Computational Biologist/Bioinformatician

We are seeking a highly motivated and talented Computational Biologist with experience in Next Generation Sequencing data analysis and machine-learning and/or statistical modelling to join our group to study the underlying rules of T cell receptor interaction with MHC presented peptides by leveraging multimodal single cell data from various cutting-edge technologies. Familiarity with TCR/BCR or antigen data is desirable but not essential for this post.

The research in our group is focused on the use of systems/quantitative immunology to foster a better understanding of the mechanisms underpinning the regulation of adaptive immune system in healthy individuals. The aim of these studies is to pave the way to further our knowledge of functional and molecular mechanisms linked to dysregulation of the immune system in serious human health challenges such as cancers, infectious/autoimmune diseases and aging.

This position offers a unique opportunity to collaborate and/or network with world-leading scientists from various disciplines, including but not limited to the labs of T cell immunology (Prof Ogg); Gastroenterology (Prof Simmons), Statistics and Protein Informatics (Prof Deane), Structural Immunology (Prof Rossjohn) and Single Cell Immunology (Dr Antanaviciute).

You will hold a PhD/Dphil of relevance to systems and quantitative immunology experience of research within bioinformatics. A strong background in machine-learning/or and statistical inference and/or data science is essential. You will possess the ability to independently plan and manage a research project. A background or knowledge in T and B cell Immunology and experience of computational biology of immune repertoire data (TCRs and BCRs) is desirable.

The post is full-time and fixed-term for up to 3 years, with a possibility of extension. Flexible working can be discussed during the interview process.

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.

Only applications received before 12:00 midday on Friday 18th August will be considered.