
- Contribute to methodological strategies, including historical control approaches and other observational study designs.
- Create and maintain dashboards, metrics and tracking tools for RWE projects.
- Write and review study documentation: protocols, SAPs, study reports and related materials.
- Translate complex analytical results into clear messages for internal teams and external experts.
- Support evidence contributions for regulatory or health‑technology‑related interactions.
- Engage with investigators, advisory groups, scientific leaders and cross‑functional project teams.
Essential Qualifications
- Scientific degree (e.g., MSc, PhD, MD, PharmD or equivalent).
- Background in epidemiology, biostatistics, outcomes research or a closely related field.
- Experience in observational research design and real‑world evidence generation.
- Ability to interpret analytical outputs and provide scientifically rigorous insight.
- Strong communication skills with the ability to adapt messages to technical and non‑technical audiences.
- Familiarity with statistical tools (e.g., R, SAS, SPSS, Stata).
Preferred Experience
- PhD in epidemiology, biostatistics, HEOR or health services research.
- Experience working with complex therapy areas (e.g., immunology, oncology, rare diseases or chronic conditions).
- Exposure to post‑authorisation or post‑launch evidence requirements.
- Experience conducting or reviewing systematic literature reviews.
- Strong publication experience or scientific writing background.
- Ability to work effectively within a dynamic, matrixed environment.
Senior Manager (Data Management and Training) in City of London employer: i-Pharm Consulting
Contact Detail:
i-Pharm Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Manager (Data Management and Training) in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the life sciences field, especially those who work in real-world evidence generation. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Prepare for interviews by brushing up on your epidemiology and observational study methods. We recommend creating a cheat sheet of key concepts and examples from your past experiences to showcase your expertise during the interview.
✨Tip Number 3
Don’t forget to follow up after interviews! A quick thank-you email reiterating your interest in the role and highlighting a key point from your conversation can keep you fresh in their minds.
✨Tip Number 4
Apply through our website for the best chance at landing that Senior Manager role! We’re always on the lookout for talent that fits our needs, and applying directly can help us see your application sooner.
We think you need these skills to ace Senior Manager (Data Management and Training) in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Manager role. Highlight your background in epidemiology and real-world evidence generation, as well as any relevant projects you've worked on.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your experience aligns with the responsibilities outlined in the job description. Be sure to mention your ability to translate complex data into actionable insights.
Showcase Your Communication Skills: Since strong communication is key for this position, make sure to demonstrate your ability to adapt messages for different audiences in your application. Whether it's through your CV or cover letter, let us see how you can engage both technical and non-technical stakeholders.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at i-Pharm Consulting
✨Know Your Stuff
Make sure you brush up on your knowledge of epidemiology and observational study methods. Be ready to discuss specific examples from your past work that demonstrate your expertise in real-world evidence generation.
✨Showcase Your Communication Skills
Since this role involves translating complex data into clear insights, practice explaining your previous projects in simple terms. Think about how you can adapt your message for both technical and non-technical audiences.
✨Prepare for Cross-Functional Collaboration
This position requires working closely with various teams. Be prepared to discuss how you've successfully collaborated with clinical, regulatory, or market access teams in the past. Highlight any specific projects where teamwork was key.
✨Bring Your Analytical Tools Knowledge
Familiarity with statistical tools is essential. Be ready to talk about your experience with R, SAS, or other software. You might even want to prepare a brief example of how you've used these tools to derive insights from data.