Scientific Programmer (Genetics)


Research Assistant or Research Associate (depending on qualifications and experience)

Research Assistant – £25,023 – £28,982

Research Associate – £28,982 – £37,768

An exciting opportunity has arisen for a talented scientific programmer with knowledge in genetics to work on high dimensional biological data and development of analysis pipelines/software packages to facilitate genetic research at the Cardiovascular Epidemiology Unit (CEU), Department of Public Health and Primary Care (PHPC), University of Cambridge, Strangeways Research Laboratory, Worts Causeway, Cambridge, CB1 8RN 8RN the post-holder will join the Genetics Team at the CEU.

This will constitute developing programming pipelines for the analyses of high dimensional data and visualisation of results. CEU data resources include genetic data for approximately ~150,000 individuals with genotypes measured or imputed for approximately 75 million genetic variants, whole genome and whole exome sequencing performed in a subset of ~10,000 samples and extensive high dimensional phenotyping in up to 50,000 individuals with approximately 5,000 measures of protein, lipid and other metabolite profiles. The post-holder will have access to CEU’s computing clusters hosted by University’s high performance computing centre (HPC). Details of these clusters are provided in further particulars.

We invite applications from candidates with (i) PhD in Computational Biology, Bioinformatics or a related subject OR BSc (Hons) in computer science, engineering, or related discipline or equivalent experience (ii) exceptional programming skills in C or C++; Scripting Perl or Python; (iii) knowledge in data visualisation software packages; (iv) Strong quantitative (in silico) analysis skills and experience of statistical software R or Stata; (v) good interpersonal skills to develop working relationships inside and outside the multi-disciplinary group; (vi) a strong interest in chronic disease epidemiology and high dimensional data. Working knowledge of genetic analysis and experience in handling large, multi-dimensional datasets is desirable. The post-holder should also be able to work independently, accurately judge priorities, and have excellent organisational and communication skills.

Appointment at research associate is dependent on having a PhD (or equivalent experience), including those who have submitted but not yet received their PhD. Where a PhD has yet to be awarded appointment will initially be made at research assistant and amended to research associate when the PhD is awarded.

To apply online for this vacancy and to view further information about the role, please visit: This will take you to the role on the University’s Job Opportunities pages. There you will need to click on the ‘Apply online’ button and register an account with the University’s Web Recruitment System (if you have not already) and log in before completing the online application form.

Funds for these posts are available until 31st August 2018 (in the first instance)

Informal enquiries can be made to Dr Praveen Surendran: or + 44 (0)1223 748672.

Closing date: 21st September 2016

Interview Date: 4th October 2016

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 quote reference RH09959 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.


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