At a Glance
- Tasks: Join our team to develop innovative data science methods for health data, focusing 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 options, generous holidays, and staff discounts.
- Other info: International applicants can be sponsored; apply by 7 July 2025.
- Why this job: Work in a vibrant, diverse community with a focus on equality and impactful research.
- Qualifications: PhD in statistics or machine learning, R programming skills, and research data management 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.
Click to view a copy of the full Job Description (opens new browser tab).
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. Check out the full list on ourstaff 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 ourright 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.
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 browsers local time zone.
#J-18808-LjbffrPost-Doctoral Research Associate in Health Data Science employer: The University of Edinburgh
The University of Edinburgh offers an exceptional work environment for a Post-Doctoral Research Associate in Health Data Science, where you will engage in innovative research within a supportive and collaborative team. With a commitment to equality, diversity, and inclusion, the university provides comprehensive staff benefits, including generous holiday entitlement and family-friendly initiatives, making it a rewarding place to advance your career while contributing to meaningful healthcare solutions.
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
✨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 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 data science techniques, especially in a biomedical context, as this will showcase your practical skills.
✨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 be crucial in demonstrating your fit for the collaborative environment at the Institute.
We think you need these skills to ace Post-Doctoral Research Associate in Health Data Science
Some tips for your application 🫡
Tailor Your Cover Letter:Make sure your cover letter specifically addresses the role of Post-Doctoral Research Associate in Health Data Science. Highlight your PhD, relevant experience in statistics and machine learning, and your proficiency in R programming. Show how your skills align with the job requirements.
Showcase Relevant Experience:In your CV, emphasise any previous work related to health data science, particularly if you have experience with inflammatory bowel disease (IBD) or similar biomedical data. Include specific projects where you developed predictive tools or analysed complex datasets.
Highlight Communication Skills:Since strong communication skills are essential for this role, provide examples in your application that demonstrate your ability to communicate complex data findings clearly, both in writing and verbally. This could include presentations, publications, or collaborative projects.
Check Application Requirements:Before submitting, double-check that you have included all required documents: your CV and cover letter. Ensure that your application is complete and adheres to the guidelines provided in the job description.
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 experience with data analysis. Be prepared to discuss specific projects where you've applied these skills, especially in a biomedical context.
✨Demonstrate Team Collaboration
Since the role involves working closely with clinical and translational teams, share examples of how you've successfully collaborated in previous roles. Emphasise your ability to communicate complex data findings to non-technical team members.
✨Prepare for Questions on IBD
Familiarise yourself with inflammatory bowel disease (IBD) and current research trends in this area. Being able to discuss how your work could impact patient care will show your genuine interest in the field.
✨Ask Insightful Questions
Prepare thoughtful questions about the team's current projects and future goals. This not only shows your enthusiasm for the position but also helps you gauge if the role aligns with your career aspirations.
