Research Fellow or Senior Research Fellow in Population Health/Data Science/Genetic Epidemiology

About the role

The post holder will undertake quantitative research using large-scale population level datasets. They will plan and execute analyses and lead the interpretation, write-up, and dissemination of results for communication to public health, educational, and clinical audiences. Appointment details:
• The post is graded on the non-clinical research staff Pay Scale Grade 7 or 8, the annual salary ranges from £44, to £51, for Grade 7 and to £54, to £63, for Grade 8 per annum (including London Allowance).
• The appointment is available immediately and is funded for two years in the first instance.
Role-specific details:
• Research Fellows - Appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be at Grade 6B (salary £38, - £41, per annum) with payment at Grade 7 being backdated to the date of final submission of the PhD Thesis.
•Senior Research Fellows - Appointment at Grade 8 depends upon meeting the essential and desirable criteria in the job description

About you

You will have an PhD in a relevant discipline (, epidemiology, genetics, genetic epidemiology, psychology, medical statistics, statistics, data science, econometrics, health informatics or similar), with a keen interest in applications on complex statistical, prediction and computational models to the analysis of large data sets. You are comfortable using statistical software tools and potentially have some experience running applications in large computer clusters and coding in bash.
Application process:
• A full job description and person specification can be accessed at the bottom of this page.
• Please use the personal statement section to explain how you meet each essential and desirable criteria outlined in the person specification.
• Please ensure your CV is no longer than 2 pages, and include published peer-reviewed papers.
• Please do not upload any additional documents (transcripts, papers, or other reports). • Please do not upload your photograph on your application/CV.
• The advert will close on 04/06/ at 23:59 GMT/BST, however we may close the advert early if we receive a high volume of applications.
• Interviews will be held week commencing 07/07/ Contact details:
• If you have any queries about the role, please contact Prof Neil Davies at or .
• 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: • 41 Days holiday (including 27 days annual leave 8 bank holiday and 6 closure days)
• Defined benefit career average revalued earnings pension scheme (CARE)
• Cycle to work scheme and season ticket loan
• Electric car leasing scheme
• On-Site nursery
• On-site gym
• Enhanced maternity, paternity and adoption pay
• Employee assistance programme: Staff Support Service
• Discounted medical insurance The full range of staff benefits can be found here: