Location: | Bristol |
---|---|
Salary: | £39,745 to £44,737 per annum |
Hours: | Full Time |
Contract Type: | Permanent |
Placed On: | 9th February 2023 |
---|---|
Closes: | 9th March 2023 |
Job Ref: | ACAD106635 |
The role
The MRC Integrative Epidemiology Unit at the University of Bristol is looking to recruit three talented quantitative scientists (from genetic epidemiology / statistical genetics or any related backgrounds) to contribute to the next phase of our exciting program of work. One priority area is to advance from understanding causes of the onset of disease, to the causes of disease progression. Whereas understanding causes of disease onset can inform preventative strategies, disease progression can be governed by very different processes, and these are the processes that could more directly translate to novel therapies. You will also be encouraged to develop your own areas of interest.
Post 1. Causal inference for disease progression to identify novel disease therapies – ACAD106638
Post 2. Genetic risk factors for disease severity in eczema – ACAD106637
Post 3. Enhancing causal inference with molecular data – THIS ROLE
Each post will involve collaboration with international collaborators and access to cutting edge data resources. Our programme of work has an emphasis on research that is informative for drug and intervention development.
The posts will be embedded in a supportive environment that prioritises the development of post-doctoral researchers to independence through established training and mentoring programmes.
What will you be doing?
You should apply if
Additional information
Contract type: Open ended
Work pattern: Full time/ 1 FTE
Grade: J/2
Salary: £39,745 - £44,737 per annum
School/Unit: Bristol Medical School
Shift pattern: Full time/ Flexible
This advert will close at 23:59 GMT on 09/03/2023
For any informal enquiries please contact Eleanor Sanderson: eleanor.sanderson@bristol.ac.uk
We recently launched our strategy to 2030 tying together our mission, vision and values.
Type / Role:
Subject Area(s):
Location(s):