The candidate will perform bioinformatic and statistical analysis as an adjunct to various faculty research groups. Will train students, faculty and other staff and be responsible for assisting faculty and students with ongoing research projects, university-wide bioinformatics infrastructure and education.
Define and perform analysis of next-generation DNA sequence data including but not limited to: variant detection, RNA-seq, and ChIP-seq analysis, support faculty research, including appropriate documentation of work done. Contribute to development and maintenance of infrastructure related to bioinformatics, including selection, installation, and maintenance of software as well as associated documentation including analysis summaries, code documentation, and user documentation. Assist research groups on a consulting basis with any of the following: sequence analysis, genome annotation, computational evolutionary biology, analysis of gene or protein expression, analysis of regulation, protein structure or docking prediction, comparative genomics, or modeling biological systems. Establish productive working relationships with the various user groups and aid in experimental designs that will involve computational approaches. Assess the quality of input data and actively assist researchers in the production of high quality results. Provide feedback to improve protocols, methods and approaches. Maintain current knowledge of computational biology and lead efforts, where necessary, to improve hardware and software capability for genomics. Train users on the use of genome tools and provide guidelines for curating those tools.
Other related functions as assigned.
Bachelor's degree. Four years of experience in the field of research. Two or more years experience with analysis of next-generation DNA sequence analysis including quantitative analysis or equivalent high-throughput biological data (e.g. microarrays). Demonstrated mastery of UNIX/Linux and proficiency with some combination of Perl, Python, Java/J2EE, C, C++ and extensive knowledge of relational databases, schemas, and SQL queries. Strong communication, writing and presentation skills Equivalent combination of relevant education and experience may be substituted as appropriate.
Master's degree in bioinformatics, computational biology or closely related field. Additional background in genome assembly, annotation, and biological databases preferred. Demonstrated technical expertise in general area of genome assembly. Ability to define problems, design studies to resolve problems, and draw valid conclusions. Ability to interpret results and analyses to ensure validity of conclusions.
May work around standard office conditions May work around biohazards May work around chemicals May work around electrical and mechanical hazards Repetitive use of a keyboard at a workstation Use of manual dexterity