Research Associate in Statistics / Epidemiology/ Health Data Science

We are recruiting an ambitious, self-motivated Research Associate to join Dr Palin’s research group focusing on analyzing large-scale, complex maternity data.
The goal is to develop an algorithm, in collaboration with clinical stakeholders, to generate and validate a pregnancy episode. This work will enable clinical research and ultimately help to improve health outcomes for mother and baby.
The successful candidate will work closely with the research team and engage clinical stakeholders to co-develop an open-source, reliable and validated method to identify maternal and fetal health care episodes within the secure data platform.
Minimum Requirements:
Candidates must have, or be about to obtain, a PhD (or equivalent) in Statistics, Epidemiology, Mathematics, Data Science, or related fields.
What you will get in return:
Fantastic market-leading Pension scheme
Excellent employee health and wellbeing services including an Employee Assistance Programme
Exceptional starting annual leave entitlement, plus bank holidays
Additional paid closure over the Christmas period
Local and national discounts at a range of major retailers
As an equal opportunities employer, we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation, and transgender status. All appointments are made on merit.
Our University is positive about flexible working – you can find out more here .
Hybrid working arrangements may be considered.
Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.
Any recruitment enquiries from recruitment agencies should be directed to .
Any CVs submitted by a recruitment agency will be considered a gift.
Enquiries about the vacancy, shortlisting, and interviews:
Name: Dr Williams
Email:
General enquiries:
Email:
This vacancy will close for applications at midnight on the closing date.
Please see the link below for the Further Particulars document which contains the person specification criteria.

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