Research Fellow in Health Technology Assessment and Modelling
To start 21st November through to 13th February 2023
There is also a second project from the 14 March 2023 through to 23 May 2023
Hybrid working - will need to attend meetings on site
Hourly rate: £17/hr to £22/hr
Based in Southampton - main university campus (when on site)
Mon to Fri - fulltime hours - can be flexible
The University offers an environment that is rich in experiences. It is a hub of activity where your day-to-day role feels purposeful and connected to the environment around you.
We are looking for someone to work as part of the Health Economic and Modelling team on Technology Assessment Review projects for the National Institute for Health and Care Excellence (NICE): critically appraising evidence and models; conducting analysis to explore alternative scenarios and uncertainties; report writing; and interacting with NICE staff and committees and other stakeholders. With a knowledge of HTA.
To contribute to the development and delivery of other funded research as needed: collating evidence, analysing data; building models; and sharing and discussing findings.
Representing SHTAC at meetings with TAR stakeholders (NICE, clinicians, patient groups and manufacturers), NICE appraisal committee meetings and other meetings as necessary.
- Assisting with planning and co-ordination, with associated administrative tasks;
- Identifying and liaising with experts in the topic area;
- Literature searching and critical appraisal of evidence of cost effectiveness evidence (including independent assessment of company submissions);
- Synthesis of evidence and exploration of uncertainty through statistical meta-analysis and decision modelling;
- Writing reports to NICE and papers for submission to peer review journals;
You will possess the following skills:
A PhD (or equivalent qualification or experience) in a relevant numerate and analytical discipline, such as economics, statistics, operational research or epidemiology
Ability to understand, critique, analyse and interpret complex data and apply to real life decision problems
Advanced knowledge and skills in the use of Excel for analysis. Excellent general IT knowledge and skills, including Word, PowerPoint and reference management software (e.g. EndNote).
Excellent oral and written communication skills
Ability to work with people from a wide variety of academic disciplines and other backgrounds
Able to present research results at group meetings and conferences
Able to write up research reports and papers for peer-reviewed academic journals
Please be aware this advert will remain open until the vacancy has been filled. Interviews will take place throughout this period, therefore we encourage you to apply early to avoid disappointment.
Tate is acting as an Employment Business in relation to this vacancy.
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