Enable job alerts via email!

Research Fellow in Health Data Science

The University of Edinburgh

City of Edinburgh

On-site

GBP 49,000 - 61,000

Full time

16 days ago

Boost your interview chances

Create a job specific, tailored resume for higher success rate.

An established industry player is seeking a passionate research fellow to join a dynamic team focused on advancing cardiovascular care through innovative data-driven solutions. This role offers the opportunity to engage in cutting-edge research, utilizing statistical modeling and machine learning techniques to develop clinical decision-support tools. You'll collaborate with leading experts and contribute to impactful projects that aim to improve patient outcomes. If you're driven by the ambition to make significant contributions to healthcare research and thrive in a collaborative environment, this position is perfect for you.

Ability to use data science programming languages for data analysis.
Experience with statistical software and healthcare data.

Conduct original research using health data for clinical decision-support tools.
Collaborate with a multi-disciplinary research team.

Data Science Programming (R, Java, Python)

Statistical Data Analysis

Statistical Software (R, SAS, STATA)

Experience with Healthcare Data

Grade UE08: £49,559 - £60,907 per annum, pro-rata if part-time

CMVM/Institute of Neuroscience and Cardiovascular Research

Full-time: 35 hours per week

Fixed-term: for 2 years with potential to extend to September 2029

The Opportunity:

The BHF Centre of Research Excellence in Edinburgh is funded by a five-year award from the British Heart Foundation to accelerate our science. By collaborating across disciplines and institutions, we will deliver bold discoveries and foster the next generation of research leaders. We now have a suite of new opportunities in our Centre, and are seeking people with the ideas and ambition to drive forward our work.

We seek a research fellow to work with a multi-disciplinary research team in the delivery of the BHF REA Data-Driven Innovation theme, which is led by Professor Nicholas Mills (British Heart Foundation Chair of Cardiology) and Dr Atul Anand (Reader in Health Data Research). The post-holder will be responsible for conducting and supporting original research, focussing on the use of health data for the development of clinical decision-support tools in acute cardiovascular care using statistical modelling and machine learning techniques.

This post is full-time (35 hours per week); however, we are open to considering part-time or flexible working patterns. We are also open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular on-campus working.

Your skills and attributes for success:

The ability to use mainstream data science programming languages (such as R, Java, Python) for data extraction, transferring and transforming data, and statistical data analysis.
Experience in using one or more statistical software packages (e.g. R, SAS, STATA or similar).
A track record of publications in internationally leading journals and conferences.
Experience working with routine healthcare data.

Salary: £49,559 to £60,907 per annum, pro-rata if part-time.

Get your free, confidential resume review.

or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.