MRC Biostatistics Unit

This is an exciting opportunity for an ambitious post-doctoral research associate to join the MRC Biostatistics Unit to carry out research within the Unit's Precision Medicine theme.

The post-holder will focus on developing and applying statistical or machine learning methods for improving scientific understanding (including causal inferences) and/or prediction for hospital patients using large, rich, raw observational clinical informatics datasets extracted from Electronic Health Records (EHR). The project forms part of the exciting emerging area of real-time precision medicine, which seeks to provide statistical and machine learning tools to optimise each patient's care in real-time.

A particular focus of this position will be EHR data from Addenbrooke's hospital, an internationally-renowned teaching hospital in Cambridge. In 2014 was the first UK hospital to implement Epic's fully electronic health record eHospital system. This provides a single, integrated EHR, with real-time information recorded at the patient's bedside, including observations, blood tests, procedures and medications. We have several on-going and emerging collaborations with clinicians, clinical scientists and other health care professionals at Addenbrooke's hospital seeking to improve scientific understanding of their patients and/or prediction of their clinical trajectory to support clinical decision making. The collaborations span several areas including COVID-19 and Intensive Care Unit delirium. The post holder will continue and further develop these collaborations. They will have the opportunity to take a central role in shaping and refining research questions; extracting and appraising relevant data from the EHR dataset; identifying, developing and applying appropriate analysis methods and tools for answering our collaborators' scientific questions.

Research Associate (Fixed Term) - Job Opportunities - University of Cambridge