Program Manager, Real-World Evidence (Epidemiologist)

Stryker Group; Newbury; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading medical technology company is seeking a Program Manager, Real-World Evidence in Newbury, UK. This role is responsible for managing the design and execution of RWE studies to support clinical evidence needs, collaborating with cross-functional teams and ensuring data quality. The ideal candidate has a PhD and 8+ years of experience in epidemiology or observational research. Strong data analysis and project management skills are essential for this position. This role offers opportunities for strategic impact and collaboration in a dynamic environment.

Qualifications

• 8+ years relevant experience in epidemiology or observational research.
• Hands-on experience with healthcare real-world data sets.
• Ability to analyze and interpret quantitative data.

Responsibilities

• Oversee design and execution of RWE studies.
• Manage communication with cross-functional teams.
• Ensure scientific rigor and support RWE generation.

Skills

Epidemiology

Observational research

Data analysis

Project management

Education

PhD or equivalent degree

Tools

SAS

R

Stata

Job description

As a Program Manager, Real-World Evidence oversee and manage the design and execution of multiple RWE studies to support clinical evidence needs. Working with key stakeholders, the role will execute on key RWE deliverables, establish standards and best practices for RWE study design and reporting, and support the integration of real-world data sources as an essential part of the clinical evidence generation strategy for Stryker’s product portfolio.

What You Will Do

• Provide strategic insight to evidence required by cross‑functional project teams focused on market access, or sustaining product portfolios. The position will require global clinical insight into launch strategies across multiple regions.
• Manage planning and communication with cross‑functional teams to ensure proper execution and conduct of the clinical studies, leveraging collaborators and stakeholders.
• Lead the design and execution of RWE studies in close collaboration with internal stakeholders from Clinical Strategy, Medical Affairs, Regulatory, HEOR, and Commercial.
• Ensure scientific rigor and serve as a methodology expert for RWE generation; select and implement appropriate analytic methods aligned to research needs.
• Author and/or oversee development of study protocols, reports, abstracts, and peer‑reviewed publications using RWD and collaborate cross‑functionally to integrate RWD into global publication strategies.
• Collaborate closely with data management and biostatistics functions to ensure data quality and deliver robust data analyses utilizing scientifically valid and accepted methodology for RWD.
• Conduct feasibility assessment of relevant data sources for specific devices and indications to ensure data is fit‑for‑purpose.
• Collaborate with academic institutions, health systems, registries and/or other health data partners to identify additional real‑world data sources for medical device evidence generation.
• Ensure quality and performance standards for RWE projects are realistic and attained, and studies are conducted in line with quality/compliance framework.
• Identify areas of improvement with RWE processes and procedures, develop and implement best practices, and work to improve efficiencies and effectiveness.
• Participate in cross‑functional and cross‑divisional initiatives regarding RWE.

What you need

• Degree needed/PHD preferred
• 8+ years relevant experience in epidemiology, pharmacoepidemiology, and/or observational research in academia, a contract research organization, or the medical device or pharmaceutical industry.
• Hands‑on experience with healthcare real‑world data sets such as patient registries, electronic medical records, hospital billing data, and insurance claims databases.
• A basic understanding of the clinical evidence needs in the global regulatory environment for clinical investigation, clinical evaluation, post‑market clinical follow‑up, and product ratings of medical devices and technologies that can be addressed using RWD.
• A sophisticated understanding and ability to analyze and interpret quantitative data, and working knowledge of RWE/observational study design and methodology.

Preferred Qualifications

• Strong knowledge of standard statistical software (e.g., SAS, R, Stata) is preferred and demonstrated ability to collaborate closely with statistical programmers.
• Experience authoring study protocols, study reports, conference abstracts, and peer‑reviewed publications using RWD preferred.
• Well‑developed interpersonal skills and the ability to work well independently as well as with colleagues and customers.
• Strong organizational skills, with the ability to effectively and efficiently handle multiple tasks simultaneously, with precision, and to adapt to changes in responsibilities and workloads.