Senior Data Analyst

UE08: £49,250 to £60,321

CMVM / Institute for Regeneration and Repair / Centre for Inflammation Research  

Full-time: 35 hours per week 

Fixed-term: to 30 November 2026

We are looking for an exceptionally talented and motivated Senior Data Analyst to join the Baillie Laboratory (www.baillielab.net), led by Prof Kenneth Baillie at the Baillie Gifford Pandemic Science Hub. 

The Opportunity:

The Baillie Lab is an interdisciplinary team of dedicated and highly capable people, focused on using genetics to find new therapies and treatments for critically ill patients. The team has made several contributions that have already improved medical practice. This includes using genetics to find the cause of unknown hepatitis in children (Nature, 2023a; Nature, 2023b) and identifying 49 genetic variants underlying with critical illness in COVID-19 (Nature, 2023; Nature, 2022). 

The Baillie Lab run several large-scale projects and studies including GenOMICC (www.genomicc.org), ISARIC4C (www.isaric4c.net) and the Outbreak Data Analysis Platform (www.odap.ac.uk). The Baillie Lab also leads on the Edinburgh Molecular Mechanisms Cluster (EMMC) – a key cluster in the UKRI’s Human Functional Genomics Initiative (https://www.ukri.org/news/28-5m-in-funding-for-human-functional-genomics-initiative/) 

As Senior Postdoctoral Research Fellow at the Baillie Lab, you will play a pivotal role in leading, developing, and running the bioinformatic pipelines of work across all projects. This is pro-active role, where you will have primary responsibility for maintaining current analyses and identifying new approaches to better understand critical illness. 

This role will require the post holder to develop strong relationships with colleagues within and beyond the interdisciplinary team while pursuing new collaborations within the Baillie Gifford Pandemic Science Hub and wider university. 

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: 

• Highly experienced postdoctoral experience in bio-informatics or high-dimensional data analyses in the field of health science
• Proven track record of high impact publications 
• Excellent communication and interpersonal skills 

 

Click to view a copy of the full job description(opens new browser tab) 

 

As a valued member of our team you can expect: 

• A competitive salary of £49,250 and £60,321
• An exciting, positive, creative, challenging and rewarding place to work. 
• To be part of a diverse and vibrant international community
• Comprehensive Staff Benefits, such as a generous holiday entitlement, a defined benefits pension scheme, staff discounts, family-friendly initiatives, and flexible work options. Check out the full list on our staff benefits page (opens in a new tab) and use our reward calculator to discover the total value of your pay and benefits 

 

Championing equality, diversity and inclusion

The University of Edinburgh holds a Silver Athena SWAN award in recognition of our commitment to advance gender equality in higher education. We are members of the Race Equality Charter and we are also Stonewall Scotland Diversity Champions, actively promoting LGBT equality. 

 

Prior to any employment commencing with the University you will be required to evidence your right to work in the UK. Further information is available on our right to work webpages (opens new browser tab)

The University is able to sponsor the employment of international workers in this role. If successful, an international applicant requiring sponsorship to work in the UK will need to satisfy the UK Home Office’s English Language requirements and apply for and secure a Skilled Worker Visa. 

Key dates to note

Unless stated otherwise the closing time for applications is 11:59pm GMT. If you are applying outside the UK the closing time on our adverts automatically adjusts to your browsers local time zone. 

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