Research - Laboratory/Non-Laboratory, Staff/Administrative
Washington University is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, national origin, genetic information, disability, or protected veteran status.
This position is full-time and works approximately 40 hours per week.
Department Name/Job Location:
This position is in the Department of Pathology/Immunology - Immunobiology. This position is for the Medical School Campus.
Assists in developing and conducting research projects, including experiment design, data analysis, and documentation of experiment results.
PRIMARY DUTIES AND 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.
Bachelor’s degree in computer science, bioinformatics, biostatistics, or related field plus four years of experience; OR master’s degree in computer science, bioinformatics, biostatistics, or related field plus two years of experience; OR combined education and experience of nine years.
Master’s degree or Ph.D. in computer science or related field highly preferred.
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.
The hiring range for this position is $53,830 - $72,675 annually.
All external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. Current employees applying for a new position within the university may be subject to this requirement. The screenings will include a criminal background check and, as applicable for the position, other background checks, drug screen, 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.
Please attach a copy of your most current signed performance evaluation (completed within the last 18 months) to your online account. If you have not received a performance evaluation, you may provide two current signed letters of recommendation (written within the last 18 months), preferably to include one letter from either a current or recent former supervisor. To attach these documents, go to: My Career Tools, Add Attachment, Attachment Type – Performance Reviews or Letters of Recommendation.
Washington University in St. Louis, a medium-sized, independent university, is dedicated to challenging its faculty and students alike to seek new knowledge and greater understanding of an ever-changing, multicultural world. The University offers more than 90 programs and almost 1,500 courses leading to bachelor's, master's and doctoral degrees in a broad spectrum of traditional and interdisciplinary fields, with additional opportunities for minor concentrations and individualized programs. The faculty is composed of scholars, scientists, artists and members of the learned professions. They serve society by teaching; by adding to the store of human art, creativity, understanding, and wisdom; and by providing direct services, such as health care.