Senior Bioinformatician in Exposome Immunology

University of Oxford; Oxford; On-site; GBP 40,000 - 60,000; Full time

Job summary

A leading research university in the United Kingdom is seeking a Senior Bioinformatician to co-lead the development of a computational pipeline for multi-omic data integration. The role requires managing a team of data scientists and working closely with clinical partners. Applicants must have a PhD/DPhil with computational/statistical expertise and experience in bioinformatics and python programming. This position offers challenges at the intersection of data science and health research.

Qualifications

• PhD/DPhil with a significant computational and/or statistical element or equivalent industrial experience.
• Expertise in bioinformatics analysis of omics datasets, including single-cell and spatial multi-omics.
• Experience applying machine learning/AI methods and knowledge of python programming.

Responsibilities

• Co-lead development of a computational pipeline for integration of omics data.
• Manage CoRE data scientists to support programme objectives.
• Advise and supervise CoRE staff and students on PhD programme.

Skills

Bioinformatics analysis of omics datasets

Expertise in machine learning/AI methods

Python programming

Statistical analysis

Education

PhD/DPhil with significant computational/statistical element

Tools

R

Job description

We are looking for a Senior Bioinformatician in Exposome Immunology to join the Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences at the University of Oxford. The post-holder will co‑lead development of a CoRE computational pipeline that integrates multi‑omic data at the cellular level across exposomes and diseases, revealing novel biology and shared mechanisms of immune regulation. They will work with a team of data scientists in Manchester and Oxford towards the development of the integrated omics data analysis pipeline within the CoRE, creating omics‑based tissue atlases and associated computational models to characterise the effect of exposures on different tissues in humans and model systems.

As a Senior Bioinformatician, you will be responsible for identifying, defining and planning new projects, taking overall or shared responsibility for development of the CoRE computational pipeline for integration of omics data with other relevant datasets. You will manage CoRE data scientists to support the CoRE programme objectives and work closely with experimental and clinical partners to better understand the domain, help address scientific hypotheses and support the CoRE programme objectives. In addition, you will advise and supervise CoRE staff and students on the associated CoRE PhD programme on a day‑to‑day basis.

You must hold a PhD/DPhil with a significant computational and/or statistical element, or comparable industrial research experience. You must have expertise in bioinformatics analysis of omics datasets, including single‑cell and spatial multi‑omics. Previous experience applying machine learning/AI methods, including experience and knowledge of python programming, is essential. Experience of developing computational methods for omics data analysis, along with experience and knowledge of another relevant programming language (e.g. R), is desirable.