Fellow in Human-Machine Interface Clinical Research - Bionics Lab

Position Description

The Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) Bionics Lab is seeking a highly motivated Fellow with a background in Biomedical Engineering, Mechanical Engineering, or Neural Engineering to join our interdisciplinary research team. This position supports an exciting clinical trial exploring muscle-controlled robotic systems, pushing the boundaries of human-machine interfacing and neuroprosthetics.

You will work at the intersection of neuroscience, engineering, and clinical science, gaining hands-on experience with human subject research, robotics, and electrophysiological data analysis, while contributing to impactful translational research.

Key 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.

Basic Qualifications

• Bachelor's degree (BS) in Biomedical Engineering, Mechanical Engineering, Neural Engineering, or a closely related field.

Additional Qualifications

• Prior experience in clinical trial operations or assisting in clinical studies.
• Familiarity with prosthetics, robotic systems, or neuromodulation technologies.
• Exposure to interdisciplinary collaboration in research settings.
• 2+ years of research experience, ideally involving human subjects or clinical research.
• Proficiency in electromyography (EMG) analysis and basic signal processing techniques.
• Strong programming skills in MATLAB or Python.
• Familiarity with IRB protocols, informed consent procedures, and human subject protections.
• Excellent organizational skills and the ability to work independently in a fast-paced research environment.
• Strong interpersonal and written communication skills.