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 responsible for performing innovative data analyses on neuroimaging and related data. Develop and implement computer algorithms for analyzing that data. Assume major responsibility for software and hardware development and implementation in a neuroimaging-focused, neuroscience lab.
Develop and apply advanced statistical and analytical approaches to neuroimaging and related data using MATLAB tools and R routines for the purpose of analyzing neuroimaging data.
Design, develop, and implement computer algorithms and software for analyzing MRI and Optical Neuroimaging data and maintain data analysis programs developed over time for those data for neuroimaging-related neuroscience research purposes.
Evaluate and resolve software problems for both existing and developing analysis streams for the purpose of processing and analyzing neuroimaging data.
Prepare program descriptions and documentation both for newly developed and existing analysis software for the purpose of processing and analyzing neuroimaging data.
Bachelor’s degree preferably in Engineering, Physics, or equivalent. Experience in similar research labs or environments, preferred.
Willingness and ability to make programs useful for researchers with varying levels of computer skills.
Applicant must have excellent communication skills and be adept at interacting with individuals from a wide range of research labs in Neurology, Psychology, Psychiatry, Radiology and Neuroscience.
Ability to design new hardware and modify existing hardware for opto-electronics.
Familiarity some of standard computer programming languages (MATLAB, Python, C/C++, csh, bash). Familiarity preferred with some of statistical packages (SPSS, SAS, R), psychological testing tools (Eprime, psychtoolbox) and/or neuroimaging software packages (FSL, SPM, FreeSurfer, AFNI and 3D Slicer).
This position is full-time and works approximately 40 hours per week.
Department Name/Job Location:
This position is in the Department of Radiology - Rad Sciences. This position is for the Medical School Campus.
The hiring range for this position is $51,293 - $66,685 annually.
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.
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.
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.