Genetic Analyst - Research Assistant/Research Associate/Senior Research Associate (Fixed Term)

University of Cambridge - Department of Public Health and Primary Care

*NB: The status of Senior Research Associate is awarded on the basis of individual merit and may be awarded to the successful candidate if approved by the Faculty Board of the Cambridge School of Clinical Medicine*

Research Assistant - £25,728 - £30,688

Research Associate - £31,604 - £38,833

Senior Research Associate - £39,992 - £50,618

We seek a dynamic and talented analyst to join a team of researchers working on large-scale genomic and proteomic studies in the Cardiovascular Epidemiology Unit (CEU) in the Department of Public Health and Primary Care at the University of Cambridge.

The post-holder will perform genome-wide association studies (GWAS) of human quantitative molecular phenotypes, with a particular emphasis on levels of plasma proteins. The aim of such protein quantitative trait locus ('pQTL') mapping studies is to systematically identify the genetic factors which influence levels of different proteins, and use this information to better understand genetic susceptibility to different diseases. The CEU houses large-scale genetic (including whole-exome and whole-genome sequencing) and molecular (including proteomic) data generated on participants in the INTERVAL study and other emerging population studies from the UK and South Asia. In addition to analysing these in-house datasets, a key role of the post-holder will be meta-analysis of GWAS results within consortia led by CEU scientists involving over tens of thousands of participants.

Essential qualifications, skills and experience:

- Relevant post-graduate training in genetic epidemiology or applied statistics (e.g. Masters or PhD in Statistical Genetics, Genetic Epidemiology, Biostatistics, Computational Biology, or have equivalent experience).

- Be able to programme fluently in a statistical language, eg, R.

- Knowledge of applied statistics.

- Have analysed large datasets.

- Experience of conducting applied analyses.

Desirable qualifications, skills and experience:

- Be able to use unix command line tools

- Experience using genetic analysis software (eg, PLINK, SNPTEST, or METAL).

- Experience of parallelisation using computing clusters.

- Experience of meta-analysis.

- A track record of performing genome-wide association studies, QTL mapping or similar ¿omic studies.

Appointment at Research Associate level 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.  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 (and/or Master's) in a relevant area or equivalent experience.

The funds for these posts are available until 30th June 2021

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

Department of Public Health and Primary Care, Strangeways Research Laboratory, Worts Causeway, Cambridge CB1 8RN (approx 2 miles south of city centre)

Informal enquiries can be made to Dr James Peters (jp549@cam.ac.uk).

To apply online for this vacancy and to view further information about the role, please visit:

http://www.jobs.cam.ac.uk/job/17186.

Closing date: 14th May 2018

Interview Date: 30th May 2018

Please quote reference RH15272 on your application and in any correspondence about this vacancy.

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