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University of Edinburgh – Post-Doctoral Research Associate in Health Data Science
Company Information: As a world-leading research-intensive University, we are here to address tomorrow’s greatest challenges. Between now and 2030 we will do that with a values-led approach to teaching, research and innovation, and through the strength of our relationships, both locally and globally.
The Centre for Genomic and Experimental Medicine (CGEM) uses genetics and genomics to understand the mechanisms of disease and improve disease prediction, prevention and prognosis. Our research is leading to the development of new diagnostic tests and medicines and better use of existing medicines in clinical trials.
To find out more visit the Centre for Genomic & Experimental Medicine Webpage https://institute-genetics-cancer.ed.ac.uk/research/research-themes/centre-for-genomic-experimental-medicine
The Centre for Genomic and Experimental Medicine is part of the Institute of Genetics and Cancer (IGC). This partnership with MRC Human Genetics Unit and CRUK Edinburgh Centre aims to understand development and disease by using the latest developments in genetic, genomic, cellular and clinical science. The partnership provides access to state of the art scientific facilities, scientific infrastructure and business support, including on site Advanced Imaging Resource, Animal Model support, Bioinformatics Analysis Core, DNA sequencing, Flow Cytometry, Mass Spectrometry, HTPU microarray. The IGC also offers a highly collegial environment with excellent local career development support, active social, wellbeing and sustainability related groups making it a very desirable and supportive working environment.
To find out more visit the Institute of Genetics and Cancer Webpage https://institute-genetics-cancer.ed.ac.uk/
Position Title: Post-Doctoral Research Associate in Health Data Science
Duties and Responsibilities: We are seeking a Postdoctoral Research Associate in Health Data Science to join our team in the Institute of Genetics and Cancer. In this role, you will develop and apply cutting-edge data science methodologies to complex biomedical data, focusing on patients with inflammatory bowel disease (IBD). You will work closely with our clinical and translational teams to develop predictive tools that can be implemented directly in clinical settings. This is a fixed-term position for 12 months, with the possibility of extension.
This post is full-time (35 hours per week); however, we are open to considering part-time or flexible working patterns.
Position Qualifications: – A PhD in statistics, machine learning, or a related field, or equivalent professional experience.
– Proficiency in R programming.
– Experience in managing and analysing research data.
– Ability to work independently and as part of a team.
– Strong communication skills, both oral and written.
Salary Range: £40,497 to £48,149
Benefits: – A competitive salary.
– 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, competitive pension schemes, staff discounts, and family-friendly initiatives. 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.
Website: https://elxw.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/12591/?utm_medium=jobshare&utm_source=External+Job+Share
Application Information: The closing date for applications is 7 July 2025.
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.
Contact Email: Charlie.lees@ed.ac.uk
Application Deadline: 07/07/2025
Company NameUniversity of Edinburgh
Company Information
As a world-leading research-intensive University, we are here to address tomorrow’s greatest challenges. Between now and 2030 we will do that with a values-led approach to teaching, research and innovation, and through the strength of our relationships, both locally and globally.
The Centre for Genomic and Experimental Medicine (CGEM) uses genetics and genomics to understand the mechanisms of disease and improve disease prediction, prevention and prognosis. Our research is leading to the development of new diagnostic tests and medicines and better use of existing medicines in clinical trials.
To find out more visit the Centre for Genomic & Experimental Medicine Webpage https://institute-genetics-cancer.ed.ac.uk/research/research-themes/centre-for-genomic-experimental-medicine
The Centre for Genomic and Experimental Medicine is part of the Institute of Genetics and Cancer (IGC). This partnership with MRC Human Genetics Unit and CRUK Edinburgh Centre aims to understand development and disease by using the latest developments in genetic, genomic, cellular and clinical science. The partnership provides access to state of the art scientific facilities, scientific infrastructure and business support, including on site Advanced Imaging Resource, Animal Model support, Bioinformatics Analysis Core, DNA sequencing, Flow Cytometry, Mass Spectrometry, HTPU microarray. The IGC also offers a highly collegial environment with excellent local career development support, active social, wellbeing and sustainability related groups making it a very desirable and supportive working environment.
To find out more visit the Institute of Genetics and Cancer Webpage https://institute-genetics-cancer.ed.ac.uk/
Position TitlePost-Doctoral Research Associate in Health Data Science
Duties and Responsibilities
We are seeking a Postdoctoral Research Associate in Health Data Science to join our team in the Institute of Genetics and Cancer. In this role, you will develop and apply cutting-edge data science methodologies to complex biomedical data, focusing on patients with inflammatory bowel disease (IBD). You will work closely with our clinical and translational teams to develop predictive tools that can be implemented directly in clinical settings. This is a fixed-term position for 12 months, with the possibility of extension.
This post is full-time (35 hours per week); however, we are open to considering part-time or flexible working patterns.
Position Qualifications
- A PhD in statistics, machine learning, or a related field, or equivalent professional experience.
- Proficiency in R programming.
- Experience in managing and analysing research data.
- Ability to work independently and as part of a team.
- Strong communication skills, both oral and written.
Salary Range£40,497 to £48,149
Benefits
- A competitive salary.
- 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, competitive pension schemes, staff discounts, and family-friendly initiatives. 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.
Position or Company Websiteoraclecloud.com
Application Instructions
The closing date for applications is 7 July 2025.
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.