£50,862 Per year
Undetermined
Undetermined
Sutton, England, United Kingdom
Summary: The Research Data Officer will lead the development of high-quality, research-ready datasets for large-scale epidemiological research within the Generations Study, under the guidance of Professor Montserrat Garcia-Closas. This role requires collaboration with data engineers, analysts, and researchers to ensure datasets meet analytical needs while adhering to FAIR principles. The successful candidate will have a strong background in epidemiology, data science, or biostatistics, and will contribute to impactful cancer research. This is a fixed-term position for two years, with potential for extension based on funding.
Key Responsibilities:
- Lead the development of research-ready datasets for epidemiological research.
- Collaborate with data engineers to support data ingestion, structuring, and storage.
- Work with analysts and researchers to ensure datasets are fit for purpose.
- Utilize innovative data-driven approaches to transform complex, multi-modal data.
- Ensure adherence to FAIR principles for robust and reproducible research.
Key Skills:
- MSc in epidemiology, data science, biostatistics, or a related quantitative field.
- Experience working with complex epidemiological datasets.
- Proficiency in programming for data manipulation (R, Python, others).
- Strong understanding of data structures and management in research settings.
- Attention to data quality, documentation, and reproducibility.
Salary (Rate): £50,862 per annum
City: Sutton
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
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
Closing Date : 30th June 2026
Due to the high volumes of applications we receive, we reserve the right to close the advert before the published closing date once we have received a sufficient number of applications. Therefore, we advise that you to submit your application as early as possible to avoid disappointment.
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
Department/Directorate Information
The Integrative Epidemiology Team at The Institute of Cancer Research led by Professor Garcia-Closas is located at the ICR Sutton Campus. The team forms part of the Cancer Epidemiology and Prevention Research Unit (CEPRU), a joint initiative between the ICR and Imperial College London focused on advancing cancer epidemiology through interdisciplinary research and training. The team uses large-scale population data to investigate the causes of cancer, understand carcinogenic processes, and improve risk prediction for precision prevention. A central resource for the team is the Breast Cancer Now Generations Study, a national cohort of over 110,000 women in the UK followed since 2004. Research in the team combines epidemiology and biostatistics with emerging approaches in data science, including analyses of mammography and pathology images and integration of multi-modal data.
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
We encourage all applicants to access the job pack attached for more detailed information regarding this role. For an informal discussion regarding the role, please contact Professor Montserrat Garcia-Closas via email.
Why work for us?
As a member of staff, you'll have exclusive access to a range of staff benefits. The ICR is committed to supporting overseas applicants applying for roles, please click here to find out further information. The Institute of Cancer Research, London, is one of the world's most influential cancer research institutes, with an outstanding record of achievement dating back more than 100 years. Further information about working at the ICR can be found here.
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. Don't let a checklist of qualifications hold you back – if you're passionate about the role, we want to hear from you. Your unique experiences and backgrounds contribute to the richness of our team. 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.