Scheduled Hours

40

Position Summary

A Bioinformatician position is available in the Division of Infectious Diseases at the Department of Medicine. We are seeking a talented, self-motivated Bioinformatics Scientist with background in developing data processing pipelines and omics data analysis to support our NIH-funded research projects on innate and adaptive immune response to HIV infection using in vitro and mouse models. Under the direction of the principal investigator, this individual will apply computational techniques in analyzing large-scale genomics/transcriptomics/microbiome data, create data-driven models and data visualizations, write and prepare manuscripts and other materials for internal and external audiences, and assist in grant applications.

Job Description

Primary Duties and Responsibilities

• Designs, develops, and implements: Algorithms and computer software for omics-based data; machine-learning techniques; 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.

Preferred Qualifications

• Masterâ™s degree or Ph.D. in computer science or related field highly preferred.
• Experience in single cell omics data analysis and machine learning.
• Strong background in scientific computing/programming (Matlab, Python, R, C, etc.) and statistical analysis.
• Analytical, reasoning, and problem-solving skills.
• Detail-oriented and excellent record-keeping skills.
• Good understanding of computational biology, probabilistic models, statistics, machine learning, and discrete mathematics.
• Expertise in standard bioinformatics tools.

Required Qualifications

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.

Grade

R11

Salary Range

$51,400.00 - $93,400.00 / Annually

The 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.

Pre-Employment Screening

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.

Benefits Statement

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.

EEO/AA Statement

Washington University is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration without regard to an individualâ™s sex, race, color, religion, age, disability status, protected veteran status, national or ethnic origin, gender identity or expression, sexual orientation. Women, minorities, protected veterans and the disabled are strongly encouraged to apply.

Diversity Statement

Washington University is dedicated to building a diverse community of individuals who are committed to contributing to an inclusive environment â“ fostering respect for all and welcoming individuals from diverse backgrounds, experiences and perspectives. Individuals with a commitment to these values are encouraged to apply.

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