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Vivo electrophysiologist

Job in St. Louis, Saint Louis, St. Louis city, Missouri, 63105, USA
Listing for: Washington University in St. Louis
Full Time position
Listed on 2026-01-23
Job specializations:
  • Research/Development
    Research Scientist, Biomedical Science, Clinical Research
Job Description & How to Apply Below
Position: In vivo electrophysiologist
Location: St. Louis

The Creed lab in the Department of Anesthesiology seeks a research scientist to join our team ((Use the "Apply for this Job" box below).). We are interested in fundamental questions of how coordinated basal ganglia activity influences reward-guided decision making, and how these processes go awry in disease models. We combine patch clamp and in vivo electrophysiology, RNA-sequencing, biophysical modeling of neurons and computational models of behavior to understand how chronic pain and opioid analgesics alter plasticity in neural circuits, and how changes in these neural circuits drive negative affect and changes in cognition.

Our ultimate goal is to use these insights to develop novel neuromodulation therapies to treat affective and cognitive symptoms of chronic pain disorders.

The successful candidate will lead an independent project applying high density neural recordings to understand how reward information is encoded within basal ganglia circuits, while also collaborating with scientist team members. Salary range depending on qualifications and experience. Please reach out for more information.

Role Description

This is a full-time on-site Research Scientist role located in St. Louis, MO. The Research Scientist will be responsible for conducting research, analyzing data, and writing scientific reports. They will collaborate with other researchers and faculty members to contribute to ongoing research projects and developing their own scientific ideas.

Qualifications
  • Prior experience with in vivo electrophysiology or calcium imaging
  • Analytical, reasoning, and problem-solving skills.
  • Ability to analyze and interpret statistical data and to communicate data in a clear, concise manner.
  • Computer literacy, particularly experience with neural recording software (optional) and basic fluency in python, R or Matlab.
  • Ability to work independently and as part of a team.
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