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Research Associate - Computational Biology (Fixed Term)


Applications are invited for a full-time Research Associate to work with the groups of Professor Tony Green, Professor Bertie Gottgens, Dr Elisa Laurenti and Dr David Kent in the Cambridge Stem Cell Institute (https://www.stemcells.cam.ac.uk/) on the Cambridge Biomedical Campus.

The Green/Gottgens/Laurenti/Kent groups have an international track record in applying state of the art single cell genomics and other computational biology approaches to the study of normal and malignant blood stem cells (for example: Scialdone et al Nature 2016, Park et al EMBO J 2016, Wilson et al Cell Stem Cell 2015, Laurenti et al Cell Stem Cell 2015).

Building on their track record in single cell transcriptomics, the four groups are currently generating numerous new datasets to investigate transcriptional programs in both normal and malignant blood cell differentiation. The postholder will work alongside an existing team of four bioinformaticians, and also join into our existing collaborative network with other groups in this field (for example the Marioni group in Cambridge and Theis group in Munich).

The successful candidates must have a PhD (or equivalent) in a relevant subject. Proficiency in R and/or Python is a requirement. Experience of analysing and interpreting single cell genomics or regulatory genomics datasets would be advantageous, as would be an interest in stem cell/cancer research. The ability to work independently together with excellent communication, organisational and problem solving skills are all essential.

For informal enquiries, please contact Professor Bertie Gottgens via haemsec@hermes.cam.ac.uk. Chris Caulfield is responsible for the recruitment for this post and can be contacted on haemhr@hermes.cam.ac.uk.

Fixed-term: The funds for this post are available for 3 years in the first instance.

Once an offer of employment has been accepted, the successful candidate will be required to undergo a health assessment.

To apply online for this vacancy, please click on the 'Apply' button below. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.

Please ensure that you upload a covering letter 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 email address and phone number, one of which must be your most recent line manager.

Closing date for applications is the 18th October 2017, with interview dates yet to be confirmed by the department.

Please quote reference RB13368 on your application and in any correspondence about this vacancy.

The University values diversity and is committed to equality of opportunity.

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

Further information

Apply online