×
Register Here to Apply for Jobs or Post Jobs. X

Research Data Officer; Epidemiology

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: THE INSTITUTE OF CANCER RESEARCH
Full Time position
Listed on 2026-06-21
Job specializations:
  • Research/Development
    Clinical Research, Data Scientist, Research Scientist
Salary/Wage Range or Industry Benchmark: 39805 - 50862 GBP Yearly GBP 39805.00 50862.00 YEAR
Job Description & How to Apply Below
Position: Research Data Officer (Epidemiology)
Location: Greater London

Salary: £39,805 - £50,862 per annum. Commencement on the salary range is subject to comparable skills and experience.

Reporting to:
Professor Montserrat Garcia-Closas.

Duration of

Contract:

Fixed Term for 2 years in the first instance, with a view to extension subject to funding.

Hours per week: 35 hours per week (Full Time – Monday to Friday).

Location:

Sutton.

Under the guidance of Professor Montserrat Garcia-Closas, Group Leader Integrative Cancer Epidemiology, Division of Genetics & Epidemiology, we are seeking to recruit an experienced, motivated and organised Research Data Officer to lead the development of high‑quality, research‑ready datasets for large‑scale, integrative epidemiological research within the Generations Study.

This is an excellent opportunity for candidates interested in using innovative data‑driven approaches, working closely with epidemiologists, data engineers, data scientists and biostatisticians, contributing to high‑impact research on cancer risk and prevention, focusing on transforming complex, multi‑modal data (including questionnaire, clinical, imaging, and biomarker data), using modern data methods following FAIR (Findable, Accessible, Interoperable, Reusable) principles to enable robust, reproducible research.

About you

The successful candidate will work closely with data engineers to support data ingestion, structuring, and storage. Will collaborate with analysts and researchers to understand analytical needs and ensure datasets are fit for purpose, and must have:

  • MSc in epidemiology, data science, biostatistics, or a related quantitative field
  • A strong track record of experience working with complex, epidemiological datasets, including programming for data manipulation (R, Python, others)
  • Strong understanding of data structures and data management in research settings, with attention to data quality, documentation, and reproducibility
  • The essential skills as detailed in the person specification on the job description

What we offer

  • A dynamic and supportive research environment
  • Access to state‑of‑the‑art facilities and professional development opportunities
  • Collaboration with leading researchers in the field
  • Competitive salary and pension

The Generations Study is a national cohort of over 110,000 women in the UK followed since 2004. The team uses large‑scale population data to investigate the causes of cancer, understand carcinogenic processes, and improve risk prediction for precision prevention.

At the Institute of Cancer Research, we champion diversity as we believe it fuels innovation and drives impactful research. We welcome applicants from all walks of life, valuing diverse perspectives that enrich our work. We are committed to being an equal opportunity for all, regardless of ethnicity, gender, age, sexual orientation, disability or any other dimension of diversity. Join us in creating an inclusive environment where everyone's voice is heard and valued.

#J-18808-Ljbffr
Note that applications are not being accepted from your jurisdiction for this job currently via this jobsite. Candidate preferences are the decision of the Employer or Recruiting Agent, and are controlled by them alone.
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)
0
200
Filters
Education Level
Experience Level (years)
Posted in last:
Salary