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Senior Scientist (Bioinformatics)

The University of Edinburgh - CMVM - Institute of Neuroscience and Cardiovascular Research

Location: Edinburgh, Hybrid
Salary: £49,559 to £60,907 per annum, pro-rata if part-time (Grade 8)
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 10th April 2025
Closes: 8th May 2025
Job Ref: 12321

Full-time: 35 hours per week

Fixed-term: until 30th 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 senior scientist to plan, manage and implement a programme of high-quality cardiovascular research funded by the British Heart Foundation Research Excellence and (REA4) award, which is positioned to understand and exploit mechanisms of regeneration and repair in cardiac disease. 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 role will include management of staff, including two postdoctoral bioinformatics posts, training and data resources, with the aim of providing high level input into the REA4, implementation of a bioinformatics community, leading to long term bioinformatics infrastructure and resulting impact through, for example, publications of research outcomes in high impact journals.

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 £49,559 - £60,907 per annum.

Your skills and attributes for success: 

  • Experience and demonstrated success in delivering research project results.
  • Experience and achievement in the specialist area, reflected in a growing personal research portfolio.
  • Extensive experience of developing and applying models, techniques and analytical methods as appropriate to answer important questions in cardiovascular research. 
  • Experience in supervision of researchers (staff and/or students).
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