Washington University in St Louis
Senior Neuroimaging Engineer - Neurology
Washington University in St Louis, Saint Louis, Missouri, United States, 63146
Scheduled Hours
40 Position Summary
Performs innovative data analysis and/or data management expertly using statistical packages. Assists investigators and supervises students and technicians in the design of experiments, clinical trials, and epidemiological studies. May be required to assume major responsibility on large project. Job Description
Primary Duties & Responsibilities High Level Data Analysis Performs advanced analyses on neuroimaging data (structural MR/fMRI/PET). Supervises staff, students and post docs in the use of neuroimaging processing, analysis and viewing tools and psychological testing tools. Hardware Management Manages and maintains the shared stimulus presentation and subject response monitoring equipment. Evaluates and/or designs new hardware to facilitate implementation of new experiments on the MR scanners. Prepares documentation on usage of the hardware and assists staff, students and post docs in usage of the equipment. Software Development Designs new analysis pipelines for neuroimaging data. Develops and modifies psychological testing tools. Software Maintenance Resolves technical issues with data collection, processing and analysis. MR Data Acquisition Optimizes MR pulse sequence files used for acquiring MR data. Preferred Qualifications Experience managing and training staff. Fluency in standard computer programming languages (MATLAB, Python, C/C++, java, csh, bash), statistical packages (SPSS, SAS, R), psychological testing tools (Eprime, psychtoolbox) and neuroimaging software packages (FSL, SPM, FreeSurfer, AFNI and 3D Slicer). Demonstrated ability to create complex analysis routines within reasonable timeframes. Willingness and ability to make programs useful for researchers with varying levels of computer skills. 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 the presentation of auditory and visual stimuli and the recording of vocal and motor responses. Required Qualifications
Bachelor’s degree in relevant discipline. Minimum of five years of experience in a similar research lab or comparable environment. Grade
G13 Salary Range
$65,900.00 - $112,700.00 / Annually Accommodation
If you are unable to use our online application system and would like an accommodation, please email CandidateQuestions@wustl.edu or call the dedicated accommodation inquiry number at 314-935-1149 and leave a voicemail with the nature of your request. Pre-Employment Screening
All external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. EEO/AA Statement
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. Diversity Statement
Washington University is dedicated to building a diverse community of individuals who are committed to contributing to an inclusive environment.
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40 Position Summary
Performs innovative data analysis and/or data management expertly using statistical packages. Assists investigators and supervises students and technicians in the design of experiments, clinical trials, and epidemiological studies. May be required to assume major responsibility on large project. Job Description
Primary Duties & Responsibilities High Level Data Analysis Performs advanced analyses on neuroimaging data (structural MR/fMRI/PET). Supervises staff, students and post docs in the use of neuroimaging processing, analysis and viewing tools and psychological testing tools. Hardware Management Manages and maintains the shared stimulus presentation and subject response monitoring equipment. Evaluates and/or designs new hardware to facilitate implementation of new experiments on the MR scanners. Prepares documentation on usage of the hardware and assists staff, students and post docs in usage of the equipment. Software Development Designs new analysis pipelines for neuroimaging data. Develops and modifies psychological testing tools. Software Maintenance Resolves technical issues with data collection, processing and analysis. MR Data Acquisition Optimizes MR pulse sequence files used for acquiring MR data. Preferred Qualifications Experience managing and training staff. Fluency in standard computer programming languages (MATLAB, Python, C/C++, java, csh, bash), statistical packages (SPSS, SAS, R), psychological testing tools (Eprime, psychtoolbox) and neuroimaging software packages (FSL, SPM, FreeSurfer, AFNI and 3D Slicer). Demonstrated ability to create complex analysis routines within reasonable timeframes. Willingness and ability to make programs useful for researchers with varying levels of computer skills. 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 the presentation of auditory and visual stimuli and the recording of vocal and motor responses. Required Qualifications
Bachelor’s degree in relevant discipline. Minimum of five years of experience in a similar research lab or comparable environment. Grade
G13 Salary Range
$65,900.00 - $112,700.00 / Annually Accommodation
If you are unable to use our online application system and would like an accommodation, please email CandidateQuestions@wustl.edu or call the dedicated accommodation inquiry number at 314-935-1149 and leave a voicemail with the nature of your request. Pre-Employment Screening
All external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. EEO/AA Statement
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. Diversity Statement
Washington University is dedicated to building a diverse community of individuals who are committed to contributing to an inclusive environment.
#J-18808-Ljbffr