Job Listings

Research Associate

Virginia Tech
Job Location:
Blacksburg, 24061

Job Description

Applications are invited for a full-time research associate position in the lab of Dr.
Jamie Edgin (Professor and Chair) in the Department of Psychology at Virginia Tech.
The lab studies the memory development and sleep, with a particular emphasis on
individuals with developmental and intellectual disabilities. We combine methods of
neurophysiology (i.e., sleep assessment), neuroimaging, and neuropsychological
assessment, including eyetracking protocols, to better understand how individuals can learn and remember across contexts, including situations of trauma, risk, or sleep deprivation.

The individual who fills this position will be involved in all aspects of the research
process and duties related to launching a new research lab, including (but not limited

  • Assisting with grant applications, IRBs, and manuscript preparation
  • Coordination of day to day lab operations
  • Collecting, entering, managing, and ensuring quality of data
  • Recruiting, screening, scheduling, consenting, and running participants through study protocols.
  • Supervising research assistants
  • Community outreach for recruitment
  • Assisting with data processing and analysis across local and multi-site projects
Flexible scheduling is required (e.g., evenings, weekends, and some holidays will be
required). Preference will be given to candidates who are willing to make a four-year
Required application materials: Cover letter describing interest in and fit with the
position, CV/Resume, and contact information for two references. Consideration of
applications will begin immediately and on a rolling basis and will end when the position is filled. Salary will be commensurate with experience.
Pre-submission inquiries with CV may be emailed to: Jamie Edgin

Required Qualifications

1) MA or PhD in psychology or a related field.
2) Demonstrated skills in managing and conceiving research, including grant writing or
research dissemination
3) Demonstrated ability and desire to conduct research with special populations or
4) Data processing skills and training in advanced statistical approaches

Preferred Qualifications

1) Experience conducting or assisting with MRI scans or EEG
3) Demonstrated ability to work with data programs (e.g., REDCap; SPSS; R;

Pay Band


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Additional Information

The successful candidate will be required to have a criminal conviction check.

About Virginia Tech

Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including the Innovation Campus in Northern Virginia; the Health Sciences and Technology Campus in Roanoke; sites in Newport News and Richmond; and numerous Extension offices and research centers. A leading global research institution, Virginia Tech conducts more than $500 million in research annually.

Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law.

If you are an individual with a disability and desire an accommodation, please contact Michelle Wooddell at during regular business hours at least 10 business days prior to the event.

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