Scheduled Hours

40

Position Summary

Assists in developing and conducting research projects, including experiment design, data analysis, and documentation of experiment results

Job Description

Primary Duties and Responsibilities

Designs, develops, and implements:

• Algorithms and computer software for automated rodent behavioral training and video analysis, omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical.] Implement pipelines to analyze and reconstruct microscopy images and large data sets of neurophysiology recordings.
• Design and develop machine-learning techniques.
• Data management and analysis and data visualization 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; suggests technical or procedural improvements in testing methods.

 

Preferred Qualifications

• Education or experience in neuroscience, computer science, engineering, data science, mathematics, statistics, or a related field.
• Analytical reasoning and problem-solving skills.
• Strong background in scientific computing/programming (Matlab, Python, R, C, etc.) and statistical analysis.
• Strong written and oral communication skills, optimally including writing scientific manuscripts and presentations.
• Detail-oriented and excellent record-keeping skills.
• Ability to work well independently or as a team member and willing to train others in utilizing developed methodologies.
• Strong background in either image analysis, computer vision, or machine learning is preferred.

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.

Applicant Instructions

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