Senior Field Clinical Engineer - Clinical Neurotechnology Research Assistant

Field Clinical Engineer (Clinical Neurotechnology Research Assistant) About Paradromics

Brain-related illness is one of the last great frontiers in medicine, not because the brain is unknowable, but because it has been inaccessible. Paradromics is building a brain‑computer interface (BCI) platform that records brain activity at the highest possible resolution: the individual neuron. AI algorithms then decode this massive amount of brain-data, enabling the seamless translation of thought into treatments.

Our first clinical application, the Connexus® BCI, will help people who are unable to speak, due to progressive neuromuscular disease and neural injuries such as ALS, spinal cord injuries and stroke, to communicate independently through digital devices. However, the capabilities of our BCI platform go far beyond our first application. With the brain in direct communication with digital devices, we can leverage technology to transform how we treat conditions ranging from sensory and motor deficits to untreatable mental illness.

The Field Clinical Engineer (Clinical Neurotechnology Research Assistant) serves as Paradromics’ trusted technical presence at U.S. clinical sites during early feasibility and first‑in‑human studies. Reporting to the Director of Clinical Affairs, this field‑based role supports safe, reliable use of Paradromics’ implantable BCI system and associated software during surgical procedures, study visits, and neural data collection sessions.

This role acts as a critical bridge between clinicians and engineers—ensuring real‑world clinical learnings are captured, clearly communicated, and translated into system, process, and risk‑management improvements. The position requires significant travel to clinical sites and the ability to operate independently in high‑stakes, patient‑facing environments.

• Serve as the primary in‑field technical representative during early feasibility study (EFS) procedures, study visits, and neural recording sessions
• Perform device setup, verification, calibration, and teardown consistently and correctly, ensuring safe and compliant use at clinical sites
• Support the design, execution, and refinement of neural recording and BCI experimental workflows to generate high‑quality, reproducible, and analyzable neural data
• Evaluate relationships between neural signals, derived features, and participant behavior to inform experimental design, task structure, and decoding strategies
• Monitor data quality in real time during recording sessions, identifying signal loss, artifacts, or configuration issues
• Troubleshoot device, software, hardware, or signal issues in real time within clinical environments, escalating issues appropriately when needed
• Proactively identify deviations, anomalous system behavior, or emerging risks and communicate them clearly before they impact participant safety or study integrity
• Document clinical observations, failure modes, usability issues, and system limitations to inform engineering iteration and risk management activities
• Build trust and credibility with investigators, fellows, and research staff through preparation, sound judgment, and professionalism
• Contribute to development of training materials, field playbooks, SOPs, and workflows to support additional sites, engineers, and future studies
• Collaborate cross‑functionally with Clinical Affairs, Engineering, Quality, and Data Science teams to ensure alignment between field execution and system design

• Bachelor’s degree in biomedical engineering, electrical engineering, neuroscience, computer engineering, or a related technical field (or equivalent hands‑on experience in neurotechnology)

• 4+ years of hands‑on technical experience in clinical or human‑facing environments supporting complex medical or neurotechnology systems
• Experience analyzing time series data in Python
• Prior experience as a Field Clinical Engineer, Research Engineer, Biomedical Engineer, or similar role involving direct interaction with human participants
• Working knowledge of clinical research principles, including GCP, protocol adherence, and the role of field staff in…