Position open in the Wang lab to work on viral informatics to help understand new, emerging viruses of humans and other organisms. Projects include analysis of metagenomic NGS data, viral genome assembly and annotation, phylogenetic analysis and multiple sequence alignments, detection of recombination, and association with clinical variables. Will work closely with wet-laboratory researchers in the design of relevant experimental research protocols to test hypotheses arising from computational data.
Assists in developing and conducting research projects, including experiment design, data analysis, and documentation of experiment results.
Primary Duties & Responsibilities
Designs, develops, and implements: Algorithms and computer software for omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]. Data management and analysis solutions that aid in the storage, investigation, and dissemination of large data sets. Independent research projects, including design of research protocols and development of procedures for the collection, verification, and management of data.
Performs complex systems analysis of data and writes interpretative reports.
Evaluates commercial and academic bioinformatics software.
Trains other researchers on the everyday use of analysis software and research databases.
Assists with grant preparation and reporting of methods, data, and results.
Solves practical problems relating to difficulties with equipment or test subjects; suggests technical or procedural improvements in testing methods.
Masterâ™s degree or Doctor of Philosophy in computer science or related field highly preferred. Coursework in microbiology and/or virology a plus.
Analytical, reasoning, and problem-solving skills.
Good understanding of computational biology, probabilistic models, statistics, machine learning, and discrete mathematics.
Ability to analyze and interpret large complex data sets, such as genome sequences, microarray gene expression studies, human genetic studies, and model organism studies, and to communicate data in a clear, concise manner.
Expertise in standard bioinformatics tools.
Proficiency in scientific programming languages (e.g., Python, R, Perl, Java), in a UNIX/Linux and/or Windows environment.
Bachelorâ™s degree in computer science, bioinformatics, biostatistics, or related field plus four years of experience; or masterâ™s degree in computer science, bioinformatics, biostatistics, or related field plus two years of experience; or combined education and experience of nine years.
$53,000.00 - $96,200.00 / AnnuallyThe salary range reflects base salaries paid for positions in a given job grade across the University. Individual rates within the range will be determined by factors including one's qualifications and performance, equity with others in the department, market rates for positions within the same grade and department budget.
All external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. The screenings will include criminal background check and, as applicable for the position, other background checks, drug screen, an employment and education or licensure/certification verification, physical examination, certain vaccinations and/or governmental registry checks. All offers are contingent upon successful completion of required screening.
Washington University in St. Louis is committed to providing a comprehensive and competitive benefits package to our employees. Benefits eligibility is subject to employment status, full-time equivalent (FTE) workload, and weekly standard hours. Please visit our website at https://hr.wustl.edu/benefits/ to view a summary of benefits.
Washington University in St. Louis is committed to the principles and practices of equal employment opportunity and especially encourages applications by those from underrepresented groups. It is the Universityâ™s policy to provide equal opportunity and access to persons in all job titles without regard to race, ethnicity, color, national origin, age, religion, sex, sexual orientation, gender identity or expression, disability, protected veteran status, or genetic information.
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