Master's or Doctorate in biomedical engineering, electrical engineering, neuroscience, computer science, or related field, or equivalent hands-on experience.
Hands-on experience with biosignal recording systems, particularly neural signals with human participants.
Proficiency in Python for time series data analysis, especially with multi-channel neural signals.
Strong communication skills to bridge technical and clinical teams effectively.
Demonstrated professionalism and calmness in high-pressure environments.
High ownership and accountability in decision-making.
Responsibilities
Facilitate new studies and applications in the field, planning and executing neural data collection.
Compile and summarize clinical observations and system limitations for cross-functional teams.
Document edge cases in neural decoding to inform system improvements.
Assist with Connexus hardware and software setup and testing in the field.
Act as the frontline diagnostic expert for technical issues in the field.
Contribute to streamlining session setup and data collection processes.
Develop SOPs and training materials for technical and clinical staff.
Benefits
Opportunity to work at the forefront of brain-computer interface technology.
Significant travel opportunities to clinical sites.
Engagement in high-stakes, impactful work with real-world applications.
Collaboration with cross-functional teams in a dynamic environment.
Full Job Description
Field Application Engineer
The Role
The Field Application Engineer serves as Paradromics's technical lead for bringing scientific innovations and new BCI applications into the field. A core focus of this role is reducing R&D to practice, and ensuring that real-world clinical learnings are documented, clearly communicated, and translated into system, process, and risk-management improvements. Reporting to the Principal Applied Scientist, this field-based role acts as a critical bridge between the field and engineering teams. The position requires significant travel to clinical sites and the ability to operate independently in high-stakes, participant-facing environments.
Responsibilities
Science / engineering feedback loop
Facilitate the initiation of new studies and new applications into the field, planning and executing the needed neural data collection and BCI sessions
Compile and summarize clinical observations, system limitations, and session data analyses for presentation to cross-functional "session triage" teams, contributing new data analyses as needed, to enable iterative system improvements
Document "edge cases" in neural decoding or hardware performance to harden the system against real-world variability, translating usability challenges into action items for the Science & Engineering teams
Technical execution & optimization
Assist with Connexus hardware and software setup, updates, and testing both locally and in the field
Act as the frontline diagnostic expert: triage, escalate, and resolve technical issues, including software bugs, hardware failures, and signal artifacts (noise/impedance issues) in the field
Scaling & operational excellence
Contribute to the streamlining and automation of session setup, data collection, data analysis, and session triage processes
Develop SOPs, field guides, training decks, and onboarding materials for technical and clinical staff, and for participants and caregivers
Collaborate cross-functionally with Clinical Affairs, Electrical Engineering, and Quality teams to evolve R&D tools into a reliable, medical-grade BCI platform
Required Education
Master's or Doctorate in biomedical engineering, electrical engineering, neuroscience, computer science, computer engineering, or a related technical field (or equivalent hands-on experience in neurotechnology)
Required Qualifications
Hands-on experience conducting data collection with biosignal recording systems, ideally neural signals with human participants
Comfort with R&D hardware/software and experience contributing to iterative system improvements
Proficiency in Python for time series data analysis (ideally, experience analyzing multi-channel neural signals from BCIs or EEG/ECoG/MEA systems, and experience with basic ML)
Clear communication across disciplines; e.g., ability to explain technical concepts to clinicians and clinical realities to engineers, and to distill information relevant to participants and caregivers
Demonstrated calm, judgment, and professionalism in high-pressure environments; high EQ
High ownership and accountability
Trusted to represent the company in the field and to make appropriate decisions within defined guardrails
Preferred Qualifications
Hands-on technical experience supporting neurotechnology development with human participants
Experience working with individuals with motor disabilities
Early feasibility or first-in-human clinical study experience
Familiarity with small-N studies, and heightened safety and regulatory awareness
Working knowledge of GCP, protocol adherence, and the role of field staff within regulated clinical studies
Early feasibility or first-in-human clinical study experience
