Post-Doctoral Research Associate

University of Lincoln
March 05, 2024
Offerd Salary:£37,099
Working address:N/A
Contract Type:fixed term for 36 mo
Working Time:Full time
Working type:N/A
Ref info:N/A
Post-Doctoral Research Associate School of Chemistry

Location: Lincoln Salary: From £37,099 per annum Please note, this post is fixed term for 36 months, and full time at 1.0 FTE. Closing Date: Tuesday 05 March 2024 Interview Date: Friday 15 March 2024 Reference: CHS096

We are seeking a highly motivated and enthusiastic Post-Doctoral Research Associate to join our team and contribute to a cutting-edge research project funded by Diabetes UK.

This exciting project will involve the application of machine learning techniques, advanced statistical methods, and data science approaches in genetics and precision medicine. You will collaborate with a diverse, international team to lead research projects integrating genetics, metabolic biomarkers, and data from MRI scans of body composition to unveil obesity subtypes, and then investigate their connections to type 2 diabetes, heart disease, hypertension, and various cardiometabolic and non-cardiometabolic conditions. Your goal is to predict risk profiles and responses to diverse weight management interventions, contributing to the advancement of precision medicine in obesity care.

You will need to have a PhD in computer science, statistical genetics, data science, or a related field, however we will also consider candidates with an MSc degree in these fields and industry experience working on similar projects. It is essential that you are proficient in coding using Linux, R, Python, or similar programming languages.

Join our dynamic and collaborative team, working at the forefront of data science, genetics, and precision medicine research. This is an excellent opportunity for a passionate researcher to contribute to ground-breaking projects with the potential for significant impact.

Informal enquiries are welcome and should be made to Dr Hanieh Yaghootkar at [email protected].

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