Senior Bioinformatician in Single-cell and Spatial Multiomics
| Dyddiad hysbysebu: | 10 Chwefror 2026 |
|---|---|
| Cyflog: | £49,119 i £53,483 bob blwyddyn, pro rata |
| Oriau: | Llawn Amser |
| Dyddiad cau: | 24 Chwefror 2026 |
| Lleoliad: | Botnar Institute for Musculoskeletal Sciences, Windmill Road, Oxford, OX3 7LD |
| Gweithio o bell: | Ar y safle yn unig |
| Cwmni: | University of Oxford, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences |
| Math o swydd: | Dros dro |
| Cyfeirnod swydd: | 184809 |
Crynodeb
The University of Oxford is a stimulating work environment, which enjoys an international reputation as a world-class centre of excellence. Our research plays a key role in tackling many global challenges, from reducing our carbon emissions to developing vaccines during a pandemic.
The Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS) is part of the Medical Sciences Division and is the largest European academic department in its field, running a globally competitive programme of research and teaching. The Botnar Research Centre enables and encourages research and education into the causes of musculoskeletal disease and their treatment. The Centre provides world-class facilities for scientists in the field of musculoskeletal research.
The Translational Pharmacology team integrates expertise in experimental medicine, clinical pharmacology and immune biology. Working across the Botnar Research Centre, Old Road Campus and the Experimental Medicine Clinical Research Facility (EMCRF), the team consists of scientists and clinicians who seek to design and deliver innovative human immune challenge (HIC) studies. These approaches enable in vivo interrogation of immune variance, disease-associated immune dysregulation, and ascertainment of drug mechanism. By applying HIC methods to translational and early-phase clinical development, we aim to generate proof-of-concept and tissue-based pharmacology for both repurposed and novel therapeutics, accelerating the path from biological insight to effective clinical trials for academic and industrial partners alike.
What We Offer
As an employer, we genuinely care about our employees’ wellbeing and this is reflected in the range of benefits that we offer including:
• An excellent contributory pension scheme
• 38 days annual leave
• A comprehensive range of childcare services
• Family leave schemes
• Cycle loan scheme
• Discounted bus travel and Season Ticket travel loans
• Membership to a variety of social and sports clubs
About the Role
The post-holder will be the Oxford-based senior bioinformatician for computational analysis of available and emerging single-cell and spatial multiomics data from HIC samples, derived mostly from skin biopsies, and human observational studies. They will lead the management and analysis of large-scale datasets to address joint J&J-Oxford hypotheses, working with academic, clinical and industry colleagues. They will help to develop and maintain computational pipelines and workflows for single-cell and spatial omics analysis and integration with clinical, demographic and experimental data. Implementation and/or development of ML/AI approaches to address key questions is also highly encouraged.
About You
You will hold a PhD/DPhil with a significant computational and/or statistical element, or have comparable industrial research experience. You will have expertise in bioinformatics analysis of omics datasets, including single-cell and spatial multi-omics, and single-cell immune repertoire analysis. Experience and knowledge of python programming and experience of software development using version control (e.g. GitHub or similar), together with experience using a High-Performance Computing environment, is essential. Experience of applying machine learning methods is desirable.
Application Process
You will be required to upload a covering letter/supporting statement, CV and the details of two referees as part of your online application.
The closing date for applications is 24th February 2026.
Interviews will take place during week commencing 9th March 2026 and will be face to face/online
The Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS) is part of the Medical Sciences Division and is the largest European academic department in its field, running a globally competitive programme of research and teaching. The Botnar Research Centre enables and encourages research and education into the causes of musculoskeletal disease and their treatment. The Centre provides world-class facilities for scientists in the field of musculoskeletal research.
The Translational Pharmacology team integrates expertise in experimental medicine, clinical pharmacology and immune biology. Working across the Botnar Research Centre, Old Road Campus and the Experimental Medicine Clinical Research Facility (EMCRF), the team consists of scientists and clinicians who seek to design and deliver innovative human immune challenge (HIC) studies. These approaches enable in vivo interrogation of immune variance, disease-associated immune dysregulation, and ascertainment of drug mechanism. By applying HIC methods to translational and early-phase clinical development, we aim to generate proof-of-concept and tissue-based pharmacology for both repurposed and novel therapeutics, accelerating the path from biological insight to effective clinical trials for academic and industrial partners alike.
What We Offer
As an employer, we genuinely care about our employees’ wellbeing and this is reflected in the range of benefits that we offer including:
• An excellent contributory pension scheme
• 38 days annual leave
• A comprehensive range of childcare services
• Family leave schemes
• Cycle loan scheme
• Discounted bus travel and Season Ticket travel loans
• Membership to a variety of social and sports clubs
About the Role
The post-holder will be the Oxford-based senior bioinformatician for computational analysis of available and emerging single-cell and spatial multiomics data from HIC samples, derived mostly from skin biopsies, and human observational studies. They will lead the management and analysis of large-scale datasets to address joint J&J-Oxford hypotheses, working with academic, clinical and industry colleagues. They will help to develop and maintain computational pipelines and workflows for single-cell and spatial omics analysis and integration with clinical, demographic and experimental data. Implementation and/or development of ML/AI approaches to address key questions is also highly encouraged.
About You
You will hold a PhD/DPhil with a significant computational and/or statistical element, or have comparable industrial research experience. You will have expertise in bioinformatics analysis of omics datasets, including single-cell and spatial multi-omics, and single-cell immune repertoire analysis. Experience and knowledge of python programming and experience of software development using version control (e.g. GitHub or similar), together with experience using a High-Performance Computing environment, is essential. Experience of applying machine learning methods is desirable.
Application Process
You will be required to upload a covering letter/supporting statement, CV and the details of two referees as part of your online application.
The closing date for applications is 24th February 2026.
Interviews will take place during week commencing 9th March 2026 and will be face to face/online