Bioinformatician (Data Analyst) | GenomeWeb

Bioinformatician (Data Analyst)

Organization
Edinburgh Genomics
Job Location
The University of Edinburgh, Edinburgh
United Kingdom
Job Description

We are seeking a skilled Bioinformatician Data Analyst to join our Bioinformatics team. Edinburgh Genomics is a major facility serving the UK research community. The facility's portfolio of techniques is growing dynamically and as part of our operations, we deliver high-impact informatic analyses of the data we produce. The post-holder will have core responsibilities in performing high-quality data analysis on a range of data types generated in Edinburgh Genomics from all our sequencing instrumentation, and delivered from other sequencing and genomics centres. The post includes roles in development and implementation of best-practice systems for genome assembly, transcriptome analysis and variant identification and classification.

Requirements

The post-holder must have graduate qualifications in bioinformatics or computing applied to biological questions, to MSc level or above, and a high level of skill and several years’ demonstrable experience in data analysis (particularly in the next-generation genomics area), programming and understanding of workbench and pipelining systems. Excellent project management, communication, team working, science writing, and presentation skills are essential.

How to Apply

For contact information and more information regarding job description, requirements, conditions and how to apply you should go to: https://www.vacancies.ed.ac.uk/pls/corehrrecruit/erq_jobspec_version_4.j... The closing date is Thursday, 4th September 2014.

About Our Organization

Edinburgh Genomics is a thriving, high impact, international genomics facility based at the University of Edinburgh, providing access to the latest next-generation sequencing, SNP genotyping, microarray and bioinformatics technologies to researchers worldwide. The facility is the one of the largest in the UK, with a turnover in excess of £3 million per year. Using our state of the art data generation and analysis equipment, we collaborate with research teams to enable leading-edge genomics research in all areas of the biomedical, agricultural and environmental sciences.

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