Company

University Of OxfordSee more

addressAddressOxford, Staffordshire
type Form of work- Full-time, Fixed term contract
salary Salary£36,024 - £38,205 a year
CategoryEducation

Job description

Oxford Population Health (Nuffield Department of Population Health) contains world-renowned population health research groups and provides an excellent environment for multi-disciplinary research and teaching.
We are currently seeking a talented and highly motivated postdoctoral researcher interested in developing large blood-based (biobank) prospective studies with a particular interest in adiposity, physical activity and cardiometabolic diseases.
The postholder will be a key collaborative link between the Nuffield Department of Population Health, University of Oxford, the Centre for Cancer Epidemiology at the Tata Memorial Centre in Mumbai and the National University of Malaysia’s Molecular Biology Institute at the (UMBI).
The post will suit an ambitious researcher with a particular interest in adiposity, physical activity and cardiometabolic disease, who is interested in applying their skills in developing resources, data integration and statistics to advance understanding of environmental, social, lifestyle and genetic risk factors for non-communicable disease.
The primary role of the postholder will work on the analysis and interpretation of detailed complex data as well as the development of innovative follow-up methods primarily in two large prospective biobank studies – the Indian Study of Healthy Aging (ISHA) and The Malaysian Cohort (TMC) study. The postholder will also be expected to contribute to sub-studies aimed at more deeply phenotyping the cohorts.
To be considered for the role you will hold a PhD/DPhil in statistical epidemiology (or be close to completion). You will have demonstrated experience of the design and analysis of large prospective biobank studies in diverse populations incorporating complex data and strong quantitative analysis skills, using statistical programming packages such as Stata, SAS and R. The ability to assimilate rapidly new software, scientific, medical and statistical concepts would be desirable.
The post is full time and fixed term for 3 years in the first instance.
The closing date for applications is noon on 9 April 2024.
You will be required to upload a CV and a cover letter as part of your online application. The cover letter should clearly describe how you meet each of the selection criteria listed in the job description.
Refer code: 3113125. University Of Oxford - The previous day - 2024-03-31 06:42

University Of Oxford

Oxford, Staffordshire
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