Engineer - Biomedical Engineering; term

Working under limited supervision, the Engineer 2 will evaluate, select, and apply techniques, procedures, and criteria using judgment in making adaptations. Work is assigned as an objective to be reached and is reviewed for application of sound professional judgment. The engineer will work on image analysis projects by providing software coding for an enhanced analysis package for SPECT/CT and an analysis package for assessment of the aorta in non-contrast CT images.

The work includes design and coding of an image analysis application for interactive aortic segmentation, design and coding of an image analysis application for accurate aortic measurements, including a results GUI with suggestions by the mentor, design and coding of an image analysis application for interactive overlays of calcifications on cardiac SPECT scans, and creation of a test process for clinical-grade software.

• Design and develop complex systems; coordinate detailed phases of work related to responsibility for part of a major project or for an entire project of moderate scope. Design and code an image analysis application for interactive aortic segmentation, design and code an image analysis application for accurate aortic measurements (e.g., cross-sectional area as a function of length along the aorta), including a results GUI with suggestions by the mentor, and design and code an image analysis application for interactive overlays of calcifications on cardiac SPECT scans.
  
  (50%)
• Contribute technical expertise and perform basic research and development in support of programs/ projects; act as adviser/ consultant in area of specialty. Investigate appropriate image analysis algorithms. (20%)
• Contribute to portions of published articles or presentations; prepare and write reports; draft and prepare scientific papers. Help prepare proposals, publications, and conference presentations. (10%)
• Provide technical direction to other staff, associates, and students, as needed. As a software engineer, advise trainees on proper software design principles and best practices. (10%)

• Communicate updates on research projects and programs to research and development and clinical stakeholders. (5%)
• Perform other duties as assigned. (5%)

Department:
Daily contact with supervisor to discuss research and maintain workflow.

University:
Occasional contact with other departments to share information and coordinate work.

External:
Limited or no contact with vendors to exchange information.

Students:
Contact with student employees to exchange information.

This position has no direct supervision of staff employees.

Experience:

3 to 5 years of professional engineering experience required.

Education:

Bachelor's degree in engineering required.

• Knowledge of commonly used concepts, practices, and procedures within software coding.
• Knowledge and experience writing and maintaining large medical image software packages include file access, GUI design, informative visualizations, and interactive tools.
• Knowledge of software design best practices for medical software including, in compliance with FDA regulations (e.g., ISO 13485).
• Knowledge of image processing including CT reconstruction, filtering, segmentation, and registration.
• Knowledge of machines and deep learning for image processing and computer vision.
• Knowledge of procedures for assessment and management of associated risk of medical software (i.e., false positive results).
• Ability to demonstrate successful support, education, and advocacy for all students, aligned with the values, mission, and messaging of the university, while adhering to the staff policy on conflict of commitment and interest.
• Ability to meet consistent attendance.
• Ability to interact with colleagues, supervisors, and clinicians face-to-face.
• Willingness to learn and work with artificial intelligence (AI) tools and technologies.

The engineer will work in a dry lab with computer equipment. There are no perceived hazards beyond those seen in a normal office environment.

This position is eligible for hybrid work arrangement up to two remote days per week at the discretion of the department. New employees may begin a hybrid schedule upon approval from the supervisor, successful completion of an orientation period and signing the remote work checklist certification form.

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