Research Assistant - Neurology

The Research Assistant will work as part of research
team that investigates neural mechanisms of movement and gait disorders in
patients with Parkinson disease and healthy adults. We use various brain
mapping techniques (EEG, MRI, intraoperative electrophysiology) and sensors to
record simultaneous brain activity and movement during simple computer and
walking tasks or in immersive virtual reality environments. Duties include
equipment inventory and ordering, coordinating laboratory personnel
(post-doctoral fellows, technicians, undergraduate volunteers) for performance
of research studies, recruitment of study participants, data management and
entry, assist in data collection and analysis, assist with regulatory approval.
The Research Assistant will be directly supervised by the Principal Investigator
and will work with other lab members including post-doctoral scholars,
undergraduate students and volunteers. Candidates should have excellent
organizational and communication skills, the ability to work collaboratively
and cooperatively, and have a passion for neuroscience research. Prior research
experience in a psychology or human neuroscience laboratory using one of the
above techniques are preferred, but not required.

Hourly Salary Range: $28.69- $34.21. Please note that the department's target
hourly range is $28.69- $32.68.

Required:

* Interpersonal and communication skills to effectively interact,
communicate, and work as a team member with the academic, research and
administrative staff, students, and database and information systems personnel

* Skills in working independently, ability to establish priorities
to meet deadlines and accomplish established goals

* Knowledge and experience using standard software programs
including Microsoft Office (Word, Excel, PowerPoint)

* Knowledge of computer programming/scripting (e.g., Matlab,
Bash/Unix)

* Knowledge and experience using image/EEG analysis software
programs such as EEGlab, and/or other experience in quality control of EEG
and/or MRI images of the human brain

* Demonstrated experience with data management and recording

* Knowledge of neuroanatomy, neuroscience, biomedical and electrical
engineering, and/or related fields