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Human Machine Interface Researcher Jobs (NOW HIRING)

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How much do human machine interface researcher jobs pay per year?

As of Sep 14, 2026, the average yearly pay for human machine interface researcher in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

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Infographic showing various Human Machine Interface Researcher job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $113,102 per year, or $54.4 per hour.

Fellow in Human-Machine Interface Clinical Research - Bionics Lab

Cambridge, MA • On-site

Harvard University
Colleges, Universities, and Professional Schools • 51 - 200 employees

$50K - $70K/yr

Full-time

Re-posted 25 days ago


Harvard University rating

8.5

Company rating: 8.5 out of 10

Based on 12 frontline employees who took The Breakroom Quiz


Job description

Position
Details
Title
Fellow in Human-Machine Interface Clinical Research - Bionics Lab
School
Harvard John A. Paulson School of Engineering and Applied Sciences
Department/Area
Bioengineering
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.

Why Join Us?
This position offers a unique opportunity to contribute to cutting-edge research in neuroengineering, while working alongside roboticists, neuroscientists, and clinicians. You'll gain valuable experience in clinical trial execution, device testing, and data science-skills that are highly relevant for future careers in graduate school, medical school, or industry R&D.
The project is fast-paced and impact-driven, providing significant room for growth, learning, and publication.
Basic Qualifications
  • Bachelor's degree (BS) in Biomedical Engineering, Mechanical Engineering, Neural Engineering, or a closely related field.
  • 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.

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.

Special Instructions
Please include aslide deck that captures your most salient research experience as part of your application.
Contact Information
Rebekah Keely, Lab Admin
Contact Email
bionicslab@seas.harvard.edu
Salary Range
$50,000 - $70,000
Pay offered to the selected candidate is dependent on factors such as rank, years of experience, training or qualification, field of scholarship, and accomplishments in the field.
Minimum Number of References Required
2
Maximum Number of References Allowed
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