EEG Research Technician: Neurophysiology Data Specialist

Baylor College of Medicine

Texas

Sur place

USD 57 000 - 75 000

Plein temps

14 jours+

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Résumé du poste

Baylor College of Medicine is seeking an EEG Research Technician to perform EEG assessments and collect neurophysiological data for grant milestones.

Ideal candidates have knowledge of EEG procedures, coordination with study teams, and strong documentation skills. Certification as an EEG technologist or eligibility is preferred. Work involves pediatric considerations and data management in REDCap.

Qualifications

  • Graduate of an Electro neurodiagnostic technology program accredited by the appropriate body.

Responsabilités

  • EEG Data Collection and Monitoring (50%): Performs routine, ambulatory, and research EEG studies according to approved protocols.
  • Monitors EEG recordings for signal quality and troubleshoot technical issues.
  • Documents procedures and observations accurately and completely.
  • Assists investigators with acquisition of neurophysiological biomarkers per study protocols.
  • Research Participant Support (20%): Coordinates EEG appointments and visits; Educates participants and families.
  • Data Management and Quality Assurance (20%): Reviews EEG recordings for completeness and quality; uploads data to approved databases.
  • Ensures adherence to GCP, IRB requirements, and sponsor guidelines.
  • Administrative and Collaborative Activities (10%): Participates in meetings and training; supports grant milestones.

Connaissances

EEG
Data collection
Documentation
HIPAA
Clinical research

Formation

Electro neurodiagnostic technology program
Associate's degree in Neurodiagnostic Technology

Outils

REDCap

Description du poste

Location: Texas Medical Center, Houston, TX

Salary Range: $57,320 $75,000

FLSA Status: Nonexempt

Work Schedule: Monday – Friday, 8 a.m. – 5 p.m.

Summary

The EEG Research Technician supports a research program by performing electroencephalographic (EEG) assessments and related neurophysiological data collection activities required to achieve grant-funded milestones. This position is responsible for acquiring high-quality EEG data, maintaining research documentation, supporting participant visits, and ensuring compliance with study protocols, regulatory requirements, and data quality standards. The role is essential to fulfilling the grant's objectives related to biomarker development, quantitative phenotyping, and clinical trial readiness.


The ideal candidate will have knowledge of EEG acquisition procedures and neurophysiology principles. Experience with high density electrodes/ 128 channel research EEG. The ability to follow detailed research protocols and standard operating procedures. Has strong organizational and documentation skills. Have proficiency with computer systems and electronic data management platforms. Has the ability to work effectively with children, families, clinicians, and research staff. Be a Registered EEG Technologist (R. EEG T.) certification or eligibility. Has experience supporting clinical research studies. Has familiarity with REDCap and electronic research databases and experience in pediatric neurology, epilepsy, autism spectrum disorders, or neurodevelopmental research.

Job Duties

EEG Data Collection and Monitoring (50%)

  • Performs routine, ambulatory, and research EEG studies according to approved protocols.
  • Prepares participants for EEG procedures, including electrode application using standardized methodologies.
  • Monitors EEG recordings to ensure signal quality and troubleshoot technical issues.
  • Documents procedures and observations accurately and completely.
  • Assists investigators with acquisition of neurophysiological biomarkers required by study protocols.

Research Participant Support (20%)

  • Coordinates EEG appointments and study visits with research coordinators and investigators.
  • Educates participants and families regarding testing procedures and study requirements.
  • Assists with participant recruitment, retention, and follow-up activities.
  • Maintains confidentiality and compliance with HIPAA and institutional policies.

Data Management and Quality Assurance (20%)

  • Reviews EEG recordings for completeness and technical quality.
  • Uploads, organizes, and maintains study data in approved databases and electronic systems.
  • Assists with data audits and quality control procedures.
  • Ensures adherence to Good Clinical Practice (GCP), IRB requirements, and sponsor guidelines.
  • Administrative and Collaborative Activities (10%)

Participates in study meetings and training activities.

  • Collaborates with investigators, coordinators, clinicians, and external research partners.
  • Assists with preparation of reports and documentation supporting grant milestones and deliverables.
  • Performs other duties as assigned to support research objectives.
Minimum Qualifications
  • Graduate of an Electro neurodiagnostic technology program accredited by the Committee on Allied Health Education or ABRET recognized END Program.
  • No experience required
Preferred Qualifications
  • Associate's degree in Neurodiagnostic Technology, Neuroscience, Biological Sciences, Psychology, or a related field.
  • One year of EEG experience in a clinical or research setting.
  • Registered by the American Board of Registration of EEG Technicians.

Work Authorization Requirement:

This position is not eligible for visa sponsorship.Candidates must be legally authorized to work in the United States at the time of application and throughout the duration of employment.

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.

Baylor College of Medicine fosters diversity among its students, trainees, faculty, and staff as a prerequisite to accomplishing our institutional mission and setting standards for excellence in training healthcare providers and biomedical scientists, promoting scientific innovation, and providing patient-centered care. Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.

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