At a Glance
- Tasks: Develop cutting-edge machine learning methods for biomedical image analysis and disease identification.
- Company: Join a leading research team at the University of Oxford's Institute of Biomedical Engineering.
- Benefits: Competitive salary, potential for contract extension, and opportunities for professional growth.
- Other info: Collaborative environment with access to state-of-the-art technology and resources.
- Why this job: Make a real impact in healthcare by bridging research and practical implementation.
- Qualifications: PhD/DPhil in a relevant field with expertise in deep learning and computer vision.
The predicted salary is between 39424 - 47779 £ per year.
We are seeking two full-time postdoctoral research scientists to join the research groups of Professor Jens Rittscher and Professor Konstantinos Kamnitsas in the Department of Engineering Science, Institute of Biomedical Engineering. The post is funded by the Wellcome Trust Bioimaging Technology Development Award. The initial contract is fixed-term for 18 months, with the possibility of an extension, subject to funding.
You will apply and develop cutting-edge machine learning methods to integrate and analyse multi-omic data to identify disease phenotypes. A key aspect of the role is to bridge research and implementation. You will also develop novel algorithms using state-of-the-art computer vision and machine learning techniques (segmentation, multimodal AI, foundation models, agentic frameworks) to detect and analyse tissue architecture components and subtle disease-related changes.
You will work closely with software engineers and data platform developers to translate research prototypes into practical tools, ensuring robustness, reproducibility, and usability of developed tools for wider adoption.
You should hold a relevant PhD/DPhil (or be near completion) and possess strong technical expertise in deep learning, such as models for image segmentation, classification, multi-modal processing, foundation models, or agentic frameworks. An extensive background in computer vision and/or biomedical image analysis is essential, as is the ability to manage your own academic research and associated activities.
Informal enquiries may be addressed to Jens Rittscher (jens.rittscher@eng.ox.ac.uk) and Konstantinos Kamnitsas (konstantinos.kamnitsas@eng.ox.ac.uk). Only online applications received before midday on 6 July 2026 can be considered. You will be required to upload a cover letter/supporting statement, including a brief statement of research interests (describing how past experience and future plans fit with the advertised position), CV and the details of two referees as part of your online application.
Salary (£): Grade 7: £39,424 – £47,779 per annum (inclusive of Oxford University weighting).
Postdoctoral Research Assistant in Biomedical Image Analysis in Oxford employer: Corehr
The Institute of Biomedical Engineering at the University of Oxford offers an exceptional work environment for postdoctoral researchers, fostering innovation and collaboration in cutting-edge biomedical image analysis. With access to state-of-the-art facilities and a strong emphasis on employee development, you will have the opportunity to engage in meaningful research that bridges the gap between academia and practical application. The vibrant academic community in Oxford not only enhances your professional growth but also provides a unique cultural experience in one of the world's most prestigious educational settings.
StudySmarter Expert Advice🤫
We think this is how you could land Postdoctoral Research Assistant in Biomedical Image Analysis in Oxford
✨Get Involved in Local Research Communities
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We think you need these skills to ace Postdoctoral Research Assistant in Biomedical Image Analysis in Oxford
Some tips for your application 🫡
Show Off Your Lab Skills:In the biotechnology field, it's super important to highlight your lab experience in your CV. Be sure to mention specific techniques or instruments you've mastered (think PCR, gel electrophoresis, etc.) and any relevant projects you've worked on. This will show Corehr that you have the hands-on skills they need.
Tailor Your Technical Skills:Make sure to emphasise your technical skills, especially those relevant to the biotechnology sector. Include any software tools or programming languages you've used, like R or Python for data analysis, which could be key for this role at Corehr.
Craft a Compelling Cover Letter:Since this is a full-time role, your cover letter should reflect not only your passion for biotechnology but also your long-term career ambitions. Share why you're excited about the work that Corehr does and how you envision contributing to their goals. This shows that you’re not just looking for any job, but you're genuinely invested in this opportunity.
Include Your Papers and Projects:If you've published any papers or contributed to significant projects, mention them! These documents can boost your application and provide tangible evidence of your expertise in the biotechnology field. Don’t forget to link to any relevant publications or project summaries—this can set you apart from other candidates.
How to prepare for a job interview at Corehr
✨Brush Up on Lab Techniques
Since you're eyeing a full-time gig in biotechnology, make sure you're well-versed in the lab techniques relevant to the role. Be ready to talk about PCR, CRISPR, or any specific methods mentioned in the job description at Corehr. You might even be asked to demonstrate your understanding of these processes.
✨Know Your Bioinformatics Tools
Get comfortable with bioinformatics tools that are commonly used in the industry, like BLAST or Bioconductor. These are key in biotechnology, and having hands-on experience or at least familiarity can set you apart. Prepare to discuss any relevant projects you've worked on, especially if they involved data analysis or genomic research.
✨Show Your Teamwork Skills
Biotech often involves collaboration across multiple disciplines. Be ready to share stories that highlight your teamwork and communication skills, especially in research projects. Think about working with different teams at university or any internships – this is where you can show how well you fit into Corehr's culture.
✨Research Recent Biotech Innovations
Stay updated on the latest trends and breakthroughs in biotechnology. Knowing what's happening in the field can help you engage in more meaningful discussions during your interview. Bring up recent articles or advancements that excite you, especially those related to the work being done at Corehr. This shows your passion for the industry!
