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- Tasks: Join a dynamic team to analyse multi-omics and clinical datasets in cancer research.
- Company: Be part of the prestigious University of Oxford, renowned for its commitment to diversity.
- Benefits: Enjoy 38 days annual leave, a contributory pension scheme, and hybrid working options.
- Other info: Collaborative environment with opportunities for professional growth and development.
- Why this job: Make a real impact in translational myeloma research using cutting-edge bioinformatics and machine learning.
- Qualifications: PhD/DPhil in computational biology or related field, with experience in AI/ML data analysis.
The predicted salary is between 35000 - 45000 £ per year.
What We Offer:
- An excellent contributory pension scheme
- 38 days annual leave
- A comprehensive range of childcare services
- Family leave schemes
- Cycle loan scheme
- Discounted bus travel and Season Ticket travel loans
- Membership to a variety of social and sports clubs
- This role also offers the opportunity for hybrid working
About the Role:
Based within the Oxford Translational Myeloma Centre (OTMC) at the Botnar Institute for Musculoskeletal Sciences, this post will join an interdisciplinary team of clinical, experimental, and computational researchers working in translational multiple myeloma research. The postholder will contribute to projects aimed at understanding the biological mechanisms underlying disease progression and treatment response within the OTMC’s clinical‑translational research infrastructure. The role will focus on the computational analysis and interpretation of multi‑omics and clinical datasets to support research into multiple myeloma and related conditions. The postholder will apply and further develop bioinformatic and machine learning approaches to enable integrative analysis and biomarker discovery.
About You:
You must hold, or be close to completion of, a PhD/DPhil in a discipline directly relevant to computational biology, bioinformatics, or a related field. You will have experience in multi‑omics and AI/ML based data analysis and demonstrable understanding of biology relevant to cancer research. Additionally, you will have experience contributing to the development of scientific techniques in systems biology and/or computational genomics; familiarity with experimental workflows is desirable.
The University of Oxford is committed to equality and valuing diversity. All applicants will be judged on merit, according to the selection criteria. The closing date for applications is Friday, 29 May 2026. Interviews will take place during the week commencing 22 June 2026 and will be face to face. Please quote reference 186139 in all correspondence.
Postdoctoral Research Assistant in Translational Research in Oxford employer: University of Oxford, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences
Contact Detail:
University of Oxford, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Postdoctoral Research Assistant in Translational Research in Oxford
✨Tip Number 1
Network like a pro! Reach out to your connections in the field of computational biology and bioinformatics. Attend relevant conferences or seminars, and don’t be shy about introducing yourself to potential collaborators or employers.
✨Tip Number 2
Prepare for those interviews! Brush up on your knowledge of multi-omics and AI/ML data analysis. Be ready to discuss your past projects and how they relate to the role at the Oxford Translational Myeloma Centre.
✨Tip Number 3
Showcase your skills! Create a portfolio that highlights your experience in bioinformatics and machine learning. Include any relevant projects or publications that demonstrate your expertise in cancer research.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged with our platform.
We think you need these skills to ace Postdoctoral Research Assistant in Translational Research in Oxford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role. Highlight your experience in computational biology and any relevant projects you've worked on. We want to see how your skills align with our needs at the Oxford Translational Myeloma Centre.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about translational research and how your background in multi-omics and AI/ML can contribute to our team. Keep it engaging and personal!
Showcase Your Research Experience: Don’t forget to showcase your research experience, especially in systems biology or computational genomics. We love seeing how you’ve applied your knowledge in real-world scenarios, so include specific examples that demonstrate your expertise.
Apply Through Our Website: We encourage you to apply through our website for a smooth application process. It’s the best way to ensure your application gets to us directly, and you’ll find all the details you need there. Don’t miss out on this opportunity!
How to prepare for a job interview at University of Oxford, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences
✨Know Your Stuff
Make sure you brush up on your knowledge of computational biology and bioinformatics. Be ready to discuss your PhD/DPhil work and how it relates to the role. Familiarise yourself with multi-omics and AI/ML data analysis techniques, as these will likely come up in conversation.
✨Show Your Passion for Research
Demonstrate your enthusiasm for translational research and multiple myeloma. Share specific examples of projects you've worked on that align with the goals of the Oxford Translational Myeloma Centre. This will show that you're not just qualified, but genuinely interested in contributing to their mission.
✨Prepare for Technical Questions
Expect to face some technical questions related to bioinformatics and machine learning. Brush up on relevant methodologies and be prepared to explain your thought process when analysing datasets. Practising with mock interviews can help you articulate your answers clearly.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the team, ongoing projects, or future directions of the research. This shows that you're engaged and thinking critically about how you can fit into their work environment.