Jobs · Research · Texas

Research Technician III - Neurology

Baylor College of Medicine · Houston, TX · 2 wk ago
ResearchFull-time

About the role

The Department of Neurology- Neuroscience is seeking a full‑time Research Technician III with experience in multidisciplinary neuroscience/genetics to support research in an active NIH‑funded laboratory program investigating mouse models of epilepsy. Projects involve in vivo/in vitro electrophysiological microelectrode and EEG analysis, small animal surgery, immunohistochemistry, and related RNA techniques.

Responsibilities

  • 80% Laboratory Research Operations
    • Genotyping – sending mouse DNA samples for analysis
    • Immunohistochemistry – cutting brain sections and staining them with specific antibodies
    • Analyzing results of all collected and compiled data and reporting them to the PI
    • Supporting maintenance of the mouse colony
    • Conducting literature searches and summarizing information in an appropriate format for a particular study
  • 15% Laboratory Research Administration and Support
    • May develop and modify computer programs
    • Record keeping
    • Image analysis – using computerized software to quantify stained brain sections
    • Working with faculty researcher and other technicians who will train in specialized techniques
  • 5% Other responsibilities
    • Overseeing maintenance of lab equipment and environment
    • Performing other job‑related duties as assigned

Requirements

  • Bachelor’s degree in a Basic Science or related field (four years of related experience may substitute for the degree requirement)
  • One year of relevant experience
  • Work authorization: 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 employment

Qualifications

  • Master’s degree in a related field (preferred)
  • General laboratory and mouse colony experience (preferred)
  • Prior experience in neuroscience and interest in disease models (preferred)

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