英国牛津大学生物信息学博士后职位

2014-03-03 09:11 来源: 未知 作者: liuxuehr

The Bond & Schuster-Boeckler research groups are seeking an enthusiastic and motivated computational Postdoc Scientist/Bioinformatician with experience in managing cancer genetics projects that incorporate large genome-wide datasets. You will have had previous exposure to NGS bioinformatics tools such as bowtie, macs or tophat and knows how to use statistical tools such as R to evaluate hypotheses based on observed data. Fluency in at least one common scripting language and experience with cluster-computing environments are also expected.

The Ludwig Institute for Cancer Research is a global non-profit research organisation committed to improving the control of cancer through integrated laboratory and clinical research and novel therapeutic strategies based on the emerging understanding of cancer. The overarching focus of the Oxford Branch, hosted within the University of Oxford, is to identify molecular drivers of tumourigenesis and cancer progression, with the aim of benefitting patients.

You will have the opportunity to work on an exciting project that requires close collaboration with bench scientists, clinicians and other groups within the Institute and at other universities. For this reason, excellent communication and inter-personal skills are essential, along with an excellent track record for publishing and presenting scientific discoveries. Previous work, either during or after the PhD (or equivalent), that featured a significant computational component is essential.

As part of the project we also aim to develop publicly accessible resources. An understanding of web technology, in particular client and server-side Javascript, are highly desirable qualities.

If you are interested in this role, and have the skills and experience we are looking for, please apply online. You are also welcome to contact us for more details. The full job description can be found below.

Only applications received before 12.00 noon on 19 March 2014 will be considered.

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