At a Glance
- Tasks: Join our team to develop data science methods for biomedical data on inflammatory bowel disease.
- Company: Be part of the University of Edinburgh, a leader in genetics and cancer research.
- Benefits: Enjoy competitive salary, flexible working, generous holidays, and staff discounts.
- Other info: International applicants can be sponsored; applications close on 7 July 2025.
- Why this job: Work in a creative environment with a diverse community making real-world impacts.
- Qualifications: PhD in statistics or machine learning, R programming skills, and research data experience required.
The predicted salary is between 34000 - 48000 € per year.
Grade UE07: £40,497 to £48,149 per annum, pro-rata if part time
CMVM/Centre for Genetics and Experimental Medicine/Institute of Genetics and Cancer
Full-time: 35 hours per week
Fixed-term: 12 months
The Opportunity: 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.
Your skills and attributes for success:
- 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.
Application Information: Please ensure you include the following documents in your application:
- CV
- Cover letter
As a valued member of our team you can expect:
- 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.
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.
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. Please note if the role is offered on a part-time basis, it may result in sponsorship being dependent on a number of factors specific to the successful applicant or the role no longer meeting the Home Office’s criteria for sponsorship.
Key dates to note: 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 browser's local time zone.
Post-Doctoral Research Associate in Health Data Science in Edinburgh employer: The University of Edinburgh
The University of Edinburgh offers an exceptional work environment for the Post-Doctoral Research Associate in Health Data Science, fostering a culture of innovation and collaboration within a diverse international community. Employees benefit from competitive salaries, generous holiday entitlements, and comprehensive staff benefits, including family-friendly initiatives and a commitment to equality, diversity, and inclusion. This role not only provides the opportunity to engage in cutting-edge research but also supports professional growth through access to a vibrant academic network and resources.
Contact Detail:
The University of Edinburgh Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Post-Doctoral Research Associate in Health Data Science in Edinburgh
✨Tip Number 1
Network with professionals in the field of health data science. Attend relevant conferences, workshops, or seminars where you can meet researchers and practitioners. This can help you gain insights into the latest trends and potentially lead to recommendations for your application.
✨Tip Number 2
Familiarise yourself with the specific methodologies used in the study of inflammatory bowel disease (IBD). Understanding the nuances of this area will not only enhance your knowledge but also demonstrate your genuine interest in the role during any interviews.
✨Tip Number 3
Prepare to discuss your experience with R programming in detail. Be ready to provide examples of projects where you've successfully applied your skills, as this will be crucial in showcasing your technical abilities to the hiring team.
✨Tip Number 4
Highlight your ability to work both independently and collaboratively. Think of specific instances where you've successfully contributed to a team project or led an initiative, as this will resonate well with the collaborative nature of the role.
We think you need these skills to ace Post-Doctoral Research Associate in Health Data Science in Edinburgh
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your PhD in statistics, machine learning, or a related field. Include specific examples of your experience with R programming and managing research data, as these are crucial for the role.
Craft a Compelling Cover Letter:In your cover letter, express your enthusiasm for the position and the opportunity to work on health data science. Mention your ability to work independently and as part of a team, and provide examples of your strong communication skills.
Highlight Relevant Experience:When detailing your experience, focus on any previous work related to biomedical data or predictive tools. This will demonstrate your capability to contribute effectively to the clinical and translational teams.
Proofread Your Application:Before submitting, carefully proofread your CV and cover letter for any errors. A well-presented application reflects your attention to detail and professionalism, which are important in a research environment.
How to prepare for a job interview at The University of Edinburgh
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in R programming and any relevant data science methodologies you've used. Be prepared to discuss specific projects where you've applied these skills, especially in the context of managing and analysing research data.
✨Demonstrate Team Collaboration
Since this role involves working closely with clinical and translational teams, be ready to share examples of how you've successfully collaborated in a team setting. Emphasise your ability to communicate complex ideas clearly to both technical and non-technical stakeholders.
✨Prepare for Questions on IBD
Familiarise yourself with inflammatory bowel disease (IBD) and its implications in health data science. Being able to discuss current trends, challenges, and potential predictive tools related to IBD will show your genuine interest in the field and the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the team's current projects, the methodologies they use, and how your role would contribute to their goals. This not only shows your enthusiasm but also helps you gauge if the position aligns with your career aspirations.
