Apply and modify existing computational pipelines and tools to analyze genomic data.
Design new bioinformatics and statistical tools for analysis of genomic data and evaluate their performance.
Implement or modify existing web-based bioinformatics tools.
Participate in the design and implementation process through sequencing data analysis.
Support all phases of bioinformatics activities by helping devise or modify procedures to solve complex problems.
Assist with the executions, tests and actively seeks project specific solutions.
Work in collaboration with others working to complete projects in a timely and efficient manner.
Transfer abstract workflows into production level software.
Data analysis of high throughput genomics, transcriptomics, and genetic data.
Customize existing applications to meet specific scientific project needs.
Assist in creating data algorithms and specialized computer software to identify and classify components of a biological system.
Support the development of data models, databases or software applications.
Develop novel integrative analysis strategies of multi-layer omics data.
Contribute to the development of training, tools, and process documentation.
Produce, present and discuss high quality data analysis reports.
Participate in the communication of results through scientific publications.
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.
Bachelorâ™s degree in Bioinformatics, Computational Biology, Computer Science, Mathematics, or a related field.
Experience working on the analysis of the microbiota and microbiome associated data sets with a range of different experimental and clinical samples.
Experience with next generation sequencing technologies and data.
Experience with algorithmic techniques, data structures, and scientific programming.Â
Experience with website development and administration.
Technical Skills or Knowledge:
Experience in programming for bioinformatics with scripting languages such as Perl, Python, R, Java, XML, C/C++ or SQL.
Experience working on Linux and/or Unix systems, bash scripting.
Knowledge of research techniques or methods.
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.
Ability to work with teams of clinicians, biologists, bioinformaticians and/or biostatisticians to provide hands-on technical support.
Ability to do big data analysis.
Cover Letter (required)
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