DESIRED QUALIFICATIONS:
• Four-year college degree in bioinformatics, biostatistics, computational biology, computer science, or similar, with a strong publication record.
• Solid understanding of unix and computer science analysis of algorithms and ability to conceptualize algorithms
• Alternatively, a PhD in one of the aforementioned fields (or similar) combined with a very strong record of data analysis.
• Working knowledge and a solid understanding of biological principles, metagenomics, bioinformatics terminology, and common sequence alignment programs (eg. Bowtie).
• An understanding of the statistical principles behind current best practices in high-throughput molecular data analysis.
• Strong experience in the use of a high-level programming language such as R, MATLAB, Python or Perl for complex data analysis.
• Ability to generate novel pipelines to analyze unique types of data.
• Proficiency with Unix systems and queuing systems (e.g. SLURM).
• Familiarity with reproducible computing research paradigms including Docker.
• Willingness and ability to generate figures and text for papers
EDUCATION & EXPERIENCE (REQUIRED):
• Bachelor's degree and three years of relevant experience or combination of education and relevant experience.
• Experience in a quantitative discipline such as economics, finance, statistics or engineering.
KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):
• Substantial experience with shell, command line and analytical programs including unix.
• Excellent writing and analytical skills.
• Ability to prioritize workload.
CERTIFICATIONS & LICENSES:
None
PHYSICAL REQUIREMENTS*:
• Sitting in place at computer for long periods of time with extensive keyboarding/dexterity.
• Occasionally use a telephone.
• Rarely writing by hand.
* - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.
WORKING CONDITIONS:
• Some work may be performed in a laboratory or field setting.
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