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 Fellowship is aligned to the MRC Industrial Strategy and the Health Data Research UK (HDR UK) Institute (

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. You will join our established pharmacoepidemiology programmes in cancer and cardiovascular disease which are focused on understanding the real-world effectiveness of new medicines to inform a more stratified approach to 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 HDR UK multidisciplinary peer network and have access to training programmes to promote rapid growth in skills.