UNIVERSITY OF LEEDS

Research Fellow in Bioinformatics

Location
Leeds, United Kingdom
Salary
£33,797 to £40,322 p.a.
Posted
Thursday, 2 July 2020
End of advertisement period
Wednesday, 15 July 2020
Ref
MHLMR1018
Academic Discipline
Life sciences, Biological Sciences
Contract Type
Fixed Term
Hours
Full Time

Are you an ambitious researcher looking for your next challenge?  Do you have a background in computational cancer biology?  Do you want to further your career in one of the UK’s leading research intensive Universities?

We are seeking an enthusiastic and highly motivated individual to assist in analysis of a variety of molecular data, to develop novel approaches to data analysis and integration and assist in biological interpretation using network and pathway analyses.

You will have a PhD and research experience in genome biology, bioinformatics or other relevant field, expertise in the management and analysis of large genomics datasets and a strong desire to translate genomic information into clinical application.

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

Dr Lucy Stead, Head of Glioma Genomics
Tel: 07903504807 (between 9am and 12pm), Email: l.f.stead@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: Molecular Medicine
Category: Research
Grade: Grade 7
Salary: £33,797 to £40,322 p.a.
Working Time: 100% full-time basis
Post Type: Full Time
Contract Type: Fixed Term (3 years)
Closing Date: Wednesday 15 July 2020
Reference: MHLMR1018
Downloads: Candidate Brief