Technical Staff: Medical Imaging AI
MIT Lincoln LaboratoryAbout the role
The Human Health & Performance Systems Group develops human-centered technologies to overcome operational challenges and to enhance human capability in domains of interest to national security. Our research programs focus on innovative and objective solutions in the areas of integrated wearable systems, human-machine teaming, enhanced communications, neurocognitive analytics, and medical technologies. Our group is highly interdisciplinary and includes scientific experts in physiology, cognitive science, neuroscience, psychology, biomechanics, computer science, engineering, and physics. Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, and human data collection in laboratory and field environments.
Job Description
The Human Health & Performance Systems Group is seeking an expert in medical imaging and AI to join our medical operations team. This team is dedicated to developing advanced medical technologies to address critical defense and civilian medical challenges, with a particular focus on improving austere and battlefield medicine. As part of our mission, we aim to create impactful solutions that enhance medical care in resource-limited and high-stakes environments, ultimately saving lives and improving outcomes. As a member of our team, you will play a key role in advancing this mission by 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. This position offers the opportunity to work on groundbreaking projects that push the boundaries of medical technology, contributing to solutions that address some of the most pressing challenges in defense and civilian healthcare.
Requirements:
- Ph.D. in Biomedical Engineering, Electrical Engineering, Computer Science, or other relevant degree. M.S. or M.Eng. with 5 or more years of relevant experience will also be considered.
- Strong technical expertise in both the theory and practical applications of deep learning model development and deployment on operational systems
- Expertise in biomedical signal and image processing
- Proficiency in algorithm development (Python, MATLAB) for extraction, conditioning, and exploration of biomedical datasets
- Proven experience in leading technical project teams
- Ability to produce clear, concise, and professional project reports, as well as contributions to technical and scientific publications
Preferences:
- Experience in software development and deployment on edge platforms
- Familiarity with medical ultrasound systems
- Experience conducting medical device evaluations in clinical environments
Recent Graduate Hiring Range: $145,200 - $170,000
Experienced Hiring Range: $145,200 - $220,000
Disclaimer: MIT Lincoln Laboratory provides a typical hiring range as a good faith estimate of what we reasonably expect to offer for this position at the time of posting. The final salary offered to a selected candidate will depend on various factors, including—but not limited to—the scope and responsibilities of the role, the candidate’s experience, skills and education/training, internal equity considerations and applicable legal requirements. This range reflects base salary only and does not include additional forms of compensation or benefits.
At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include:
- 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
- A range of work-life balance options
- ... and much more!
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