Job Summary: Illumina has developed a range of technologies for the discovery of genetic variation and the understanding of its biological significance. The Computational Biology Department supports the development of the latest Illumina sequencing instruments, chemistries, sample preparations, and their application to whole genome and targeted re-sequencing, cancer biology, metagenomics, bacteriology, de novo assembly, gene expression, methylation, structural variation and copy number variation.
As a member of the collaborations group you will be a key team member responsible for the analysis and presentation of the data generated as part of our collaborations with international external research groups. During these collaborative projects you will be working at the forefront of your research field and you will be required to develop new methods for the analysis of data and to liaise with internal teams to improve the accuracy and utility of the data generated.
You will also take part in the internal collaborations to develop new genomic analysis tools for Illumina’s sequencing data especially as it pertains to the interface between biological and clinical research. As a clear communicator you will be able to interact with scientists from a variety of backgrounds. You will be customer-focused, team-oriented and self-motivated and enjoy working in a highly collaborative and fast paced R&D environment.
We are seeking exceptional individuals to contribute to the analysis of our highly varied sequencing projects, which include cancer, microbial genomes and the integration of RNA and DNA data. Your responsibilities may include:
• Communicating with internal scientists and external collaborators throughout a project, from experimental design to finalizing analysis for presentation
•Performing analysis, visualization, interpretation, and presentation of data
•Development of sequence analysis software and applications
•Supporting internal R&D by evaluating platform improvements
We seek demonstrated accomplishment in some or all of the following skills:
• Experience in human genetics, cancer genomics and/or genetics of micro-organisms
• Analysis and visualisation of DNA sequence data
• Demonstrable experience in Perl or Python, Linux/UNIX essential, R preferred
• Experience with open-source bioinformatics tools and applied statistics
• Algorithm development
• Critical problem solving
• Superior written and verbal communication skills
Education
• MSc or PhD in bioinformatics, life sciences or mathematics/statistics
Further information on recent projects:
http://www.ncbi.nlm.nih.gov/pubmed/22915640
http://jb.asm.org/content/194/18/4857.long
http://www.nature.com/nature/journal/v463/n7278/full/nature08658.html
As a member of the collaborations group you will be a key team member responsible for the analysis and presentation of the data generated as part of our collaborations with international external research groups. During these collaborative projects you will be working at the forefront of your research field and you will be required to develop new methods for the analysis of data and to liaise with internal teams to improve the accuracy and utility of the data generated.
You will also take part in the internal collaborations to develop new genomic analysis tools for Illumina’s sequencing data especially as it pertains to the interface between biological and clinical research. As a clear communicator you will be able to interact with scientists from a variety of backgrounds. You will be customer-focused, team-oriented and self-motivated and enjoy working in a highly collaborative and fast paced R&D environment.
We are seeking exceptional individuals to contribute to the analysis of our highly varied sequencing projects, which include cancer, microbial genomes and the integration of RNA and DNA data. Your responsibilities may include:
• Communicating with internal scientists and external collaborators throughout a project, from experimental design to finalizing analysis for presentation
•Performing analysis, visualization, interpretation, and presentation of data
•Development of sequence analysis software and applications
•Supporting internal R&D by evaluating platform improvements
We seek demonstrated accomplishment in some or all of the following skills:
• Experience in human genetics, cancer genomics and/or genetics of micro-organisms
• Analysis and visualisation of DNA sequence data
• Demonstrable experience in Perl or Python, Linux/UNIX essential, R preferred
• Experience with open-source bioinformatics tools and applied statistics
• Algorithm development
• Critical problem solving
• Superior written and verbal communication skills
Education
• MSc or PhD in bioinformatics, life sciences or mathematics/statistics
Further information on recent projects:
http://www.ncbi.nlm.nih.gov/pubmed/22915640
http://jb.asm.org/content/194/18/4857.long
http://www.nature.com/nature/journal/v463/n7278/full/nature08658.html
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