About the role
You will join the Whitehall II research group () and work primarily on data from Whitehall II longitudinal cohort to study the effect of air pollution on dementia. This Wellcome-funded project builds on the well-characterised Whitehall II study with 40 years follow-up and repeated measurements of cardiometabolic biomarkers.
By collaborating with leading environmental epidemiologists (Prof Antonio Gasparrini from LSHTM and Dr Kai Chen from Yale), we have linked modelled daily and yearly averaged air pollution data - to Whitehall II participant data through residential postcode, accounting for moving during the follow-up. The powerful linked dataset combines the individual trajectory of air pollution exposures with cardiometabolic risk factors and cognition from midlife to late life as well as ageing-related disease outcomes including dementia. You will be encouraged and supported to take a lead research role, and to write papers. A full range of duties can be found on the attached job description.
The post is funded until 31 March in the first instance.
Appointment at Grade 7 (£43, - £46, per annum) is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be at Research Assistant Grade 6B (£38, - £41, per annum) with payment at Grade 7 being backdated to the date of final submission of the PhD thesis.
About you
We are looking for a talented scientist with strong quantitative skills in epidemiology， biostatistics, or related quantitative discipline or equivalent research experience. The post holder should have excellent statistical programming skills in R, Stata or similar languages and is expected to have experience in analysing large cohort datasets using appropriate statistical methods. Experience in analysing longitudinal data in ageing or environmental epidemiology would be desirable. Please review the job description before applying, paying particular attention to the essential / desirable criteria, and ensure your experience in these areas is addressed in the application.
Application process:
1. A full job description and person specification can be accessed at the bottom of this page.
2. Please submit a 2-page CV including: Your undergraduate and post-graduate education with your degree class. Employment history. Any publications and your ORCID ID.
3. Please use the personal statement section to explain briefly how you meet essential/desirable criteria outlined in the person specification. Please keep your personal statement under words.
4. Please upload any key transcripts
5. Please do not upload publications or manuscripts. Instead please provide a link or a reference of any publications you have authored.
6. Please do not upload your photograph on your application/CV.
Contact details:
7. If you have any queries about the role, please contact Dr Simon Chen at .
8. If you need reasonable adjustments or a more accessible format to apply for this job online or have any queries about the application process, please contact
What we offer
As well as the exciting opportunities this role presents, we also offer some great benefits some of which are below:
9. 41 Days holiday (including 27 days annual leave 8 bank holiday and 6 closure days)
10. Defined benefit career average revalued earnings pension scheme (CARE)
11. Cycle to work scheme and season ticket loan
12. On-Site nursery
13. On-site gym
14. Enhanced maternity, paternity and adoption pay
15. Employee assistance programme: Staff Support Service
16. Discounted medical insurance
The full range of staff benefits can be found here: