Are you an ambitious researcher looking for your next challenge? Do you have an established background in genetics, metabolomics, or 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 low infant birth weight in South Asians in the UK. 

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 nutrients and diet on the association between metabolites and birth weight.

You will have a PhD in Epidemiology, or a closely allied discipline (or be close to completion, i.e. have submitted your thesis before taking up the position), alongside a strong background in genetics or metabolomics. Your research experience will have provided knowledge of the health sciences, with experience analysing large ‘omics data sets (i.e., ‘big data’). 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.
Working Time:  100% - We will consider job share / flexible working arrangements
Post Type:  Full Time
Contract Type:  Fixed Term (for 21 months)    
Closing Date:  Wednesday 18 March 2020
Reference:  ENVFS1008
Downloads:  Candidate Brief