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Paradromics

Develops implantable brain-computer interfaces

Field Clinical Specialist/Engineer

Clinical Research OperationsConfirmed live in the last 24 hours
Full-timeAustin, TX, USANo salary listed

About the Job

Requirements

  • A bachelor's degree in engineering, neuroscience, nursing, biomedical sciences, or another relevant technical or clinical discipline, or an equivalent combination of education and hands-on experience.
  • Hands-on experience working with complex technology in clinical, research, or other human-facing environments, with the 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.
  • 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 or 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.

Responsibilities

  • Serve as the in-field technical representative during early feasibility study procedures, study visits, and neural recording sessions, working with participants, clinical site teams, and company colleagues.
  • Prepare, configure, calibrate, operate, and break down study systems, complete system checks, and confirm readiness for clinical and recording sessions.
  • Support the design, execution, and refinement of neural recording and brain-computer interface session workflows to generate high-quality, consistent, and analyzable neural data.
  • Monitor neural signals and system performance in real time and recognize signal loss, artifacts, unexpected behavior, or configuration issues affecting session quality.
  • Troubleshoot hardware, software, device, connectivity, and signal-quality issues in real time within clinical environments, escalating when additional support is needed.
  • Develop an understanding of the relationship between system configuration, neural signals, participant behavior, and task performance to inform experimental workflows and decoding approaches.
  • Identify unexpected system behavior, workflow challenges, usability issues, and emerging risks, and communicate them before they affect participant experience, safety, or study integrity.
  • Capture and communicate field observations, technical issues, failure modes, usability feedback, and system limitations to support engineering improvements and risk-management activities.
  • Build relationships with study participants and their support networks to create a professional, comfortable, and reliable experience during repeated study sessions.
  • Build trust and credibility with investigators, fellows, coordinators, and research staff through preparation, technical competence, sound judgment, responsiveness, and professionalism.
  • Translate real-world clinical and participant experiences into actionable information for Engineering, Clinical Affairs, Data Science, and Quality.
  • Contribute to training materials, field playbooks, standard operating procedures, troubleshooting guides, and workflows for additional sites, field team members, and future studies.

Desired Qualifications

  • Advanced technical, clinical, or scientific training.
  • Experience with neurotechnology or neuroscience systems, including neural signals, brain-computer interfaces, electroencephalography, electrocorticography, microelectrode arrays, neuromodulation, electrophysiology, or neural data-acquisition platforms.
  • Clinical training or experience in 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 integrated hardware and software systems in clinical or research environments.
  • Exposure to early feasibility, first-in-human, or small-participant clinical studies with heightened safety and regulatory oversight.
  • Familiarity with good clinical practice, investigational device exemption studies, and academic medical center or investigator-led research environments.
  • Experience contributing to standard operating procedures, field guides, troubleshooting resources, training materials, or onboarding programs.
  • Ability to operate independently in the field while maintaining strong communication and partnership with a broader cross-functional team.

About the Company

Paradromics

Develops implantable brain-computer interfaces

Paradromics develops implanted brain-computer interfaces to collect and interpret large-scale neural data for neurological disorders. Its Connexus Direct Data Interface (DDI) is a surgically implanted system that records a high volume of individual neural signals and provides data interfaces for therapeutic and diagnostic use. Unlike many BCIs that focus on smaller-scale signals or consumer devices, Paradromics offers an end-to-end medical-grade platform, including installation, maintenance, and data analysis services for medical institutions and researchers. The goal is to broaden treatment options and improve diagnosis by leveraging rich brain data to guide therapies and research.

Company size
51-200
Company stage
Series A
Total funding
$108M
Headquarters
Austin, TX
Founded
2015

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