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12319 - Postdoctoral Research Fellow in Bioinformatics

Job details
Posting date: 10 April 2025
Salary: £40,497 to £48,149 per year
Hours: Full time
Closing date: 08 May 2025
Location: Edinburgh, Scotland
Remote working: Hybrid - work remotely up to 4 days per week
Company: University of Edinburgh
Job type: Temporary
Job reference: 12319

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Summary

UE07: £40,497 - £48,149 per annum, pro rata if part time

CMVM / Institute of Neuroscience and Cardiovascular Research

Fixed-Term until 30 September 2029

Full-time: 35 hours per week





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 two postdoctoral researchers to contribute to the management and publishing of work funded by the British Heart Foundation Research Excellence (REA4) award, which is positioned to understand and exploit mechanisms of regeneration and repair in cardiac diseases and others diseases central to the mission of REA4. This will involve analysis of multimodal omics data in cardiovascular remodelling and how to manipulate findings and assess therapeutic gain in models of disease (myocardial infarction etc).

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.

The salary for this post is £40,497 - £48,149 per annum.

Your skills and attributes for success:

Ability to communicate complex information clearly, orally and in writing and with appropriate IT and interpersonal skills.
Experience in relevant approaches and models, analytical techniques and methods (includes practical lab work, data manipulations and subsequent dissemination of research in form of publication), particularly understanding transcriptome informatics.

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