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Bioinformatics Core Assistant Director

Organization

Purdue University

Job Location

155 SOuth Grant St
West Lafayette, IN 47907
United States

Benefits

To learn more about Purdue’s benefits summary, please visit https://www.purdue.edu/hr/benewell/

Job Description

The Bioinformatics Core at Purdue supports biological research efforts across the University through data analyses combining research in biology with information technology in order to collect, analyze and interpret data. In this role, you will use computational tools to gather and analyze data, compile vast amounts of information from activities such as gene expression profiling and epigenomics, etc., especially in non-model organisms and consult with other scientists and researchers to analyze data sets, collaborate with other 'omics' centers. Additional duties will include: Assist the Director in managing the core, develop new services, market current services, developing and conducting workshops and developing pipelines for data analysis Perform analysis of sequencing data from various sequencing platforms using different software packages and in-house scripts Analyzing large scale genomic and transcriptomic data, developing project specific workflows Validating various software packages Help the director to plan and implement analysis methods and manage the projects Document the analysis process, workflows, interpret results, and help other staff to maintain these standards Attend conferences, trainings, seminars, and professional group meetings

Requirements

Ph.D. degree in Bioinformatics, Computational Biology, Molecular Biology or related field 3 years of experience working in a core facility or similar settings An equivalent combination of education and experience may also be considered Strong biological science background, preferably non-model organisms; experience in genomics, and experience in handling large data sets from various NGS platforms Experience in handling large and complex data sets with particular emphasis on Next Generation Sequencing and associated bioinformatics analyses Experience in the use and application of bioinformatics software and tools to address biological research needs Experience in training and supervising graduate students and staff working in bioinformatics analyses Experience in SNP identification and detection, CNV analysis, RNA-Seq, ChIP-Seq, Metagenomics/Metatranscriptomics analyses Experience in using UNIX/LINUX OS and PERL/Python scripting Experience in using 'R' Knowledge of genomics concepts, including sequence assembly, gene prediction and annotation, alignment etc. Must be able to communicate effectively with users of the Bioinformatics Core Highly motivated and detail oriented Strong visual, verbal, and written communication skills Excellent time organizational skills

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