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Faculty of Medicine and Health
School of Medicine
Leeds Institute of Health Sciences 
Academic Unit of Health Economics (AUHE)

Research Fellow or Research Assistant
Full time - Fixed term for 3 years

An opportunity has arisen to appoint an academic researcher who will focus on decision analysis and simulation modelling in the context of the early evaluation of personalised medicines, diagnostic tests and medical devices. 

The University of Leeds is at the forefront of UK applied research in this area will provide a strong platform upon which to lay the foundations of a related personal research methodology programme. The applicant will reside within the Academic Unit of Health Economics but will also work with researchers in Health Informatics, Biostatistics, Clinical Trials Research, Clinical Biochemistry, Proteomics, Genomics and Transport Studies. The applicant will be expected to work on the development of new methods for technology appraisal centred on modelling early in the evaluation programme. We are particularly interested in the use of decision modelling for research prioritisation and design, simulation of healthcare pathways and the use of real-time clinical and financial data linkage to improve the performance of such models. 

The position will include opportunities to work with the recently awarded Leeds-based NIHR Diagnostics Evidence Co-operative (http://www.nihr.ac.uk/infrastructure/Pages/DECs.aspx) for which we have adopted a philosophy of decision modelling early in the development pathway for in-vitro diagnostics. The clinical themes for this will include renal diseases, liver diseases, musculoskeletal diseases and cancer. Similar opportunities exist in collaboration with the Leeds-based Health Technology Co-operative for Colorectal Therapies whose themes include engineering, nanotechnology and bio-sensing (http://www.nihr.ac.uk/infrastructure/Pages/HTCs.aspx). It will also be possible to work on projects with the Medical Technologies Innovation and Knowledge Centre (http://www.medical-technologies.co.uk/) and the University of Leeds Stratified Medicine Hub (http://www.leeds.ac.uk/info/125114/stratified_medicine). International collaboration will be an essential component of the position and will include working closely with a multi-million dollar research programme funded by Genome Canada looking at research methods for personalised medicine.

The applicant will be expected to support the further development of our portfolio of technology appraisal, model-based economic evaluation and big-data linkage in cancer genomics, point of care testing and companion diagnostics in collaboration with commercial and academic partners. 

You must have experience or training in the quantitative and computational methods needed for decision modelling including competence with relevant software or programming tools. A suitable background might include economics, business, operations research, informatics, decision science or applied programming. Experience in health economics is desirable but not essential if you can bring alternative valuable skills to the position. 

The University of Leeds is committed to providing equal opportunities for all. The university is a charter member of Athena SWAN and holds the Bronze award.  We will be happy to consider job share applications and are committed to flexible working for all our employees.

Research Assistant - University Grade 6 (£24,766 – £29,541 p.a.); or Research Fellow - University Grade 7 (£30,424-£36,298 p.a.) depending upon qualifications and relevant experience

Informal enquiries regarding the post should be directed Professor Claire Hulme, Head of Unit, Academic Unit of Health Economics, tel: +44 (0) 113 343 0875, Email: [log in to unmask]

If you have any specific enquiries about your online application please contact Sue Davis, Tel + 44 (0) 113 3430831, Email: [log in to unmask]

For further details visit the University of Leeds jobs website and enter the reference

Job Ref:	MHIHS0160				Closing Date: 26 November 2013		

Interviews will be held on Thursday 12th December