The closing date for this job has now passed.

Job reference: BMH-015573
Salary: £32,816 to £40,322 per annum (according to relevant experience)
Faculty/Organisational Unit: Biology, Medicine Health
Location: Oxford Road, Manchester
Employment type: Fixed Term
Division/Team: Population Health, Health Services Research & Primary Care
Hours Per Week: Full Time
Closing date (DD/MM/YYYY): 19/10/2020
Contract Duration: ASAP for 3 Years
School/Directorate: School of Health Sciences

Job Description

The Centre for Biostatistics is seeking to appoint to the Biostatistics Collaboration Unit. The purpose of the post is to deliver biostatistics input to high quality collaborative research across the Faculty of Biology, Medicine and Health. You will have experience of applying statistics in a variety of collaborative, health-related research projects and a broad knowledge of modern statistical methods.

The post will include research funded by the British Heart Foundation and the Alan Turing Institute to work on causal networks of hypertension. This work will help target diagnostic biomarkers and therapeutic treatments for hypertensive and cardiovascular medicine. The role will involve developing a machine learning approach to causal networks, evaluating the approach using simulated data and investigating biological causal mechanisms underlying hypertension at the molecular level from large-scale genome-wide association studies and quantitative trait locus studies.

You will hold a PhD in Mathematics, Statistics, Machine Learning or a closely related field, with the ability to program in statistical language (for example, R, SAS, Python) and experience of analysing large-scale data. 

The School is strongly committed to promoting equality and diversity, including the Athena SWAN charter for gender equality in higher education. The School holds a Silver Award which recognises their good practice in relation to gender; including flexible working arrangements, family-friendly policies, and support to allow staff achieve a good work-life balance. We particularly welcome applications from women for this post. All appointment will be made on merit. For further information, please visit:

https://www.bmh.manchester.ac.uk/about/equality/

Previous applicants need not apply

Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.

Enquiries about the vacancy, shortlisting and interviews:

Name: Jamie Kirkham

Email: jamie.kirkham@manchester.ac.uk

Or

Name: Dr Hui Guo

Email: hui.guo@manchester.ac.uk

General enquiries:

Email: hrservices@manchester.ac.uk

Technical support:

Email: universityofmanchester@helpmeapply.co.uk

Tel: 0161 850 2004


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.


Take a look around the company https://www.manchester.ac.uk/