Data Engineer/Wrangler (CD3)

We are seeking to appoint an experienced Data Engineer/Wrangler to work within the Cancer Data Driven (CD3) Programme, to join our dynamic and forefront research group using epidemiological cohort data approaches to understand the causes of cancer and how to prevent it.  

Under the leadership of Professor's Montserrat Garcia-Closas 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 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.

As a Data Engineer/Wrangler you will clean, transform, and integrate complex, multi-source data from large-scale epidemiological and real-word data. Your work will ensure data readiness for research, in collaboration with a multidisciplinary team of epidemiologists, statisticians, data scientists and data managers.

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 re-use to advance science.

About the Cancer Data Driven Detection (CD3) Programme

The Data Engineer/Wrangler will work within the Cancer Data Driven (CD3) Programme. CD3 is a new, multidisciplinary and multi-institutional strategic national research programme dedicated to using data to transform our understanding of cancer risk and enable early interception of cancers. It represents a major, multi-million-pound flagship investment funded through a strategic programme award by Cancer Research UK, the National Institute for Health and Care Research (NIHR) and the Engineering and Physical Sciences Research Council (EPSRC); and the Peter Sowerby Foundation; in partnership with Health Data Research UK (HDR UK) and the Economic and Social Research Council’s Administrative Data Research UK programme (ADR UK).

The successful candidate will work under the supervision of Professor Montserrat Garcia-Closas at the Integrative Epidemiology Team at The ICR and the Cancer Epidemiology and Prevention Research Unit (CEPRU), a research partnership between The ICR and Imperial College London.

About you

The successful candidate must have a Master’s degree in computer science, biostatistics, data science or epidemiology and preferably hold a PhD degree in epidemiology, biostatistics, or data science, 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.

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: montse.garcia-closas01@icr.ac.uk

Please complete your application via the ‘Apply’ button above.

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