University of Texas at Austin, Center for Computational Biology and Bioinformatics
Job Title: Research Engineering/Scientist Associate V (2 positions available)
Monthly salary: $5,416+ depending on qualifications
Purpose of Position: Perform whole genome assembly, annotation, database construction and maintenance as an adjunct to various faculty research groups. Will train students, faculty, other staff. Responsible for assisting faculty and students with ongoing researh projects, University-wide bioinformatics infrastructure, and education.
Essential Functions: Define and perform genome assembly and annotation and associated database activities to support faculty research, including appropriate documentation. Contribute to the 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 aids in experimental designs that will involve computational approaches, assess the quality of input data, actively assist researchers in the production of high quality results, and to provide feedback to improve protocols, methods, and approaches. Maintain current knowledge in the field and lead efforts where necessary to improve hardware and software capability for genomics and to train users on the use of genome tools and provide guidelines for curation of those tools.
Required qualifications: Ph.D. in bioinformatics, computational biology or closely related field, and four years of related experience, or Masters degree and six years of related experience. Two or more years experience in whole genome assembly, annotation, and biological databases. 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. Ability to define problems, design studies to resolve problems, and draw valid conclusions. Ability to interpret results and analyses to ensure validity of conclusions. Strong communication, writing and presentation skills. Demonstrated technical expertise in general area of genome assembly.
Preferred Qualifications: Additional background in next-generation DNA sequencing, biostatistics and classification strongly preferred.