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:
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