Field Clinical Specialist/Engineer

Paradromics, Inc.•Austin, TX

11d•Onsite

About The Position

Paradromics is developing a brain-computer interface (BCI) platform that records brain activity at the individual neuron level. This platform aims to enable people with conditions like ALS, spinal cord injuries, and stroke to communicate independently through digital devices. The BCI platform has broader applications for treating sensory and motor deficits, and even untreatable mental illnesses. The Field Clinical Engineer (Clinical Neurotechnology Research Assistant) is a field-based role that serves as the primary technical point of contact at clinical sites during early feasibility and first-in-human studies. This role supports the safe and reliable use of Paradromics’ implantable BCI system and associated software during surgical procedures, study visits, and data collection. The position bridges the gap between clinicians and engineers, ensuring that real-world clinical feedback is captured and used to improve the system, processes, and risk management. Significant travel to clinical sites is required, along with the ability to work independently in patient-facing, high-stakes environments.

Requirements

Bachelor’s degree in engineering, neuroscience, nursing, biomedical sciences, or another relevant technical or clinical discipline, or equivalent combination of education and hands-on experience.
Hands-on experience working with complex technology in clinical, research, or other human-facing environments, with a demonstrated ability to learn and operate technical systems independently.
Strong technical aptitude and curiosity, including the ability to understand system behavior, investigate problems, and troubleshoot across hardware, software, connectivity, and data.
Experience working directly with patients, research participants, clinicians, or other end users, with the interpersonal judgment and empathy needed to build trust during repeated interactions.
Ability to recognize and assess data or signal-quality issues and work with technical teams to investigate their source.
Demonstrated ability to remain calm, thoughtful, and effective when troubleshooting problems in participant-facing or other high-stakes environments.
Strong communication skills, including the ability to translate technical concepts for clinical audiences and clinical/participant experiences for technical teams.
Strong attention to detail and ability to consistently follow defined procedures, document observations, and escalate issues appropriately.
Willingness and ability to travel extensively to U.S. clinical sites and support study activities that may occur outside standard business hours.

Nice To Haves

Advanced technical, clinical, or scientific training.
Experience with neurotechnology or neuroscience systems, including neural signals, BCIs, EEG, ECoG, MEAs, neuromodulation, electrophysiology, or neural data-acquisition platforms.
Clinical training or experience, such as nursing, clinical research, rehabilitation, neuroscience, or another patient-facing healthcare discipline.
Technical experience with Python, MATLAB, signal processing, time-series data, data visualization, or similar analytical tools.
Experience supporting medical devices, complex research equipment, or other integrated hardware/software systems in clinical or research environments.
Exposure to early feasibility, first-in-human, or small-N clinical studies with heightened safety and regulatory oversight.
Familiarity with GCP, IDE studies, and academic medical center or investigator-led research environments.
Experience contributing to SOPs, field guides, troubleshooting resources, training materials, or onboarding programs.
Demonstrated ability to operate independently in the field while maintaining strong communication and partnership with a broader cross-functional team.

Responsibilities

Serve as the in-field technical representative during early feasibility study (EFS) procedures, study visits, and neural recording sessions, working closely with participants, clinical site teams, and Paradromics colleagues.
Prepare, configure, calibrate, operate, and break down study systems consistently and correctly, completing appropriate system checks and confirming readiness for clinical and recording sessions.
Support the design, execution, and refinement of neural recording and BCI session workflows to generate high-quality, consistent, and analyzable neural data.
Monitor neural signals and system performance in real time, recognizing signal loss, artifacts, unexpected behavior, or configuration issues that could affect session quality.
Troubleshoot hardware, software, device, connectivity, and signal-quality issues in real time within clinical environments, applying sound judgment and escalating appropriately when additional support is needed.
Develop a strong understanding of the relationship between system configuration, neural signals, participant behavior, and task performance, using observations from sessions to help inform experimental workflows and decoding approaches.
Identify unexpected system behavior, workflow challenges, usability issues, and emerging risks early, and communicate them clearly to the appropriate teams before they affect participant experience, safety, or study integrity.
Capture and communicate field observations, technical issues, failure modes, usability feedback, and system limitations in a structured way that supports engineering improvements and risk-management activities.
Build strong relationships with study participants and their support networks, creating a professional, comfortable, and reliable experience during repeated and often lengthy study sessions.
Build trust and credibility with investigators, fellows, coordinators, and research staff through preparation, technical competence, sound judgment, responsiveness, and professionalism.
Act as a critical feedback loop between the field and internal teams, translating real-world clinical and participant experiences into clear, actionable information for Engineering, Clinical Affairs, Data Science, and Quality.
Contribute to the development and continuous improvement of training materials, field playbooks, SOPs, troubleshooting guides, and workflows that enable consistent execution across additional sites, field team members, and future studies.