Senior Engineer

Kessler Foundation; West Orange (NJ); On-site; USD 120,000 - 160,000; Full time

Job summary

Kessler Foundation seeks a Senior Engineer to own measurement systems and data analysis software for human experiments. The role includes hardware design, integration, and documentation to ensure reproducibility across studies.

The engineer will develop and validate signal processing pipelines, build real-time GUI interfaces, and maintain data storage conventions while supporting IRB-approved studies. Mentorship and publications are expected.

Qualifications

• Master's degree in Biomedical Engineering or Electrical Engineering.
• At least three years of engineering experience in a research, clinical, or medical-device setting.
• Biosignal processing experience: filtering, artifact rejection, spectral analysis, feature extraction, and event detection.
• Knowledge of electrophysiology and recording from humans including electrode selection and grounding.
• Proficiency in MATLAB and Python for scientific computing.
• Hands-on experience building/debugging electronic hardware: benchtop instrumentation, circuit prototyping, schematics.

Responsibilities

• Design, prototype, and build custom instrumentation for human experiments.
• Integrate hardware into setups: biopotential amplifiers, DAQ systems, stimulators, transducers, and sensors.
• Maintain, troubleshoot, and document lab hardware for reproducibility.
• Develop signal processing pipelines in MATLAB and Python for biosignals and electrophysiological data.
• Process motion-capture data: calibration, marker reconstruction, and kinematic modeling.
• Build reproducible, version-controlled analysis workflows.
• Create graphical interfaces for real-time acquisition and offline processing.
• Establish data storage conventions and databases for tracking variables.
• Participate in data collection for IRB-approved studies and oversee processing and QC.
• Provide occasional technical support for implant-related procedures.
• Author and co-author publications; contribute to grant applications.
• Mentor junior engineers and researchers on code, hardware, and practice.

Skills

Biosignal processing

MATLAB

Python

Electrophysiology

Circuit prototyping

Instrument control

Data analysis

Electrode placement

IRB compliance

Education

Master's degree in Biomedical Engineering or Electrical Engineering

Tools

DAQ systems

Biopotential amplifiers

Schematic reading

PCB design tools

Job description

The Senior Engineer will be responsible for the measurement systems used in these human experiments, the software that collects and analyzes the resulting data, and contributions to the scientific output of the lab.

Responsibilities include

• Design, prototype, and build custom instrumentation for human experiments, including sensor interfaces, signal conditioning, isolation, and synchronization hardware.
• Integrate commercial and custom hardware into working experimental setups: biopotential amplifiers, DAQ systems, stimulators, transducers, and wearable sensors.
• Maintain, troubleshoot, and document lab hardware so builds can be reproduced and repaired by others.
• Develop and validate signal processing pipelines in MATLAB and Python for EMG, ECG, blood pressure, PPG, and IMU data, along with electrophysiological responses to stimulation.
• Process and analyze motion-capture data, including calibration, marker reconstruction, and kinematic modeling.
• Build reproducible, version-controlled analysis workflows that non-engineering staff can run.
• Build graphical interfaces for real-time acquisition, monitoring, and offline processing that staff can operate independently.
• Establish and maintain data storage conventions and databases for tracking experimental variables across studies.
• Participate in data collection for IRB-approved studies and oversee downstream processing and quality control.
• Provide occasional technical support for implant-related procedures, including intraoperative recording and device setup.
• Author and co-author publications, present at scientific meetings, and contribute technical sections and preliminary data to grant applications.
• Mentor junior engineers, research assistants, and students on code, hardware, and engineering practice.

Qualifications

• Master's degree in Biomedical Engineering, Electrical Engineering, or a closely related field.
• At least three years of relevant engineering experience in a research, clinical, or medical-device setting.
• Demonstrated experience with biosignal processing: filtering, artifact rejection, spectral analysis, feature extraction, and event detection applied to physiological data.
• Working knowledge of electrophysiology and the practical issues that come with recording from humans, including electrode selection and placement, grounding and isolation, stimulation artifact, and noise.
• Proficiency in MATLAB and Python for scientific computing and instrument control.
• Hands-on experience building and debugging electronic hardware: benchtop instrumentation, circuit prototyping, and reading and producing schematics.
• Ability to work directly with research participants, including individuals with spinal cord injury, in a respectful and safety-conscious manner.

Preferred qualifications

• Experience with neuromodulation or neural interfaces, including epidural, transcutaneous, and/or peripheral nerve stimulation.
• Experience with electric field modeling and simulation (for example COMSOL, SimNIBS, and/or comparable tools) for stimulation analysis.
• GUI development experience, such as PyQt, MATLAB App Designer, and/or similar frameworks.
• Familiarity with motion capture systems (OptiTrak, Vicon, or similar) and biomechanical modeling tools.
• Real-time and embedded development experience, including microcontroller programming in C or C++.
• PCB schematic capture and layout experience (KiCad, Altium, or similar).
• Record of peer-reviewed publications and contributions to funded grant applications.
• Familiarity with human subjects research requirements, including IRB protocols, Good Clinical Practice, and data privacy standards.