Can you provide technical support to exciting research projects in ovarian and breast cancers? Are you looking to broaden your horizons and contribute to projects with a commercial edge?

This is an exciting opportunity in the Women’s Health Research Group that will involve supporting our programme of research involving digital image analysis and novel biomarker discovery of breast and ovarian cancers for one of our US-based commercial partners (TriStar). This project aims to develop machine learning-based approaches to diagnostics and prognostication and to identify new prognostic biomarkers for drug development.

With a BSc degree in a relevant biomedical field (or an equivalent qualification), you will have substantial laboratory work experience in histopathology, a keen interest in biomedical research and will be a well-organised individual. You will be encouraged to develop your initiative and independence. The post is located in the Wellcome Trust Brenner building at St. James’s University Hospital.

To explore the post further or for any queries you may have, please contact: 

Dr Nic Orsi, Clinical Lecturer in Histopathology

Email: n.m.orsi@leeds.ac.uk

OR

Dr Michele Cummings, Research Fellow

Email: medmic@leeds.ac.uk

Further Information

The University of Leeds is committed to providing equal opportunities for all and offers a range of family friendly policies. The University is a charter member of Athena SWAN and holds the Bronze award. The School of Medicine holds the Gold Award.  We are committed to being an inclusive medical school that values all staff, and we are happy to consider job share applications and requests for flexible working arrangements from our employees.

Location: Leeds - St James University Hospital
Faculty/Service: Faculty of Medicine & Health
School/Institute: Leeds Institute of Medical Research (LIMR)
Section: Pathology & Data Analytics
Category: Technical Support
Grade: Grade 5
Salary: £23,067 to £26,715 p.a.
Working Time: Full-time 100%
Post Type: Full Time
Contract Type: Fixed Term (6 months)
Closing Date: Tuesday 18 August 2020
Interview Date: Monday 24 August 2020
Reference: MHLMR1020
Downloads: Candidate Brief