Technical Staff: Medical Imaging AI
Salary not listed • Lexington, MA, US • Full-time
Posted 1h ago
No salary is listed. Many US states require employers to post a pay range, so ask about pay early.
Remote Work Policy
On-site
Employment Type
Full-time
Categories
Machine Learning Engineer
About the job
The Human Health & Performance Systems Group is seeking an expert in medical imaging and AI to join their medical operations team. This team develops advanced medical technologies to address critical defense and civilian medical challenges, with a focus on improving austere and battlefield medicine. The role involves applying cutting-edge signal/image processing, deep learning, and data analysis techniques to develop AI-enabled system prototypes. You will collaborate with and lead multi-disciplinary teams of engineers, scientists, and clinicians to design and evaluate innovative medical imaging devices and human performance technologies, pushing the boundaries of medical technology.
Responsibilities
- Develop AI-enabled system prototypes using signal/image processing, deep learning, and data analysis techniques.
- Collaborate with and lead multi-disciplinary teams of engineers, scientists, and clinicians.
- Design and evaluate innovative medical imaging devices and human performance technologies.
- Produce clear, concise, and professional project reports.
- Contribute to technical and scientific publications.
Requirements
- Ph.D. in Biomedical Engineering, Electrical Engineering, Computer Science, or a related field (or M.S./M.Eng. with 5+ years of relevant experience).
- Strong technical expertise in deep learning model development and deployment on operational systems.
- Expertise in biomedical signal and image processing.
- Proficiency in algorithm development (Python, MATLAB) for biomedical datasets.
- Proven experience in leading technical project teams.
Benefits
- Comprehensive health, dental, and vision plans
- MIT-funded pension
- Matching 401K
- Paid leave (including vacation, sick, parental, military, etc.)
- Tuition reimbursement and continuing education programs
- Mentorship programs
- Work-life balance options
