Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop AI tools to integrate health data for precision psychiatry research.
- Company: Join a leading university's Department of Applied Mathematics and Theoretical Physics.
- Benefits: Fixed-term contract with potential extension, collaborative research environment.
- Why this job: Make a real impact in healthcare using cutting-edge AI and statistical genetics.
- Qualifications: Ph.D. in computational biology or related field; knowledge in machine learning and omics data.
- Other info: Opportunity to mentor graduate students and participate in seminars and conferences.
The predicted salary is between 36000 - 60000 £ per year.
We invite applications for a Postdoctoral Research Associate in developing AI tools to integrate multimodal health data such as genetics, electronic health records, and molecular measurements in the context of precision psychiatry, in the Department of Applied Mathematics and Theoretical Physics. The successful candidate will join the team of Dr. Gamze Gursoy, working on topics related to statistical genetics, AI in healthcare, precision medicine, and computational biology.
Responsibilities
- Plan and manage their own research and administration, with guidance if required.
- Take an active role within the research group, including assisting in the development of graduate student research skills as well as participation in and planning/delivery of seminars and conferences relating to the research area.
Qualifications
- Completed (or near completion) Ph.D. in computational biology, bioinformatics, or a relevant field.
- Background knowledge in statistical genetics, machine learning, omics data analysis, and computational biology.
- Additional knowledge in transcriptomics, statistics, and foundation models is also desired.
Appointment details
- Fixed-term: initial period of one year, with the possibility of extending to two more years if funding is available.
- Start date: 1 June 2026 (or to be negotiated).
Application process
Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online. Please indicate the contact details (including email addresses) of two academic referees on the online application form and upload a full curriculum vitae and a description of your recent research (not to exceed three pages). Please ensure that at least one of your referees is contactable at any time during the selection process and is made aware that they will be contacted by the Mathematics HR Administrator to request that they upload a reference for you to our Web Recruitment System, and please encourage them to do so promptly. Interviews will be held soon after the closing date. Informal enquiries can be made by contacting Dr Gamze Gursoy at gg584@cam.ac.uk. If you have any queries about the application process, please email: LE48566@maths.cam.ac.uk. Please quote reference LE48566 on your application and in any correspondence about this vacancy.
Equal opportunity
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society. The University has a responsibility to ensure that all employees are eligible to live and work in the UK.
Postdoctoral Research Associate in Statistical Genetics and Machine Learning (Fixed Term) in Cambridge employer: University of Cambridge Vet School
Contact Detail:
University of Cambridge Vet School Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Postdoctoral Research Associate in Statistical Genetics and Machine Learning (Fixed Term) in Cambridge
✨Tip Number 1
Network like a pro! Reach out to your connections in the field of statistical genetics and machine learning. Attend seminars, webinars, or conferences where you can meet potential collaborators or employers. Remember, it’s all about who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your research projects, especially those related to AI in healthcare and precision medicine. This will give you an edge during interviews and help us see your practical experience.
✨Tip Number 3
Prepare for the interview! Research Dr. Gamze Gursoy’s work and the team’s projects. Be ready to discuss how your background in computational biology and machine learning aligns with their goals. We love candidates who are genuinely interested!
✨Tip Number 4
Apply through our website! It’s the easiest way to ensure your application gets noticed. Make sure to follow the instructions carefully and keep your CV and research description concise and relevant. We’re excited to see what you bring to the table!
We think you need these skills to ace Postdoctoral Research Associate in Statistical Genetics and Machine Learning (Fixed Term) in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role. Highlight your experience in computational biology, statistical genetics, and machine learning. We want to see how your background aligns with our research focus!
Craft a Compelling Research Description: When writing your research description, keep it concise and relevant. Focus on your recent work and how it connects to precision psychiatry and AI in healthcare. This is your chance to shine!
Choose Your Referees Wisely: Select referees who can speak to your skills and experiences in the relevant fields. Make sure they know they might be contacted during the selection process, so they’re ready to provide a glowing reference for us!
Follow Application Instructions: Don’t skip any steps in the application process! Ensure you upload all required documents and quote the reference number LE48566. Applying through our website makes it easier for us to review your application!
How to prepare for a job interview at University of Cambridge Vet School
✨Know Your Research Inside Out
Make sure you can discuss your recent research in detail. Be prepared to explain your methodologies, findings, and how they relate to statistical genetics and machine learning. This shows your passion and expertise in the field.
✨Familiarise Yourself with the Team's Work
Take some time to read up on Dr. Gamze Gursoy's work and the projects currently being undertaken in the department. This will help you tailor your answers and demonstrate your genuine interest in joining their team.
✨Prepare for Technical Questions
Expect questions that test your knowledge of computational biology, omics data analysis, and machine learning techniques. Brush up on key concepts and be ready to discuss how you've applied them in your previous work.
✨Showcase Your Collaboration Skills
Since the role involves assisting graduate students and participating in seminars, be ready to share examples of how you've worked collaboratively in the past. Highlight any experience you have in mentoring or leading discussions.
