Clinical HMI Research Fellow: Muscle-Driven Robotics

Harvard University; Cambridge (MA); Hybrid; USD 50,000 - 70,000; Full time

Job summary

Harvard University’s Bionics Lab at SEAS seeks a Fellow with a background in Biomedical Engineering, Mechanical Engineering, or Neural Engineering to advance a clinical trial on muscle-driven robotic systems. The role spans neuroscience, engineering, and clinical science, offering hands-on experience with human subjects and electrophysiological data.

The Fellow will work with clinicians, engineers, and neuroscientists to design experiments, perform EMG recordings, analyze data in Python or

Qualifications

• Bachelor's degree in Biomedical Engineering, Mechanical Engineering, or Neural Engineering.
• Experience with human subject research or clinical studies is preferred.
• Familiarity with prosthetics, robotic systems, or neuromodulation technologies.

Responsibilities

• Support the design and execution of a clinical trial focused on muscle-driven robotic technologies.
• Assist in IRB protocol development and ongoing human subject documentation.
• Conduct electromyographic (EMG) recordings and signal processing to analyze motor control and performance.
• Interface with patients, clinicians, engineers, and neuroscientists as part of a collaborative team.
• Perform data collection, processing, and statistical analysis in Python or MATLAB.
• Document findings, prepare reports, and contribute to manuscript preparation.
• Ensure research activities comply with regulatory standards and ethical guidelines.

Skills

Clinical trial operations

Neuroscience

Robotics

Python

Education

Bachelor's degree in Biomedical Engineering, Mechanical Engineering, Neural Engineering

Tools

MATLAB

Python

EMG analysis

Job description

Harvard University’s Bionics Lab at SEAS seeks a Fellow with a background in Biomedical Engineering, Mechanical Engineering, or Neural Engineering to advance a clinical trial on muscle-driven robotic systems. The role spans neuroscience, engineering, and clinical science, offering hands-on experience with human subjects and electrophysiological data.

The Fellow will work with clinicians, engineers, and neuroscientists to design experiments, perform EMG recordings, analyze data in Python or