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Fellow in Biohybrid Systems & Neural Interfaces – Harvard Bionics Lab

Job in Cambridge, Middlesex County, Massachusetts, 02140, USA
Listing for: Harvard University
Full Time position
Listed on 2026-10-17
Job specializations:
  • Research/Development
    Research Scientist, Biomedical Science
Salary/Wage Range or Industry Benchmark: 50000 - 70000 USD Yearly USD 50000.00 70000.00 YEAR
Job Description & How to Apply Below
Fellow in Biohybrid Systems & Neural Interfaces – Harvard Bionics Lab

Title Fellow in Biohybrid Systems & Neural Interfaces – Harvard Bionics Lab

School

School Harvard John

A. Paulson School of Engineering and Applied Sciences

Department/Area

Position Description

The Harvard Bionics Lab is seeking a Fellow to support experimental and translational research at the interface of neural engineering, bioelectronics, and physiology. The role focuses on developing and evaluating sensing technologies for peripheral nerve and organ interfacing, with an emphasis on in vivo rodent (rat/mouse) models.

The Fellow will work closely with a multidisciplinary team to design, build, and test sensor systems for recording neural and physiological signals. Responsibilities include conducting survival surgeries in rodents, performing electrophysiological recordings, developing and prototyping sensing hardware, and executing structured data collection protocols.

The candidate will contribute to experiments involving nerve interfacing, signal acquisition, and biomarker-driven systems. This includes working with peripheral nerves, muscles, and/or organ systems to quantify physiological responses and neural activity. The role will also involve analyzing datasets, maintaining rigorous experimental documentation, and supporting iterative device development.

A significant portion of the work will require hands-on experimentation, including rodent handling, surgical procedures, and electrophysiology. The candidate is expected to operate independently within defined protocols and contribute to troubleshooting and optimization of experimental systems.

Basic Qualifications

  • Bachelor's or Master's degree in Bioengineering, Biomedical Engineering, Neuroscience, Physiology, or Electrical Engineering
  • Prior hands-on experience with rat or mouse models (required)

Additional Qualifications

  • At least 1–2 years of research experience in an academic or industry lab setting
  • Experience with electrophysiology (neural recording, EMG , or related techniques)
  • Exposure to sensor design, bioinstrumentation, or embedded systems
  • Programming experience (e.g., MATLAB , Python, or similar for data acquisition/analysis)
  • Familiarity with surgical techniques or willingness to be trained in rodent survival surgeries
  • Strong organizational skills and attention to experimental rigor and reproducibility

Contact Information

Contact Email

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

Minimum Number of References Required 2

Maximum Number of References Allowed

Maximum Number of References Allowed 3

EEO/Non-Discrimination Commitment Statement

Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes.
Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university's non-discrimination policy . Harvard's equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.

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