Researcher, Device Data

Medicines and Healthcare products Regulatory Agency; Greater London; Hybrid; GBP 40,000 - 60,000; Full time

Job summary

A government health agency is seeking a Researcher Device Data to join its Safety & Surveillance group. This full-time role, based in London, focuses on utilizing real-world data to enhance medical device safety. Responsibilities include literature reviews, data analysis using programming tools, and communication of findings to senior leadership. Preferred candidates will have a PhD or equivalent experience in epidemiology and practical experience with health-related data sources. This role supports a flexible hybrid working model.

Qualifications

• PhD or equivalent experience in epidemiology or related discipline.
• In-depth understanding of epidemiological principles and practical experience.
• Experience researching health-related data sources.

Responsibilities

• Execute literature reviews on device safety.
• Use programming tools to analyze real-world data.
• Communicate research outcomes to stakeholders.

Skills

Epidemiology

Python

R

Statistical Concepts

Research Experience

Education

PhD or equivalent experience

Tools

SQL

Stata

SPSS

Microsoft Word

Microsoft PowerPoint

Job description

Overview

We are currently looking for a Researcher Device Data to join our Scientific Data & Insight Function within the Safety & Surveillance group. This is a full‑time opportunity on a 12‑month fixed‑term contract/internal move/loan or temporary promotion basis. The role will be based at 10 South Colonnade, Canary Wharf, London E14 4PU; it can only be worked in the UK. We are implementing a flexible hybrid way of working with a minimum of 8 days per month on site, up to 12 days depending on business needs.

About the Agency

The Medicines and Healthcare products Regulatory Agency enhances and improves the health of millions of people through regulation of medicines and medical devices. The Safety & Surveillance portfolio protects the public by identifying, assessing and managing risks associated with medical products. The Scientific Data & Insight function develops analytic capabilities, supports epidemiology, develops new methods for pharmacovigilance and collaborates with external partners.

About the Role

As a Device Data Researcher you will shape the use of real‑world data to support medical device safety. Your research and data analysis will help the Agency make best use of device safety regulatory and master/reference data to protect patient safety and public health efficiently. You will lead data quality and analysis projects, develop novel methods for device epidemiology and communicate complex findings to senior leadership and other stakeholders.

Key responsibilities

• Execute and deliver literature reviews on device safety and surveillance methods globally.
• Use programming tools such as R, Python, Julia or SQL to characterise and analyse real‑world data sources for device safety and surveillance.
• Provide analyses of population demographics for devices in the UK.
• Communicate research outcomes to a wide audience, including senior leaders.

Who are we looking for

• A PhD or equivalent experience in epidemiology, medical statistics or a related discipline.
• In‑depth understanding of epidemiological principles and statistical concepts and practical experience applying them.
• Experience researching with health‑related data sources.
• Competence in using programming tools such as R, Python, Julia or SQL to characterise or analyse health data.
• Proven ability to independently produce focused scientific reviews and presentations.

Application process

1. Online application form (CV blind). 2. Presentation to be prepared for the interview. 3. Interview based on Civil Service Success Profiles (Behaviour, Experience, Technical and Strengths). 4. Initial sift will focus on programming‑tool experience. 5. Successful candidates will complete pre‑employment screening, security checks and may be subject to immigration and occupational health requirements.

Closing dates

Closing date: 23 Nov 2025
Shortlisting date: 24 Nov 2025
Interview date: 03 Dec 2025

Applicants must ensure that all submitted information is factually accurate. Plagiarism, including the use of AI, is prohibited. If you require any disability‑related adjustments, please contact us as soon as possible.

Key Skills

• Intelligence Community Experience
• Python, R, Stata, SPSS
• Regression Analysis, Data Modeling
• Microsoft Word, PowerPoint, Windows
• Research Experience, Writing Skills