UKRI Innovation/Rutherford Fund Fellowship at HDR UK - Precision Drug Therapeutics: Risk Prediction in Pharmacoepidemiology (101505)

University of Strathclyde - Strathclyde Institute of Pharmacy and Biomedical Sciences

FTE: 1
Term: Fixed (3 years)
Closing Date: 05/10/2018

The Strathclyde Institute of Pharmacy and Biomedical Sciences (SIPBS) in conjunction with the Department of Mathematics and Statistics seeks to appoint a Research Associate to join our expanding Pharmacoepidemiology research program.

This new Fellowship is aligned to the MRC Industrial Strategy and connected to the newly established Health Data Research UK (HDR UK) Institute (https://www.mrc.ac.uk/about/institutes-units-centres/uk-institute-for-health-and-biomedical-informatics-research/).

At Strathclyde we have invested to create an internationally leading research environment of medicines data scientists which is part of the UK Farr Institute of Health Informatics Research (http://www.farrinstitute.org/), a research consortium committed to delivering high-quality, cutting-edge research using ‘big data’ to advance the health and care of patients and the public.

Our reputation and increasing partnerships and networks (including Sweden, Brazil, Kenya, South Africa) are focused on maximising the use of established and new (phenotypic and bio-resource) health data to create the next generation of clinical decision support (CDS) tools in routine clinical care. You will join two of our established pharmacoepidemiology programmes in cancer and cardiovascular disease focused on understanding the real-world effectiveness of new medicines to inform a more stratified approach to clinical care.

The Fellowship will focus on interrogating and analyzing deeply phenotyped data on prescribing linked to health status to inform both treatment choice and predict treatment outcome – effective therapy coupled with minimal adverse events. The successful candidate will use various data science algorithms, including advanced statistical modelling in addition to novel machine learning techniques, to build predictive models of both treatment outcomes and adverse events.

It will be necessary to develop methods to assess the precision and incremental value of additional datasets and automated approaches to tailor and optimize algorithms for subgroups of patients. The output will be used to create digital CDS tool prototypes engaging our established clinical-academic networks in the design process ready for evaluation through the MRC Complex Intervention Framework.

You will join a vibrant HDR UK multidisciplinary peer network and have access to training programmes to promote rapid growth in skills.

You will be educated to a minimum of a 2:1 Degree and have a PhD (or equivalent professional experience) in an appropriate discipline. Previous research experience in pharmacoepidemiological methods and risk statistical modelling is desirable. You will have: a genuine desire for the research area; good communication skills, the ability to work both within a NHS and academic environment; and the motivation to contribute towards identifying and/or securing additional support for Knowledge Exchange and research opportunities for the University of Strathclyde.

Formal interviews for this post will be held on Thursday, 18 January 2018.

Informal enquiries about the post can be directed to Prof Marion Bennie, Professor of Pharmacy and Pharmacoepidemiology (marion.bennie@strath.ac.uk or Prof Chris Robertson, Professor of Public Health Epidemiology (chris.robertson@strath.ac.uk),

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