Research Assistant / Associate in Statistical Genetics
University of Cambridge Department of Public Health and Primary Care
United Kingdom

Research Assistant: £26,715 - £30,942

Research Associate*: £32,816 - £40,322

We are currently seeking a talented and highly motivated researcher to join our team at the Cambridge Baker Systems Genomics Initiative and the Cardiovascular Epidemiology Unit (CEU) in the Department of Public Health and Primary Care (DPHPC). The post will suit an ambitious researcher, who is interested in applying their skills in the statistical analysis of functional genomics data, including eQTLs, Mendelian randomisation, and integrative methodologies.

CBSGI and CEU conduct world-leading interdisciplinary research with a major focus on the development of statistical and machine learning approaches as well as the application of bespoke approaches to multi-omics data from studies of >100,000 participants, with the goal of improving the prediction and prevention of cardiometabolic, respiratory and related diseases. The Director of CBSGI is Associate Professor Michael Inouye, a Principal Researcher in Systems Genomics at the University of Cambridge and the position's supervisor. The CEU (Director: Prof John Danesh) conducts world-leading interdisciplinary research with a major focus on the prediction and prevention of cardiovascular diseases using studies conducted in more than 2.5 million participants. More information about our collective interests and activities can be found at http://www.phpc.cam.ac.uk/ceu/ and http://www.inouyelab.org/.

The successful role-holder will have prepared research objectives consistent with the goals of the Initiative and be ready to present these at interview for their own and joint research whilst on the project. The research should be written up for presentation and the role holder may support the PI on preparing grant applications for ongoing research; specific projects on which the candidate could gain involvement include, e.g., large-scale eQTL mapping and Olink proteomics analyses.

The Department runs an MPhil and research staff are encouraged to be involved in the delivery of the MPhil programmes. The post-holder will be expected to work with the wider team in driving successful results to initiatives being run by the partnership.

The post-holder will also be expected to evaluate and develop the statistical methods necessary to test hypotheses of interest, such as those listed above and advise on appropriate statistical practices. The work of the post-holder is expected to lead to first author high-impact publications.

Essential Qualifications/Skills*:

  • PhD in a quantitative field such as Statistical Genetics, Biostatistics, Bioinformatics, Systems Biology, Statistics, Computer Science, Mathematics or equivalent qualifications or equivalent experience
  • In-depth knowledge of and demonstrated experience in statistical genetics (e.g. GWAS, QTL analysis, polygenic risk scores)
  • Strong quantitative (in silico) analysis skills using statistical programming packages such as R.
  • Experience with programming and scripting languages (e.g. C, C++, Java, Python).
  • Experience with RNA sequencing and/or eQTL analysis
  • Experience working with Linux and high performance computing.
  • Excellent communication and collaboration skills.

Desired Knowledge/Skills:

  • Demonstrated statistical/computational methods development and software
  • Experience with proteomics or metabolomics.
  • Working knowledge of electronic health records

In addition to these skills, the post-holder should also be able to work independently judging priorities and have excellent organisational and communication skills.

*Appointment at research associate is dependent on having a PhD (or equivalent experience is recognised), including those who have submitted but not received their PhD. Where a PhD has yet to be awarded or submitted appointment will initially be made at research assistant and amended to research associate when the PhD is awarded. If an individual has not submitted a PhD or is not working towards one they could be appointed as a Research Assistant if they have either a degree (degree and/or Master/s) in a relevant area or equivalent experience.

We welcome applications from individuals who wish to be considered for part-time. The funds for this post are available until 31st March 2022 in the first instance.

This is a full-time post. We welcome applications for part time working of no less than 80% FTE.

The post-holder will be based at Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Worts Causeway, Cambridge, CB1 8RN (approx. 2 miles south of city centre). The post has flexible working hours and lends itself easily to working from home.

Informal enquiries can be made to Dr Michael Inouye by email mi336@medschl.cam.ac.uk.

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

Closing Date: 24th August 2020

Interview Date: Week commencing 7th September 2020

Please ensure that you upload a covering letter and CV in the Upload section of the online application. The covering letter should outline how you match the criteria for the post and why you are applying for this role. 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 RH23570 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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