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University Academic Fellow in Predictive Disease Models

University of Leeds - School of Molecular and Cellular Biology, Faculty of Biological Sciences

Location: Leeds
Salary: £40,792 to £48,677 per annum (Grade 8)
Hours: Full Time
Contract Type: Permanent
Placed On: 28th January 2019
Closes: 10th March 2019
Job Ref: FBSMB1153

Are you an experienced and ambitious researcher looking for your next challenge? Do you have a strong collaborative research background in predictive disease model systems such as iPSC, 3D culture, organoid and synthetic tissue and keen to maximise the translational opportunities that emerge? Do you want to further your career in a World-Leading research-intensive Russell Group University?

With a vision and drive to contribute to a World-Leading research portfolio, as well as a passion for undertaking research-led teaching, you will make a significant impact on the performance, stature and profile of research and student education at The University of Leeds.

The University provides an environment which fosters the highest quality, cross-disciplinary, cutting-edge research to address global health problems and with our associated hospitals, we offer unrivalled opportunities in a broad range of research in the area of biomedicine. This encompasses the full spectrum of translational medicine from state-of-the-art discovery science including internationally recognised excellence in structural biology, bio-imaging, biomedical physics/engineering to experimental medicine, patient phenotyping, medical-informatics and first in man studies through to clinical practice-changing clinical trials. The University is undertaking a major alignment of our biomedical-clinical research integrating research strengths to provide a coherent strategy with inputs to all stages of the ‘patient journey’ from diagnosis to cure. This includes major investment in the highest quality, flexible laboratory space to promote multidisciplinary projects, and the highest level of technical support to facilitate our research platforms.

We have identified a huge opportunity to close the gap between our hospital-based clinical research and the discovery science to develop patient data-driven research projects that promote close collaboration between clinical and basic science researchers. To strengthen these collaborations we would like to recruit University Academic Fellows in the broad area of predictive disease models. These experimentally relevant model systems will be used to explore disease states enabling mechanistic investigation as well as therapeutic innovation and evaluation will form a focal point of our efforts to close the gap between the hospital and the research laboratory.

Career Pathway: Tenure track equivalent post requiring successful completion of a 5 year development plan, leading to appointment to a grade 9 Associate Professor, with the potential for accelerated progression.

   
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