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Research Assistant - Semel Institute

University of California - Los Angeles Health
United States, California, Los Angeles
Nov 18, 2024
Description

The Semel Institute is seeking to hire a Limited full time Staff Research Associate I will work under the direct supervision of the PI and perform the following task and duties:


  • Perform oviposition and oviduct contraction assays in flies.
  • Maintain accurate records of procedures used to conduct experiments and collect and record lab measurements and data.
  • Assist other members of the lab to perform behavioral, immunohistochemistry and molecular biology experiments.
  • Work with Fluorescent and Confocal Microscopes to determine expression patter of transgenes used for oviduct contraction assays.
  • Assist PI in preparation of reports for manuscripts and grant applications.
  • Assist in compliance of the laboratory environment with UCLA mandates and follow applicable safety policies/procedures.
  • Other duties as assigned.
Pay Range: $ 26.52 - $31.63 hourly.
This limited position and may convert to career.
Qualifications
  • Undergraduate degree in Neuroscience, Biology or related field is highly desirable.
  • Experience working with Drosophila is highly desirable.
  • Knowledge of standard laboratory equipment and supplies.
  • Knowledge of UCLA Environmental Health & Safety guidelines.
  • Excellent attention to detail, for accurate data collection, entry and analysis.
  • Knowledge of standard laboratory equipment and supplies.
  • Knowledge of UCLA Environmental Health & Safety guidelines
  • Good communication skills and ability to work well with multiple individuals at different skill levels.
  • Ability to maintain an organized working area.
  • Ability to keep accurate and organized records.
  • Knowledge of laboratory safety procedures for handling biohazard and chemical waste.
  • Excellent attention to detail, for accurate data collection, entry and analysis.
  • Ability to work independently or as a team member.
  • Experience with Word, Excel, Powerpoint, Prism and statistical software is preferred
  • Demonstrate an interest in learning new techniques and concepts
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