We are seeking to appoint an experienced Data Engineer who 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, to design, implement and document data architecture and data modelling solutions for analyses of large-scale epidemiological and real-world data.
The Data 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
We encourage all applicants to access the job pack attached for more detailed information regarding this role.
The successful candidate should have a Bachelor's degree in computer science, data science, information technology or related discipline with a similar Master's degree being desirable.
As a Data Engineer you will be responsible for designing, developing, and maintaining the data infrastructure that supports our research initiatives, with a particular focus on handling sensitive data. You will collaborate with multidisciplinary teams of epidemiologists, statisticians, data scientists and data managers to ensure that data is available, reliable, and secure for various research projects.
This is an exciting opportunity to play a crucial role in the creation of end-to-end data management and processing solutions, according to FAIR (Findable, Accessible, Interoperable and Re-usable) principles to support efficient and secure research data resuse to advance science.
jobs.icr.ac.uk/vacancies/788/data-engineer-research-and-real-world-data.html