Cancer Research Data Officer (CD3)

Key Information

Reporting to: Professor Montse Garcia-Closas

Duration of Contract: Fixed Term for 3 years in the first instance.

Hours per week: 35 hours per week (Full Time) 

Location: Sutton

Job Details

We are seeking to appoint an experienced Cancer Research Data Officer 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 Cancer Research Data Officer 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 Cancer Research Data Officer 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, a research partnership between The ICR and Imperial College London.

About you

The successful candidate must meet the Person Specifications detailed in the job description and must have a Master’s degree in a relevant quantitative discipline, preferably health data science, biostatistics, epidemiology, or a related field, with strong programming skills and understanding of epidemiological, clinical or health research data.  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

To apply for this role, please click on the 'Apply' button above.