DPhil in Genomic Medicine and Statistics
The DPhil in Genomic Medicine and Statistics is a research-based course combining taught modules and lab rotations in year one, followed by doctoral research in areas like functional genomics, bioinformatics, and clinical genomics.
- Expected length:
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- Full time: 4 years
- Expected start date:
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- Full time:
- English language level:
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- Standard level required
About the course
The course aims to train and nurture future leaders in the application of genomics to advance human health. It will equip them with skill sets spanning experimental and analytical genomic science in order to realise the potential of genomics and practice the qualities of fair and inspiring leadership that we will instil during the course.
The programme is hosted in the interdisciplinary environment of the Centre for Human Genetics (CHG), which hosts world-leading research groups in genomic analysis, functional genomics, bioinformatics, statistics, population genetics, translational genomics, protein structure and functional biology, together with outstanding disease-focused research including cardiovascular medicine, type 1 and type 2 diabetes, cancer genetics, immunity, inflammation and infectious disease.
United by common interests in understanding the molecular basis of disease, researchers come from clinical and pure science backgrounds. The CHG is part of the Nuffield Department of Medicine and closely linked with the clinical departments in the Oxford University Hospitals NHS Foundation Trust, providing unique opportunities for translation of research into clinical practice which is further enhanced by having the Oxford NIHR BRC Genomics Theme based within the CHG and the Centre for Personalised Medicine.
The interdisciplinary nature of the CHG strongly encourages interactions between research groups, and the centre runs internal and high-profile external seminar series, retreats for students and post docs, journal clubs, away days, training in public engagement and communication skills, and social events, to enable such interactions on a frequent basis.
Co-located on the Old Road campus with the CHG and across the Medical Sciences Division (MSD) are complementary research institutes and key stakeholders for translation (NHS and industry) that together constitute a remarkable inter- disciplinary environment for genomics research and training. This includes expertise in immunology, infectious disease and cancer through the CAMS Oxford Institute and the Ludwig Institute for Cancer Research, and the analytical expertise of supervisors from the Big Data Institute and the Department of Statistics.
Supervisors from the Target Discovery Institute and Department of Chemistry have further highly complementary translational expertise, for example in proteomics, metabolomics and medicinal chemistry that reflect the necessary interdisciplinarity to translate the potential of genomics.
The course also includes leading scientists from the Weatherall Institute of Molecular Medicine in genome engineering, relevant model systems including stem cells, gene regulation and epigenetics. The translational application of genomics is being pioneered in Oxford, with supervisors in addition to those at the CHG in pathogen genomics, palaeogenomics as well as in clinical application spanning rare disease and intervention to effect cure using gene editing constituting some of the most advanced work worldwide in this area.
The NIHR Biomedical Research Centre supports collaboration with the NHS and active engagement with outstanding clinical trials units experienced in experimental studies and the Oxford NHS Genomic Medicine Centre further enriches this. Oxford has also a highly active entrepreneurial spirit where spin out companies are encouraged and supported alongside collaborations with established biotech and pharma.
This outstanding cross-disciplinary research environment is underpinned by the latest technologies, including mass spectrometry, advanced microscopy, metabolomics and proteomics, single-cell deep phenotyping, preclinical model organism analyses, and one of the most advanced computing facilities (based in the CHG) in Europe.
The programme actively seeks to recruit students from very diverse backgrounds, united by a track record of academic excellence and enthusiasm for this field. Students receive world-class training, supervision, and mentorship. Promoting excellence in research culture underlies all aspects of the programme with a commitment to support creativity, prioritise diversity and inclusion, and promote best practice.
Course structure
The first year includes taught modules focused within the first term, which combine theoretical and practical classes, with further skills training available through the Medical Sciences Doctoral Training Centre.
The taught component of the course will be delivered by expert faculty including experienced principal investigators and postdoctoral scientists. Class sizes for taught modules will typically be between 5 and 20 students depending on format and content (median estimated at 12 students). Peer-to-peer and independent learning is also encouraged.
First-year students then undertake short research projects in up to three laboratories in three-month rotations, with further training and teaching sessions tailored to the needs of individual students.
Lab rotations will be under the supervision of a named principal investigator. Workload involved is commensurate with full time employment.
The final three years of the course will comprise doctoral research under the supervision of two named supervisors and a doctoral committee.
Core components
You will take taught modules during the first year of your course. It is expected that there will be opportunities for internships.
Research areas
You will have the opportunity to undertake research within the specialised themes of this course.
Course details
Entry requirements
For entry in 2026-27