Research Fellow (Modelling Risk of Radiation-Associated Malignant) at The University of Manchester

Overall Purpose of the Job:

The Division of Cancer Sciences is seeking to appoint a Research Fellow (fixed term, 36 months) to lead a research project into the genomic epidemiology of neurofibromatosis type 2 (NF2) funded by the US Department of Defense. The project, “Modeling Risk of Radiation-Associated Malignant

Progression in Familial NF2 with Machine Learning”, seeks to identify genomic risk factors for complications of radiotherapy in patients with NF2, using epidemiological and imaging data from a national cohort study, gathering new data from a bank of tumour samples stored in St. Mary’s Hospital, Manchester.

The successful candidate must be able to lead a cross-school collaboration, in addition to having extensive experience of machine learning, mathematical models, software development, and the deployment of bioinformatics pipelines. A proven record of first-author publications on either NF2 or related diseases such as vestibular schwannoma or DiGeorge syndrome is essential. A key goal of this project is the development of a practical free software package that implements an appropriate risk model. Consequently, any experience with image processing software and software dependency management is also highly desirable.

What you will get in return:

• Fantastic market leading Pension scheme
• Excellent employee health and wellbeing services including an Employee Assistance Programme
• Exceptional starting annual leave entitlement, plus bank holidays
• Additional paid closure over the Christmas period
• Local and national discounts at a range of major retailers

As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.

Our University is positive about flexible working – you can find out more here

Hybrid working arrangements may be considered.

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

Any recruitment enquiries from recruitment agencies should be directed to People.Recruitment@manchester.ac.uk.

Any CVs submitted by a recruitment agency will be considered a gift.

Enquiries about the vacancy, shortlisting and interviews:

Name: David Wedge

Email: David.wedge@manchester.ac.uk

General enquiries:

Email: People.recruitment@manchester.ac.uk

Technical support: jobseekersupport.jobtrain.co.uk/support/home

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.