Postdoctoral Associate


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Title:

Postdoctoral Associate


Division:

Psychiatry and Behavioral Sciences

Schedule:

Monday – Friday, 8 a.m. – 5 p.m.

Work Location:

Houston, TX

Salary Range:

Per NIH Guidelines

FLSA Status:

Exempt

Requisition ID:

18853



Summary

This two-year postdoctoral fellowship is being offered as part of an NIMH R21 award to study the utility of EEG gamma oscillations as a stratification tool for patients seeking ketamine therapy for major depressive disorder. The fellow will work closely with the MPI’s to develop a rigorous analytical framework based on temporal, spectral, and non-linear approaches to interpreting variability in NMDA receptor antagonism as it relates to ketamine treatment outcome. The objective of the fellowship is for the trainee to develop a strong portfolio of scientific work that will support either a future K-award application or a transition to a related industry position. 

Job Duties

  • Works with the research team to manage the recruitment of patients.
  • Collects EEG data from patients at our partner clinic location.
  • Analyzes EEG data and prepare findings for publication, and presentation at national and international conferences.
  • Manages data archiving for NIH reporting.
  • Engages in collaborative research activities with other trainees and faculty within the department of psychiatry
  • Engages in non-didactic teaching activities, including the mentoring of undergraduate research assistants, presentations at journal clubs, and skills demonstrations within the department.

Minimum Qualifications

  • MD or Ph.D. in Basic Science, Health Science, or a related field.
  • No experience required.

Preferred Qualifications

  • PhD in neuroscience, experimental psychology, engineering, computer science, physics, or related field.
  • The candidate should have experience with collecting and processing biological signals (M/EEG [preferred], EMG, EOG, ERG). Human experience is preferred but exceptional animal research skills will be considered.
  • Working knowledge of scientific computing languages, including Matlab (preferred), Python, R.
  • Experience with experiment presentation software (EPrime, Presentation) preferred but not required.
  • Experience with server computing in the Linux environment (preferred but not required).

 

 

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

 

 

 18853



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