Core Bioinformatician (Research Associate)
University of Cambridge - Wellcome Trust/Cancer Research UK Gurdon Institute
|Salary:||£28,982 to £37,768|
|Contract Type:||Contract / Temporary|
|Placed on:||3rd October 2016|
|Closes:||31st October 2016|
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The Wellcome Trust/Cancer Research UK Gurdon Institute, a leading cancer and developmental biology research institute with a vibrant computational environment, is seeking a person to join the Core Bioinformatics group, supporting research throughout the Institute.
The person appointed will have a PhD or equivalent in a scientific, computational or mathematical subject. Applicants with a scientific background are expected to demonstrate a sound understanding of molecular biology and experience in computational techniques used in the analysis of biological data. Applicants from computational or mathematical backgrounds are expected to demonstrate applied computational experience along with demonstrable knowledge and experience of biological research. Applicants from both backgrounds should have a good understanding of statistical methods and their application to large data sets. Expertise in protein sequence and structure, analysis of NGS or other high-throughput data, sequence motif detection, or management of computing clusters would be an asset.
The Core Bioinformatician will work within a small team to: 1) analyse and carry out project requirements from scientists' descriptions; 2) provide clear explanations of computational methods and techniques to bench scientists; 3) liaise with other bioinformaticians within and outside of the Institute. It is also expected that s/he will contribute to scientific papers. Good oral and written communication skills are essential. The person appointed will have the ability to multi-task and prioritise work effectively. The person is expected to keep up to date with the field, also contributing towards and co-authoring scientific papers.
Limited funding: The funds for this post are available for 2 years in the first instance.
To apply online for this vacancy and to view further information about the role, please visit:
www.jobs.cam.ac.uk/job/10817. 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.
Informal enquiries can be addressed to Alex Sossick (firstname.lastname@example.org). Please quote reference PR09546 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. Benefits include generous maternity/paternity leave, flexible working and funds for returning carers and other family-friendly schemes.
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