BACKGROUND

RESPONSIBILITIES

• Collect, organize, curate, and store large amounts of raw data to facilitate completion of other tasks and provide other staff with open access to non-manipulated data.
• Perform biostatistical analyses on datasets using Frequentist, Bayesian, and machine learning approaches appropriate for both the data and scientific question.
• Develop and implement bioinformatics pipelines and analysis methodologies.
• Write and implement computer algorithms, scripts, functions, and/or classes for analysis automation using Perl, Python, Java, MATLAB, or similar computer programming language.
• Maintain and operate one or more Linux computer workstations to allow for development and use of first-, second-, and third-party-sourced software for both completion of related tasks and open access to other staff.
• Train other staff members to operate pre-existing and newly-developed analysis methods as required for project completion.
• Provide experimental design support and consultation from an analytics perspective on capabilities and potential outcomes before, during, and after an experiment conducted.
• Assist Principal Investigators in preparation of standard operating procedures, technical reports, and manuscripts for publication.

REQUIREMENTS

LOCALE

HOW TO APPLY