Research Assistant/Associate in Bioinformatics
University of Cambridge Medical Research Council Cambridge Stem Cell Institute
United Kingdom

The Wellcome Trust - Medical Research Council Cambridge Stem Cell Institute (CSCI) is an international centre of excellence for stem cell research and regenerative medicine. Scientists in the Institute collaborate to advance our knowledge of various stem cell types and to perform pioneering work in translational research areas, providing the foundation for new medical treatments (https://www.stemcells.cam.ac.uk/).

Applications are invited for a skilled computational biologist/bioinformatician to join the CSCI's Core Bioinformatics Group (https://www.corebioinf.stemcells.cam.ac.uk/). The group applies and creates state-of-the-art computational methods for the understanding of the biological properties and biomedical potential of stem cells (https://www.corebioinf.stemcells.cam.ac.uk/publications). We process extensive collections of diverse samples generated by CSCI PIs or through collaborations with local and international groups. We contribute to exciting and challenging international projects to systematically disentangle gene-to-gene interactions in stem cells.

The vacant post is at Research Assistant/Research Associate level and is suitable for individuals with a BSc/MSc (Research Assistant) or PhD (Research Associate), respectively, in a relevant quantitative discipline (e.g. Computer Science, Bioinformatics, Physics, Engineering or Applied Statistics/Mathematics). You will interact daily with other bioinformaticians and periodically with members of other research groups within the CSCI. You will be expected to support junior staff members and students with appropriate computational/quantitative techniques to ensure that they are able to carry out their work in a productive and timely manner. You are also required to have excellent communication and time management skills as well as an ability to work in a multidisciplinary environment.

You will use existing cutting-edge software and help devise new methods for analysing a variety of NGS datasets including single-cell and bulk RNAseq (coding and non-coding), ChIP-seq, methylation assays, and proteomics. Experience in processing integrated multi-omics or spatial transcriptomics data is desirable. Candidates with experience in processing imaging data are also encouraged to apply.

Candidates should be familiar with a UNIX/Linux environment. Proficiency with an imperative programming/scripting language (e.g. Perl/Python/Java/C++) and statistical data analysis environments (R, Matlab) would be a strong advantage. We expect a proven understanding and experience in the field of genomics and proficiency with analysis of any type of high-throughput datasets or with the characterization of regulatory networks. Demonstrated expertise in the analysis of very large datasets and in problem solving using data science (machine learning) approaches is desirable. The post holder will be involved in both standardised and customised analyses applied on multilayer genomics, transcriptomics and epigenomics data with the aim of understanding the dynamic changes in the underlying regulatory networks. Training in specialist computational tools will be provided; an important criterion is the enthusiasm for using and developing bioinformatics tools and pipelines to advance stem cell research.

Informal enquiries are welcomed and should be directed to: Head of Bioinformatics/Scientific Computing, Dr Irina Mohorianu, iim22@cam.ac.uk.

Fixed-term: The funds for this post are available until 30 June 2024 in the first instance.

We welcome applications from individuals who wish to be considered for part-time working or other flexible working arrangements.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

Closing Date: 9 October 2022

Interview Date: TBC (Second half of October 2022)

Please ensure that you upload a covering letter outlying your motivations for applying for this role and CV in the Upload section of the online application. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.

Please include details of your referees, including e-mail address and phone number, one of which must be your most recent line manager.

Please quote reference PS33146 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.


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