Design, development and implementation of data analysis tools and pipelinesâ‹.
Apply or modify existing procedures to solve complex problems in research projects.
Design and perform formal evaluation of bioinformatics methods and statistical tools for the analyses of epigenetic and gene expression data.
Implement or modify web-based bioinformatics tools.
Develop programs to perform analyses and generate both routine and ad hoc reports.
Manipulate publicly accessible, commercial, or proprietary genomic, proteomic, or post-genomic databases.
Develop novel integrative analysis strategies of multi-layer omics data.
Provide bioinformatics support to students and other team members.
Contribute to the development of training, tools, and process documentation.
Interprets data analysis of high throughput genomics, proteomics and genetic data.
Plans own resources to implement or modify existing web-based bioinformatics tools
Performs other related work as needed.
Advanced degree in Bioinformatics, Computational Biology, Computer Science, Mathematics, or a related field.
Two years of relevant experience.
Experience in programming for bioinformatics with scripting languages such as Perl, Python, R, Java, XML, C/C++ or SQL.
Experience with next generation sequencing technologies.
Experience with algorithmic techniques, data structures and scientific programming.
Knowledge of research techniques or methods.
Knowledge of theoretical and appliedÂ statistics.
Ability to work independently and as part of a team.
Ability to write research publications.
Ability to work on multiple projects simultaneously, set priorities and meet deadlines.Â Â Â Â Â
Ability to do big data analysis.
Cover Letter (required)
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