Computational Biologist

Location: MRC Translational Discovery Immunology Unit (TIDU), Weatherall Institute of Molecular Medicine, University of Oxford.
Contract Type: Fixed-Term for 2 years 
Hours: Full-Time – Flexible working arrangements could be considered.

About the Role

An exciting opportunity has become available in the Transactional Discovery Immunology Unit (TIDU) working on collaborative projects with Prof. Alison Simmons (Intestinal Immunity Group) and Dr Agne Antanaviciute (Computational Biology Group). We are seeking a highly motivated and talented computational Biologist to join our multidisciplinary team working in close collaboration with computational biologists, wet lab biologists and clinicians to deliver ambitious and cutting-edge research.

Emerging single cell omics techniques such as scRNA-seq, scATAC-seq, DOGMA-seq and spatial transcriptomics have revolutionized our understanding of human tissue biology in health and disease. By defining cellular heterogeneity, differentiation, and cross-talk, these techniques are capable of highlighting the molecular determinants governing development and homeostasis in health and the mechanisms underpinning cellular remodelling in disease. This has been especially true in the human intestine, where application of these and other methods have helped re-evaluate the spectrum of cellular phenotype involved in the organs diverse biological processes. This post will build on previous work from the team which has shown how the cells of the human intestine are maintained and dysregulated in diseases such as inflammatory bowel disease. A number of computational biology research projects are available in the areas of single cell RNA-Seq and multi-omics data analysis; immune repertoire analysis; spatial transcriptomics/proteomics and image analysis; and development of new computational methods and models for spatial data analysis.

About You

The successful applicant should have excellent verbal and communication skills and the ability to work independently and collaboratively within a team environment. You should have good interpersonal skills and a flexible and proactive attitude.

You should hold a PhD/DPhil in computational biology, bioinformatics, computer science or another relevant discipline.

You should have a good publication record and have familiarity with the existing literature and research field.

You should be proficient in Python and/or R, BASH, working in HPC environments and have experience analysing large scale sequencing data.

About the Radcliffe Department of Medicine (RDM) 

The Radcliffe Department of Medicine (RDM) within the Medical Sciences Division is one of the largest departments in the University of Oxford. RDM is a multi-disciplinary department which aims to tackle some of the world’s biggest health challenges by integrating innovative basic biology with cutting edge clinical research.

Benefits of working 

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

See https://hr.admin.ox.ac.uk/staff-benefits for more information.

Application Process 

“Committed to equality and valuing diversity”

Applications for this vacancy are to be made online. You will be required to upload a supporting statement and CV as part of your online application. The supporting statement should include a cover letter and should also clearly describe how you meet each of the selection criteria listed in the job description. Click here for more information and advice on how to write an effective supporting statement.

Only applications received before 12:00 midday on 19/06/2024 will be considered.

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