Postdoctoral Data Scientist

University of Oxford

We have an exciting opportunity for Postdoctoral Data Scientist to join a Pharmaco- and Device epidemiology research group led by Professor Daniel Prieto-Alhambra at the Botnar Research Centre, NDORMS, University of Oxford. The NDORMS Pharmaco- and Device epidemiology research group is involved in a number of national and international studies exploring the conditions of use (adherence, compliance, off and on-label use) of a number of licensed drugs, devices, and vaccines for the prevention and treatment of human disease in ‘real world’ (routine practice) conditions.

As a Postdoctoral Data Scientist you will develop analysis plans, protocols, ethical (and similar panel) submissions, governance and regulatory submissions as required for ongoing and future studies. You will generate and analyse OMOP-mapped real world health data assets, adapt existing and develop new research methodologies and materials. You will carry out collaborative research projects with colleagues in partner institutions and report research findings in the form of conference abstracts at national and international conferences.

You will hold a Doctoral (or be near completion) degree in clinical epidemiology, medical statistics, biostatistics, or health data sciences. Demonstrable advanced skills and expertise in R programming, previous experience analysing real world data in the OMOP format and good track record of peer reviewed scientific publications are essential. Experience in propensity score/s, instrumental variable/s, and/or other methods to adjust for confounding for indication in pharmaco-epidemiological studies designing and experience of conducting cohort, self-controlled, and similar studies are desirable.

This is a full-time fixed-term appointment for 2 years.

The closing date for this position is 12 noon on 14 August 2023. You will be required to upload a CV and supporting statement as part of your online application.

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