Neuroimaging Research Engineer - RADC - Full-time-30110

Rush University Medical Center; Chicago (IL); On-site; USD 63,000 - 91,000; Full time

Job summary

Rush University Medical Center in Chicago seeks a Neuroimaging Engineer to oversee neuroimaging operations, including data acquisition, QC, processing, and pipeline development. The role involves automation, documentation, and analysis, with opportunities to contribute to manuscripts and grant proposals.

The ideal candidate has a Ph.D., 5+ years in neuroimaging with MRI, strong Python/Matlab skills, and excellent communication.

Qualifications

• Ph.D. degree in Biomedical Engineering, Medical Physics, or related discipline.
• 5 years of experience in neuroimaging with MRI and modalities such as functional MRI, diffusion imaging, MR brain morphometry, quantitative susceptibility mapping, susceptibility-weighted imaging, MR perfusion, or MR relaxometry.
• Strong programming skills and good knowledge of Python or Matlab.
• Excellent communication and analytical skills.
• Ability to prioritize and manage own work.
• A clear interest in collaborative, multidisciplinary teamwork.
• Highly-motivated, enthusiastic and detail-oriented.
• Ability to work independently.

Responsibilities

• Oversee a section of neuroimaging operations including neuroimaging data acquisition, quality control, data transfer, processing, pipeline development, automation, documentation, and statistical analysis.
• Design, implement, evaluate automated systems for state-of-the-art medical imaging data processing and quality control.
• Responsible for hiring, onboarding, training, feedback, mentoring, and management of a team of engineers in the research imaging engineering group.
• Develop and implement novel image analysis techniques for in-vivo and ex-vivo multimodal brain MRI data (including, but not limited to, longitudinal analysis of brain MRI data, integration of functional and structural information, analysis of functional and structural brain networks, development of MR-based biomarkers).
• Apply advanced image analysis techniques on brain MRI data from a large aging cohort, and combine MRI data with a plethora of available risk factor, clinical, and post-mortem data.
• Apply advanced imaging, statistics, and informatics methodology in all aspects of work.
• Oversee, develop and maintain quality control procedures and documentation.
• Work closely with physicists, engineers, neurologists, neuropsychologists, neuropathologists, biostatisticians, computational neuroscientists on imaging projects on aging.
• Collaborate with principal investigators on study design.
• Plan meetings (such as investigator meetings and other scientific/operational meetings).
• Participate in meetings with principal investigators and research staff and evaluate/interpret data, methodologies, and procedures.
• Prepare abstracts, manuscripts, presentations based on experimental results.
• Support manuscript and grant-writing efforts.
• Communicate with other RADC teams on related projects.
• Facilitate sharing of data and expertise with scientists within and outside of the RADC.Assist in the training and supervision of other staff in appropriate use of new techniques.
• Other duties as assigned.

Skills

Python

Matlab

Leadership

Communication

Education

PhD in Biomedical Engineering, Medical Physics, or related

Job description

Location: Chicago, Illinois

Business Unit: Rush Medical Center

Hospital: Rush University Medical Center

Department: Rush Alzheimers Dis Ctr-ResFac

Work Type: Full Time (Total FTE between 0.9 and 1.0)

Shift: Shift 1

Work Schedule: 8 Hr (8:00:00 AM - 4:30:00 PM)

Rush offers exceptional rewards and benefits learn more at our Rush benefits page

Pay Range: $45.59 - $66.16 per hour

Rush salaries are determined by many factors including, but not limited to, education, job-related experience and skills, as well as internal equity and industry specific market data. The pay range for each role reflects Rush's anticipated wage or salary reasonably expected to be offered for the position. Offers may vary depending on the circumstances of each case.

Summary

The Neuroimaging Engineer will oversee a section of neuroimaging operations including neuroimaging data acquisition, quality control, processing, pipeline development, automation, documentation, and analysis. The successful candidate will also participate in the preparation of manuscripts and grant proposals. The successful candidate will exemplify the Rush mission, vision and values, and act in accordance with Rush policies and procedures.

Other Information

• Ph.D. degree in Biomedical Engineering, Medical Physics, or related discipline.
• 5 years of experience in neuroimaging with MRI and modalities such as functional MRI, diffusion imaging, MR brain morphometry, quantitative susceptibility mapping, susceptibility-weighted imaging, MR perfusion, or MR relaxometry.
• Strong programming skills and good knowledge of Python or Matlab.
• Excellent communication and analytical skills.
• Ability to prioritize and manage own work.
• A clear interest in collaborative, multidisciplinary teamwork.
• Highly-motivated, enthusiastic and detail-oriented.
• Ability to work independently.

Physical Demands

• The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
• Ability to lift phantoms or containers weighing up to 50 pounds.
• Ability to work on a computer for extended periods of time.
• Ability to frequently communicate verbally and in written form.

Disclaimer

The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of duties, responsibilities or requirements.

Responsibilities

• Oversee a section of neuroimaging operations including neuroimaging data acquisition, quality control, data transfer, processing, pipeline development, automation, documentation, and statistical analysis.
• Design, implement, evaluate automated systems for state-of-the-art medical imaging data processing and quality control.
• Responsible for hiring, onboarding, training, feedback, mentoring, and management of a team of engineers in the research imaging engineering group.
• Develop and implement novel image analysis techniques for in-vivo and ex-vivo multimodal brain MRI data (including, but not limited to, longitudinal analysis of brain MRI data, integration of functional and structural information, analysis of functional and structural brain networks, development of MR-based biomarkers).
• Apply advanced image analysis techniques on brain MRI data from a large aging cohort, and combine MRI data with a plethora of available risk factor, clinical, and post-mortem data.
• Apply advanced imaging, statistics, and informatics methodology in all aspects of work.
• Oversee, develop and maintain quality control procedures and documentation.
• Work closely with physicists, engineers, neurologists, neuropsychologists, neuropathologists, biostatisticians, computational neuroscientists on imaging projects on aging.
• Collaborate with principal investigators on study design.
• Plan meetings (such as investigator meetings and other scientific/operational meetings).
• Participate in meetings with principal investigators and research staff and evaluate/interpret data, methodologies, and procedures.
• Prepare abstracts, manuscripts, presentations based on experimental results.
• Support manuscript and grant-writing efforts.
• Communicate with other RADC teams on related projects.
• Facilitate sharing of data and expertise with scientists within and outside of the RADC.Assist in the training and supervision of other staff in appropriate use of new techniques.
• Other duties as assigned.

Rush is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.