At a Glance
- Tasks: Lead statistical analysis of genomic data for liver cancer risk prediction.
- Company: Join the prestigious University of Oxford's Nuffield Department of Clinical Medicine.
- Benefits: Enjoy 38 days' holiday, generous pension, and professional development opportunities.
- Other info: Full-time, fixed term for 2 years with excellent career growth potential.
- Why this job: Make a real impact in cancer research with cutting-edge technology and interdisciplinary collaboration.
- Qualifications: PhD in relevant field and strong programming skills in R/Python required.
The predicted salary is between 61200 - 74800 £ per year.
We are seeking a Postdoctoral Research Scientist to join the Ansari Group at the University of Oxford to lead the statistical analysis of large-scale genomic and multi-omic data from patients with chronic liver disease. The successful candidate will work on the DeLIVER programme with Prof Azim Ansari (genetic lead), Prof Eleanor Barnes (CI DeLIVER), Hamish Innes (Statistics lead), and Andy Blake (DeLIVER data lead), aiming to identify the genetic and molecular determinants of hepatocellular carcinoma (HCC) and to develop new tests for early detection and risk prediction for HCC.
You will analyse genome-wide genotype data from over 2,800 individuals alongside proteomic, metabolomic and longitudinal clinical data, using state-of-the-art statistical genetics approaches including GWAS, fine-mapping, quantitative trait locus (QTL) mapping, Mendelian randomisation, polygenic risk prediction and multi-omics integration. This is an outstanding opportunity to contribute to one of the largest genomic studies of liver cancer risk, working within an interdisciplinary team of clinicians, statisticians, computational biologists and laboratory scientists. The project has strong national and international collaborations and offers excellent opportunities for publication, conference presentations and career development. This position is full-time and fixed term for 2 years.
About You
- A PhD (or close to completion) in Statistical Genetics, Genetic Epidemiology, Computational Biology, Bioinformatics, Statistics, Computer Science, Applied Mathematics, or a closely related quantitative discipline.
- Strong programming skills with demonstrated proficiency in R and/or Python for large-scale data analysis.
- Experience analysing large-scale genomic or other high-dimensional biological datasets using appropriate statistical and computational methods.
- Experience in statistical genetics, including genome-wide association studies (GWAS), genotype data analysis, population structure, imputation and related methodologies.
- Experience applying statistical models to complex biological or clinical datasets, with the ability to interpret results in a biological context.
- Excellent quantitative, analytical and problem-solving skills, with the ability to work independently and develop robust analytical workflows.
- A track record of scientific achievement, demonstrated through publications, preprints or other evidence of high-quality research.
- Evidence of working effectively within multidisciplinary teams.
About the Nuffield Department of Clinical Medicine
The Nuffield Department of Clinical Medicine (NDM) is one of the largest departments of the University of Oxford and is part of the Medical Sciences Division, with responsibility for a significant part of the teaching of clinical students within the Medical School.
Benefits of working
University employees enjoy 38 days’ paid holiday, generous pension schemes, travel discounts, and a variety of professional development opportunities. Our range of other employee benefits and discounts also includes free entry to the Botanic Gardens and University colleges, and discounts at University museums.
Only applications received before 12:00 midday on 11/09/2026 will be accepted.
Postdoctoral Research Scientist in host genetics and data integration for liver cancer risk pre[...] 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.
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We think you need these skills to ace Postdoctoral Research Scientist in host genetics and data integration for liver cancer risk pre[...] 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.
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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.
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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.
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