Job Board Title:
Data Scientist in Environmental Health

Post Date
6/30/2026

Expiration Date
7/30/2026

Details:
Oxford Population Health (Nuffield Department of Population Health) contains world-renowned population health research groups and provides an excellent environment for multi-disciplinary research and teaching. The China Kadoorie Biobank (CKB) Study is a uniquely rich and powerful global resource for investigating the environmental and genetic determinants of common chronic diseases.

We are seeking a talented researcher with enthusiasm for cross-disciplinary environmental epidemiology to join our team for a 7-year Wellcome Trust-funded programme on climate change and health based within the China Kadoorie Biobank. You will work within a multidisciplinary team to develop novel approaches and analyses at the intersection of environmental epidemiology, exposure science, molecular epidemiology, biostatistics, and data science in support of the project\'s aims. See the attached job descriptions for further details.

The position is full time and fixed term for 2 years (in the first instance). The post will be based in Oxford, but hybrid working of up to 40% is available. The closing date for applications is noon on 28 July 2026.

You will be required to upload a CV and a Supporting Statement as part of your online application. The Supporting Statement should include a cover letter and should also clearly describe how you meet each of the selection criteria listed in the job description.

Qualifications:
To be considered for the Data Scientist in Environmental Health post, you will hold PhD (or close to completion) in in biostatistics, data science, environmental epidemiology, or a closely related discipline. You will have experience in conducting quantitative research in environmental epidemiology, with strong quantitative analysis skills and in-depth knowledge of relevant statistical and data science methods, with demonstrated proficiency in relevant statistical programming software. Excellent communication and interpersonal skills are also essential for this role.


Comments:
Expressions of interest and nominations are encouraged. Please direct them to Dr Peter Chan at peter.chan@ndph.ox.ac.uk


Employer:
University of Oxford
Contact:
Peter Chan

Address:
Big Data Institute, Old Road Campus, Roosevelt Drive, OX3 7LF

Work Phone:
NA

Fax:
NA

Email:
peter.chan@ndph.ox.ac.uk

Website:
https://my.corehr.com/pls/uoxrecruit/erq_jobspec_version_4.display_form?p_company=10&p_internal_external=E&p_display_in_irish=N&p_process_type=&p_applicant_no=&p_form_profile_detail=&p_display_apply_i

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