Advanced Care Research Centre

Join us

Any opportunities to join the team at the Advanced Care Research Centre, or within our affiliate programmes, will be posted here.

A summary of any currently available Advanced Care Research Centre vacancies is provided below. Applications usually close at 5pm on the noted date.

Please note that all Advanced Care Research Centre vacancies are advertised on the vacancies section of the University of Edinburgh Jobs website, where it is possible to set up personalised email notifications for future vacancies of interest.​ 

See the University of Edinburgh Jobs website page here. You can also sign up for our newsletter to see vacancies as they are announced.

ACRC Academy Project Manager

Grade UE07: £39,347 to £46,974 per annum.

School of Engineering  / College of Science and Engineering 

Full time: 35 hours per week. 

Temporary: Fixed Term until 31st March 2026

Apply by 24th July

We are looking for an experienced project manager to run the Advanced Care Research Centre Academy, an interdisciplinary Centre for Doctoral Training. We aim to develop the next generation of leaders who will enhance society’s response to the challenges of an ageing population.   

This post is full-time (35 hours per week, however, we are open to considering flexible working patterns), and fixed-term until March 2026. 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, with a minimum of 3 days p/w on campus. 

Your skills and attributes for success: 

  • Project or programme management in a university or similar research or higher education environment. 
  • Experience managing complex projects and deliverables.
  • Ability to establish and maintain a network of personal working relationships across a large complex organisation such as a university. 
  • Collaboration with high profile, external partners to deliver successful research or training programmes.  
  • Ability to think strategically and deal with complex problems.

Click to view a copy of the full job description.

Click here to apply


AIM-CISC is an affiliate programme of the ACRC based in the School of Informatics within the College of Science and Engineering. The AI and Multimorbidity: Clustering in Individuals, Space and Clinical context (AIM-CISC) programme is an ambitious inter-disciplinary programme of research focusing on the application of advanced AI methods to better understand and address the increasing challenge posed to healthcare systems by multimorbidity (when people have multiple chronic conditions).  

Post Doctoral Research Fellow in Statistical Genetics

Apply by 15th July

UE07 £39,347-£46,974

CMVM- Human Genetics Unit/Institute of Genetics and Cancer

Full time 35 hours per week

Fixed Term until 31 March 2025

We are looking for a statistical geneticist with experience in large scale analyses of genomic data to work on a post funded by the National Institute for Health Research (NIHR) that aims are harness the use, integration and interpretation of large or high dimensional genetic and genomic datasets to investigate multi-morbidity. This post focuses on developing of mathematical models to analyse population-wide genetic and environmental factors linked to multimorbid clusters and to identify causal paths of disease progression and aggregation.

The successful candidate will lead a research programme to understand multi-morbidity in human populations. The successful candidate will interact with a large research community within the Artificial Intelligence community, genomics and health research, Visit the AIM CISC website.

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: 

  • Technically proficient in statistical genetics methods (GWAS, LMM, etc)
  • A track record in using or developing instrumental variable methods (e.g. Mendelian Randomization)
  • Extremely good communication skills (written and verbal)
  • Open and collegial
  • Track record in high impact/high quality research publications

Click here for a copy of the full job description, and to apply, click here.