We are seeking to appoint a motivated Research Data & Systems Engineer to join the Integrative Cancer Epidemiology Team (led by Professor Montserrat Garcia-Closas) and Clinical Cancer Epidemiology Team (led by Professor Amy Berrington) at the ICR Division of Genetics and Epidemiology, to work on a program of research based on the ongoing Generations Study, a national study of over 110,000 women from the UK.
Under the leadership of Professor's Montserrat Garcia-Closas and Amy Berrington, this is an exciting opportunity to join our dynamic and forefront research multidisciplinary team, using epidemiological and real-world data-driven approaches to understand the causes of cancer and how to prevent it. In this role you will help manage and develop the study's infrastructure and operational systems, ensuring efficient processing of multi-source data and contributing to the stability and performance of key systems.
About You
The successful candidate must have a Bachelor's degree, and preferably hold a Master's degree, in computer science, data science, software engineering or related field, who will enjoy working as part of a multidisciplinary team interacting with epidemiologists, biologists, statisticians, data scientists and operational managers. The post will be situated within the Division of Genetics & Epidemiology on the ICRs Sutton campus.
Department/Directorate Information
The Research Data and Systems Engineer will work with the Integrative Epidemiology Team (led by Professor Montserrat Garcia- Closas) and Clinical Epidemiology Team (led by Professor Amy Berrington) at the ICR Division of Genetics and Epidemiology. The Division is internationally renowned for its pioneering work in understanding the underlying genetic and environmental causes of cancer risk. High-quality laboratory, epidemiological and clinical research within the division is driven by energetic, innovative leadership and complemented by participation in national and international research consortiums, clinical collaborations, and technological partnerships.
At the Integrative Epidemiology Team we use integrative analyses of large-scale data in epidemiological studies to investigate the causes of cancer, understand carcinogenic processes and improve risk assessment for precision prevention. At the Clinical Epidemiology Team we use real world data to investigate the late-effects of cancer treatments, cancer survival and cancer risks from other medications. Our work informs prevention and public health strategies at both the population and individual levels to reduce the burden of cancer.
We have a program of research based on the ongoing Generations Study, a national study of over 110,000 women from the UK. Women in the study have provided blood samples and detailed questionnaire information at recruitment, and in repeat follow-up questionnaires. Data includes self- reported risk factor information, hormone levels, genetics, and artificial intelligence (AI) analyses of tissue images from breast tumours, benign breast disease and mammography images. We also access their medical records to collect information on cancer screening and treatments. The scientific staff comprise epidemiologists, statisticians and data scientist who collaborate with researchers around the world.
We are part of the newly formed Cancer Epidemiology and Prevention Research Unit https://www.icr.ac.uk/our-research/centres- and-collaborations/strategic-collaborations/the-cancer-epidemiology- and-prevention-research-unit-(cepru), a research partnership between The ICR and Imperial College London to establish collaborations in research, training and knowledge dissemination in cancer epidemiology and prevention.
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 at [email protected]