Research Fellow

Institute of Cardiovascular Science

departnent athena award

UCL, Gower Street, London, UK

Overview

  • Posted on: 04th Nov 2021
  • Salary: £36,770 per annum
  • REF: 1880155
  • Closes: 18th November 2021
  • Contract Type: Permanent
  • Hours: Full Time

Duties and Responsibilities

We are seeking an ambitious data scientist to join a team of researchers in the Centre for Paediatric Inherited and Rare Cardiac Disease Research Group at the UCL Institute of Cardiovascular Science. The role will utilise machine learning techniques to correlate deep clinical phenotype data with biochemical markers.

The successful candidate will play an important role in an ongoing biomarker discovery project, which has the following aims:

To characterise the biochemical features of early disease expression in paediatric hypertrophic cardiomyopathy (HCM);

To identify novel panels of biomarkers of disease expression and progression and determine pathophysiological mechanisms underlying these processes;

To correlate deep clinical phenotype data with biochemical markers using machine learning techniques.

You will work to correlate novel biomarkers with conventional clinical and biochemical markers of disease severity measured at the time of sample collection. This analysis will be used to stratify disease according to clinical phenotype and to evaluate the efficacy of these markers against existing markers. Analysis will be performed in collaboration with the Great Ormond Street Hospital Digital Research Environment (DRE) team and the UCL Institute of Health Informatics (Prof Paul Taylor). Emulating our previous work on adult HCM, you will build a novel paediatric specific HCM biomarker panel, using machine learning and bioinformatic techniques.

This role is funded by Action Medical Research to 31st October 2022 in the first instance.

Key Requirements

You will have a PhD in computer science, machine learning, genetic epidemiology, bioinformatics or related discipline and have strong programming skills. Experience in machine learning is essential, and the candidate must be able to demonstrate an understanding of how this would be applied in the context of electronic health records (but experience of such application is not essential).

You will be a post-doc who thrives on an inter-disciplinary research environment, and you will be jointly supervised by Dr Juan Pablo Kaski (Centre for Paediatric Inherited and Rare Cardiovascular Disease, UCL Institute of Cardiovascular Science), Professor Paul Taylor (UCL Institute of Health Informatics) in the Institute of Health Informatics and Professor Kevin Mills (UCL, Institute of Child Health). The wider research team includes Clinical Research Fellows, Research Nurses and Research Assistants.

Further Details

A job description and person specification can be accessed at the bottom of this page.

To apply for the vacancy please click on the Apply Now button below.

If you have any queries regarding the vacancy, please contact Jane Johnson, jane.johnson@ucl.ac.uk (020 7670 5700).

UCL Taking Action for Equality

Closing Date

18 Nov 2021

Latest time for the submission of applications

23:59

Interview date

TBC

Our department holds an Athena SWAN Silver award, in recognition of our commitment and demonstrable impact in advancing gender equality.

This appointment is subject to UCL Terms and Conditions of Service for Research and Support Staff.

Please use these links to find out more about UCL working life including the benefits we offer and UCL Terms and Conditions related to this job.

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