Summary
The Ansari Group at the University of Oxford is seeking a Postdoctoral Research Scientist to join the DeLIVER programme. The role focuses on leading statistical and multi-omic data analyses to uncover the genetic and molecular determinants of hepatocellular carcinoma (HCC) and to develop novel predictive and early-detection tools.
Postdoctoral Research Scientist in Host Genetics and Data Integration for Liver Cancer Risk Prediction and Early Detection
Key Job Details
| Parameter | Details |
| Designation | Postdoctoral Research Scientist |
| Employer | University of Oxford (NDM Experimental Medicine) |
| Department / Facility | Nuffield Department of Clinical Medicine, Peter Medawar Building |
| Job Reference | 188319 |
| Location | Oxford, United Kingdom |
| Salary | £39,424 to £47,779 per annum |
| Hours / Working Pattern | Full Time |
| Contract Type | Fixed-Term (2 years) |
| Closing Date | 11th September 2026 (at 12:00 midday BST) |
Research Area
- Statistical Genetics & Genetic Epidemiology
- Computational Biology & Multi-Omics Data Integration
- Hepatocellular Carcinoma (HCC) & Liver Disease Genomics
- Biomarker Discovery, Polygenic Risk Scoring, and Early Cancer Detection
Eligibility & Qualifications
- Education: 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.
- Technical & Analytical Skills:
- Strong programming proficiency in R and/or Python for large-scale data analysis.
- Demonstrated experience analyzing large-scale genomic and high-dimensional biological datasets.
- Solid background in statistical genetics, including Genome-Wide Association Studies (GWAS), genotype analysis, population structure correction, imputation, QTL mapping, and related methods.
- Experience applying complex statistical and machine learning models to biological or clinical datasets with biological interpretability.
- Research & Collaboration:
- Proven track record of scientific productivity (peer-reviewed publications, preprints, or related high-quality research outputs).
- Strong communication and problem-solving skills with the ability to work effectively in a multidisciplinary team.
Job Description & Responsibilities
- Multi-Omics Analysis: Analyze genome-wide genotype data from more than 2,800 patients alongside proteomic, metabolomic, and longitudinal clinical data.
- Statistical Modeling: Apply advanced statistical genetics methods, including GWAS, fine-mapping, quantitative trait locus (QTL) mapping, Mendelian randomization, polygenic risk prediction, and multi-omics data integration.
- Collaboration & Leadership: Work collaboratively with lead investigators (Prof. Azim Ansari, Prof. Eleanor Barnes, Hamish Innes, and Andy Blake) across clinical, statistical, computational, and wet-lab disciplines.
- Dissemination: Prepare manuscripts for high-impact scientific publications and present research findings at national and international conferences.
How to Apply
- Visit the official University of Oxford recruitment portal referencing Job Ref: 188319.
- Complete the online application form.
- Upload a comprehensive Curriculum Vitae (CV) along with a Supporting Statement detailing how your qualifications, skills, and experience fulfill the selection criteria.
Last Date to Apply
11th September 2026 at 12:00 midday (UK Time)
