At a Glance
- Tasks: Join a team developing AI-driven models for human health using big data and multi-omics technologies.
- Company: University of Oxford, renowned for its research and collaborative environment.
- Benefits: Competitive salary, professional development, and the chance to work with cutting-edge technology.
- Other info: Full-time role with excellent career growth opportunities and mentoring junior researchers.
- Why this job: Make a real impact in health research while working at the forefront of AI and genomics.
- Qualifications: PhD/DPhil in bioinformatics or related field, with strong programming skills in Python/R.
The predicted salary is between 47779 - 47779 £ per year.
Oxford Population Health (the Nuffield Department of Population Health) provides an excellent environment for multi-disciplinary research and teaching and for professional and support staff. We work together to answer some of the most important questions about the causes, prevention and treatment of disease.
We are seeking a Researcher to join a multidisciplinary team developing AI-driven genotype-to-phenotype models for human health at the Big Data Institute (BDI), University of Oxford. The successful candidate will contribute to a strategic research programme integrating population-scale biomedical data, multi-omics technologies, and artificial intelligence to generate interpretable biological insights.
Reporting to the BDI Director, the post holder will work within Oxford Population Health and the Big Data Institute, at the intersection of computational genomics, statistical modelling, and AI. The programme leverages large-scale resources, including UK Biobank and other international cohort studies, to develop biologically grounded AI systems linking genetic variation to complex phenotypes.
The post holder will lead a defined methodological workstream, contributing computational innovation and reproducible infrastructure while collaborating closely with cross-disciplinary teams across genomics, epidemiology, machine learning, and biomedical science. The role will also involve mentoring junior researchers within the group.
Applicants should hold, or be close to completing, a PhD/DPhil in bioinformatics, computational biology, statistical genetics, or a related field, with strong quantitative and computational skills. Experience applying AI or machine learning to large-scale biomedical datasets, along with strong programming ability in Python and/or R, is essential, as are excellent communication and collaborative skills.
This is a full time, fixed term post (part time considered) for 3 years. The closing date for applications is noon on 19 August 2026.
Researcher in AI-Driven Functional Genomics and Population Health in Oxford employer: Corehr
Sheffield Hallam University is an exceptional employer, offering a vibrant and inclusive work culture that fosters innovation and collaboration within the Smart Interactive Technologies Lab. As a Research Fellow, you will have access to cutting-edge research infrastructure and the opportunity to contribute to impactful projects aimed at improving maternal health outcomes, all while benefiting from a supportive environment that prioritises professional growth and development. Join us in making a meaningful difference in healthcare through responsible and human-centred digital innovation.
StudySmarter Expert Advice🤫
We think this is how you could land Researcher in AI-Driven Functional Genomics and Population Health in Oxford
✨Get Involved in Local Research Communities
Tap into local biotechnology meetups and research forums. These are great places to mingle with industry professionals, share your passion, and even discover unadvertised job openings. It's all about getting your face known in the field!
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Curate a portfolio showcasing any research projects or internships you've completed in biotechnology. This tangible evidence of your skills can really impress employers when you chat with them at networking events or interviews. It's about making that killer first impression!
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We think you need these skills to ace Researcher in AI-Driven Functional Genomics and Population Health 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!