1) Apply state-of-the-art computational biology and bioinformatics methods and tools to generate new or validate existing testable hypotheses from complex and large biological datasets
2) Integrate diverse and heterogeneous datasets, to facilitate mining statistical analysis and visualizations leading to a better understanding of disease mechanisms, and the correlation between phenotype and genotype in different research projects
3) Lead the development of new software applications or the customization of existing applications to meet specific scientific project needs
4) Perform data analyst functions that generate knowledge via data mining, visualization, or other analytics
This position is wholly funded by contractual grant funding which is renewed under provisions set by the grantor of the contract. Employment will be contingent upon the continued receipt of these grant funds and satisfactory job performance.
1) Knowledge in the development, optimization, automation, and operations support of analysis pipelines for high dimensional data including whole-genome, whole-exome, and RNA sequencing data
2) Ability to employ high performance computing to solve parallelizable computer problems
1) Advanced degree in Bioinformatics, Computational Biology, Computer Science, Mathematics, or a related field
1) Experience in programming for bioinformatics with scripting languages such as Perl, Python, R, Java, XML, C/C++ or SQL
2) Experience organizing and working with big data
3) Experience with next generation sequencing technologies such as BWA, Novoalign, STAR, GATK, samtools, Picard or other tools preferred.Â in analysis pipeline development of high throughput data
1) Cover Letter
NOTE: When applying, all required documents MUST be uploaded under the Resume/CV section of the application
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Staff Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via the Applicant Inquiry Form.
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Internal Number: JR06766
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