Research Associate in Computational Biology (in partnership with the Earlham Institute)

Alan Turing Institute London United Kingdom Research Programmes Hybrid
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Company Description

Named in honour of Alan Turing, the Institute is a place for inspiring, exciting work and we need passionate, sharp, and innovative people who want to use their skills to contribute to our mission to make great leaps in data science and AI research to change the world for the better.

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The Alan Turing Institute is partnering with The Earlham Institute (EI) as part of the EI’s Institute Strategic Programme on Cellular Genomics. The Earlham Institute is a life science research institute that specialises in data-driven biological research and infrastructure. The aim of the partnership is for the Turing to contribute computational expertise to the analysis and characterization of the implication of cellular heterogeneity through a wide range of biological data sources, including genome sequences, gene expression data, and gene regulatory networks, as well as biological databases, ontologies, and research articles.


The Alan Turing Institute is recruiting a full-time postdoctoral research associate to contribute to the development and application of computational biology methods for the analysis of genome sequences, gene expression data, and gene regulatory networks. Additionally, the research associate would develop methods for mining the contents of published biological research, databases, and ontologies.

In particular the research associate will investigate:

· gene expression analysis and the inference of gene regulatory networks in the context of karyotype changes and programmed polyploidy

· the functional relevance of alternative splicing, and in particular the way in which regulatory networks are rewired by alternative splicing

· automated metadata enrichment and ontology building through automated extraction of ontological information from the natural language contents of academic publications.

The Research Associate will likely use network analysis, machine learning, pattern detection, and text-mining approaches.


  • Contribute to the development of computational methods for the analysis of genome data, gene expression data, and gene regulatory networks
  • Contribute to the development of text-mining approaches and ontology building
  • Research and adapt existing research tools in other domains
  • Build collaborative links inside, between, and outside the Alan Turing and Earlham Institutes.
  • Organise workshops and seminars to bring together researchers to discuss findings in context
  • Disseminate findings through peer-reviewed articles and at seminars, workshops, and conferences.


  • PhD (awarded or awaiting viva) or equivalent research experience/qualifications in a relevant area in Natural Science, Mathematics, Computer Science
  • Programming experience, including machine learning, AI, or data science
  • Research experience in computational biology, bioinformatics, or closely related area
  • Good written and oral communication skills, presenting research in publications and talks
  • Ability to seek out and build collaborations within Turing and Earlham, and externally

Other information


If you are interested in this opportunity, please click the apply button below. You will need to register on the applicant portal and complete the application form including your CV and covering letter. If you have questions about the role or would like to apply using a different format, please contact us on 020 3862 3533 or 0203 862 3516, or email [email protected].



This full time post is offered on a fixed term basis until 31 March 2025 with the expectation to be extended to 31 March 2028, subject to funding.

The annual salary is £42,893 - £48,510 dependent on previous relevant experience and skills plus excellent benefits, including flexible working and family friendly policies,

Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant at a salary of £40,148 per annum

If you are applying for more than one role at the Turing, please note that only one Cover Letter can be visible on your profile at one time. If you wish to apply for multiple roles and do not want to overwrite your existing Cover Letter, please apply for the role using the button below and forward your additional cover letter directly to [email protected] quoting the job title.

If you are an internal applicant and wish to apply, please send your CV and Cover Letter directly to [email protected] and your application will be considered.

The Alan Turing Institute is based at the British Library, in the heart of London’s Knowledge Quarter. We expect staff to come to our office at least 4 days per month. Some roles may require more days in the office; the hiring manager will be able to confirm this during the interview.


The Alan Turing Institute is committed to creating an environment where diversity is valued and everyone is treated fairly. In accordance with the Equality Act, we welcome applications from anyone who meets the specific criteria of the post regardless of age, disability, ethnicity, gender reassignment, marital or civil partnership status, pregnancy and maternity, religion or belief, sex and sexual orientation.

We are committed to making sure our recruitment process is accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at [email protected] to find out how we can assist you.