Research Associate (227344)
Salary Range:  £32,236 - £39,609
FTE: 1
Term: Fixed (2 years)
Closing Date: 26 July, 2019

Further Details and application information are available either at
https://www.jobs.ac.uk/job/BTB689/research-associate-to-ukri-innovation-rutherford-fund-fellowship-at-hdr-uk-precision-therapeutics-research-associate
or 
https://strathvacancies.engageats.co.uk  (select science faculty or dept - SIPBS)

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.  At Strathclyde we have invested to create an internationally leading research environment of medicines data scientists.  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. 
 
The Fellowship will focus on cardiovascular disease and interrogating and analyzing increasing deeply phenotyped data including prescribing data 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. Initial work has been exploring Hierarchical Bayesian models for multiple outcome modelling applied to real world data on Direct Oral Anticoagulants (DOACs) and complementary or alternative approaches are welcome. There will be an opportunity to undertake a secondment to explore and test these approaches with one of our international collaborators.   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 HDRUK multidisciplinary peer network and have access to training programmes to promote rapid growth in skills.

Interviews have been scheduled for 14 August 2019.

For informal enquiries, please contact Professor Chris Robertson at [log in to unmask] or on 0141 548 3215; or Professor Marion Bennie (Email: [log in to unmask]) .

You may leave the list at any time by sending the command

SIGNOFF allstat

to [log in to unmask], leaving the subject line blank.