Bioinformatician in Single-cell and Spatial Multi-omics

University of Oxford; Oxford; On-site; GBP 49,000 - 53,000; Full time

Benefits offered by this job

Contributory pension scheme

38 days annual leave

childcare services

Family leave schemes

Cycle loan scheme

Travel discounts

Job summary

University of Oxford seeks a bioinformatician to lead analysis of omics data, including single-cell and spatial multi-omics, using ML/AI methods. The role requires a PhD with substantial computational work, Python and Git, and experience in HPC environments.

You will manage junior data scientists and collaborate with clinical teams to advance the programme's objectives. You will contribute to open source software and high‑profile publications, shaping methods for immunology‑related disease

Qualifications

• PhD/DPhil with significant computational/biomedical element.
• Expertise in bioinformatics analysis of omics datasets, including single-cell and spatial multi-omics.
• Experience applying machine learning/AI methods.
• Experience with Python programming and version control (GitHub).
• Experience using a High Performance Computing environment.
• Interest in immunology with strong publication record.
• Desirable: experience with TensorFlow/PyTorch and R.

Responsibilities

• Develop methodologies and pipelines for omics data integration.
• Identify, define and plan new projects; coordinate analysis of omics data.
• Supervise junior data scientists and collaborate with experimental/clinical/industry teams.
• Develop well-documented open source code and contribute to scientific reports and publications.
• Lead in specialised publications on novel bioinformatics aspects.

Skills

Bioinformatics analysis

Single-cell omics

Spatial multi-omics

Machine learning/AI

Python programming

Git/GitHub

High Performance Computing

Immunology interest

R programming

Deep learning (TensorFlow/PyTorch)

Education

PhD/DPhil in a computational/biomedical field

Tools

GitHub

TensorFlow

PyTorch

Python

R

Job description

We are offering an exciting and unique opportunity for a bioinformatician to join an interdisciplinary research programme, supported by a Wellcome Discovery Award, investigating the mechanisms that drive chronic inflammation and immune dysregulation in autoimmune liver and other immune-mediated diseases. In this role you will develop new methodologies, taking overall or shared responsibility for development/maintenance of computational pipelines for integration of omics data with other relevant datasets. You will also identify, define and plan new projects, coordinating analysis of omics data and relevant associated datasets as required to support the programme objectives. Additionally, you will manage junior data scientists to support the programme objectives as well as work closely with experimental and clinical and industry to better understand the domain, help address scientific hypotheses and support the programme objectives. You will develop well-documented open source code implementing algorithms for general use and contribute to the production of scientific reports and publications for high profile journals, including taking leadership in more specialised publications on novel aspects of bioinformatics.

You will hold a PhD/DPhil with a significant computational and/or biomedical element, together with expertise in bioinformatics analysis of omics datasets, including single-cell and spatial multi-omics analysis. You will have demonstrable experience of applying machine learning/AI methods as well as experience and knowledge of python programming. You will demonstrate experience of software development using version control (e.g. GitHub or similar) and experience using a High Performance Computing environment. You will demonstrate an interest in immunology in the context of disease and have a good scientific publication record given career pathway. Experience and knowledge of another relevant programming language (e.g. R) and experience of deep learning frameworks (e.g. tensorflow, pytorch) are desirable.

Grade 8: Salary in the range of £49,119-£53,483 per annum. This is inclusive of a pensionable Oxford University Weighting of £1,730 per year. This is a full time (100%), fixed term position for 24 months. A lower grade offer (Grade 7: £39,424 - £47,779 per annum) may be made to a less experienced candidate if a suitable candidate cannot be found to fill the Grade 8 position. 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 Kennedy Institute is a biomedical research centre uniquely bringing together discovery science and early-stage clinical research, to develop transformative new therapies for chronic inflammatory and musculoskeletal conditions. The Dendrou group is an interdisciplinary team whose research aims to compare inflammatory diseases and immunological responses across tissues, over time and upon perturbation for translational benefit, leveraging multiomic technologies in conjunction with cutting-edge computational and machine learning approaches. 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