Research Assistant/Associate - Bioinformatician (Fixed Term)
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
Informal enquiries are welcomed and should be directed to: Head of
Bioinformatics/Scientific Computing, Dr Irina Mohorianu, email@example.com.
Fixed-term: The funds for this post are available until 30 June 2024 in the
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.
Wellcome Trust - Medical Research Council Cambridge Stem Cell Institute
13 September 2022
9 October 2022