Senior Quantitative Geneticist

Full-time: 35 hours per week

Fixed-term: 2 years

The opportunity:

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

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 (www.ukri.org/news/28-5m-in-funding-for-human-functional-genomics-initiative) 

As Senior Quantitative Genecist 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.

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