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- Tasks: Lead computational analysis of single-cell and spatial multiomics data for innovative research.
- Company: Join the University of Oxford, a world-class centre of excellence in medical sciences.
- Benefits: Enjoy 38 days annual leave, pension scheme, childcare services, and discounted travel.
- Why this job: Make a real impact on global health challenges through cutting-edge bioinformatics research.
- Qualifications: PhD/DPhil in a relevant field or equivalent experience, with expertise in bioinformatics and Python.
- Other info: Collaborate with top scientists and clinicians in a dynamic research environment.
The predicted salary is between 36000 - 60000 ÂŁ per year.
The University of Oxford is a stimulating work environment, which enjoys an international reputation as a world-class centre of excellence. Our research plays a key role in tackling many global challenges, from reducing our carbon emissions to developing vaccines during a pandemic.
The Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS) is part of the Medical Sciences Division and is the largest European academic department in its field, running a globally competitive programme of research and teaching. The Botnar Research Centre enables and encourages research and education into the causes of musculoskeletal disease and their treatment. The Centre provides world‑class facilities for scientists in the field of musculoskeletal research.
The Translational Pharmacology team integrates expertise in experimental medicine, clinical pharmacology and immune biology. Working across the Botnar Research Centre, Old Road Campus and the Experimental Medicine Clinical Research Facility (EMCRF), the team consists of scientists and clinicians who seek to design and deliver innovative human immune challenge (HIC) studies. These approaches enable in‑vivo interrogation of immune variance, disease‑associated immune dysregulation, and ascertainment of drug mechanism. By applying HIC methods to translational and early‑phase clinical development, we aim to generate proof‑of‑concept and tissue‑based pharmacology for both repurposed and novel therapeutics, accelerating the path from biological insight to effective clinical trials for academic and industrial partners alike.
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
About the Role
The post‑holder will be the Oxford‑based senior bioinformatician for computational analysis of available and emerging single‑cell and spatial multiomics data from HIC samples, derived mostly from skin biopsies, and human observational studies. They will lead the management and analysis of large‑scale datasets to address joint J&J‑Oxford hypotheses, working with academic, clinical and industry colleagues. They will help to develop and maintain computational pipelines and workflows for single‑cell and spatial omics analysis and integration with clinical, demographic and experimental data. Implementation and/or development of ML/AI approaches to address key questions is also highly encouraged.
About You
You will hold a PhD/DPhil with a significant computational and/or statistical element, or have comparable industrial research experience. You will have expertise in bioinformatics analysis of omics datasets, including single‑cell and spatial multi‑omics, and single‑cell immune repertoire analysis. Experience and knowledge of Python programming and experience of software development using version control (e.g. GitHub or similar), together with experience using a High‑Performance Computing environment, is essential. Experience of applying machine learning methods is desirable.
Application Process
You will be required to upload a covering letter/supporting statement, CV and the details of two referees as part of your online application. The closing date for applications is 24th February 2026. Interviews will take place during the week commencing 9th March 2026 and will be face‑to‑face/online.
Senior Bioinformatician in Single-cell and Spatial Multiomics 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 Senior Bioinformatician in Single-cell and Spatial Multiomics in Oxford
✨Network Like a Pro
Get out there and connect with people in the field! Attend conferences, workshops, or even local meetups related to bioinformatics. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving single-cell and spatial multiomics. We love seeing practical applications of your skills, so make sure to highlight any relevant work you've done.
✨Ace the Interview
Prepare for your interview by brushing up on common questions related to bioinformatics and machine learning. We recommend practising with a friend or mentor to build confidence. Remember, it’s your chance to shine and show how you can contribute to the team!
✨Apply Through Our Website
When you're ready to apply, make sure to do it through our website. It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates like you who are eager to make a difference!
We think you need these skills to ace Senior Bioinformatician in Single-cell and Spatial Multiomics in Oxford
Some tips for your application 🫡
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Make sure to highlight your relevant experience in bioinformatics and how it aligns with the role. We want to see your passion for single-cell and spatial multiomics, so don’t hold back!
Tailor Your CV: Customise your CV to reflect the skills and experiences that are most relevant to the Senior Bioinformatician position. Use keywords from the job description to show us you’re a perfect fit for our team at the University of Oxford.
Showcase Your Technical Skills: Don’t forget to mention your expertise in Python programming and any experience with machine learning methods. We’re keen to see how you’ve applied these skills in past projects, so give us the details!
Apply Through Our Website: Make sure to submit your application through our website. It’s the easiest way for us to keep track of your application and ensures you don’t miss out on any important updates. We can’t wait to hear from you!
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 bioinformatics knowledge, especially around single-cell and spatial multiomics. Be ready to discuss specific projects you've worked on, the tools you used, and how you tackled challenges. This will show that you're not just familiar with the theory but have practical experience too.
✨Showcase Your Coding Skills
Since Python programming is essential for this role, be prepared to talk about your coding experience. Bring examples of your work, perhaps a GitHub repository, and be ready to explain your thought process behind your code. This will demonstrate your technical abilities and problem-solving skills.
✨Understand the Research Context
Familiarise yourself with the current research being conducted at the University of Oxford, particularly in the Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences. Being able to relate your expertise to their ongoing projects will show your genuine interest and how you can contribute to their goals.
✨Prepare Thoughtful Questions
Interviews are a two-way street, so prepare some insightful questions about the team, the research environment, and future projects. This not only shows your enthusiasm but also helps you gauge if this is the right fit for you. Ask about their approach to integrating ML/AI in their research, for instance.
