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Research Fellow in Epidemiology
Are you an ambitious researcher looking for your next challenge? Do you have an established background in genetics and epidemiology, with an interest in the developmental origins of health and disease (DOHaD)? Do you want to further your career on a multidisciplinary study at one of the UK’s leading research-intensive universities?
The project is funded by Wellcome Trust and aims to identify early maternal predictors of infant birth weight and adult cardiometabolic risk in South Asians and white Europeans.
You will join a diverse team of researchers across nutrition, genetic statistics, and epidemiology to develop and apply novel methodologies to (i) identify and evaluate maternal metabolites that predict birth weight in white European and South Asian newborn and (ii) test the modifying effect of diet on the association between metabolites and birth weight.
You will have a PhD in Nutrition (epidemiology), Genetics, or a closely allied discipline, alongside a strong background in genetics or metabolomics. You will also have knowledge of health sciences, with hands on experience analysing large omics’ data sets (i.e., ‘big data’) and experience working with R and/or PLINK. In addition, you will have excellent time management, planning, and verbal and written communication skills, with an aptitude for working with diverse team members on multi-disciplinary projects.
To explore the post further or for any queries you may
have, please contact:
Dr. Michael Zulyniak, Lecturer of Obesity
Tel: +44 (0)113 343 0685, email: m.a.zulyniak@leeds.ac.uk
Location: |
Leeds - Main Campus |
Faculty/Service: |
Faculty of Environment |
School/Institute: |
School of Food Science & Nutrition |
Category: |
Research |
Grade: |
Grade 7
|
Salary: |
£33,797 to £40,322
p.a.
|
|
Due to external funding restrictions, appointments will not be made above £33,797 p.a. |
Post Type: |
Full Time
|
Contract Type: |
Fixed Term (Fixed-term for 21 months, from January 2020) |
Release Date: |
Tuesday 29 October 2019 |
Closing Date: |
Thursday 28 November 2019 |
Reference: |
ENVFS1002 |
Downloads: |
Candidate Brief
|