About The Position

The Technical Associate I in the Chung Lab at the Picower Institute for Learning and Memory is an early-career scientist or engineer with a multidisciplinary background in areas such as chemical engineering, materials engineering, neuroscience, or optics. The role supports protocol development and optimization, as well as data generation for a large NIH UM1 center working to map human and non-human primate brain atlases. The center’s technology pipeline includes novel tissue-processing methods, molecular-probe labeling, and volumetric optical imaging techniques. The technician works closely with senior lab members and the Principal Investigator to support the research project’s operations. Work includes molecular-probe validation and the generation of quantitative proteomic and transcriptomic data from brain tissue. The position may suit individuals planning to pursue medical school or graduate study in a scientific discipline.

Requirements

  • Bachelor’s degree in a relevant scientific field, such as chemical engineering, materials sciences, biology, chemistry, or neuroscience.
  • At least two years of previous laboratory experience.
  • Proficiency in laboratory techniques and equipment operation.
  • Strong attention to detail and organizational skills.
  • Ability to work independently.
  • Effective communication skills and ability to collaborate in a team-oriented environment.
  • Knowledge of laboratory safety protocols and practices.

Nice To Haves

  • Hands-on research experience.
  • Familiarity with data analysis software and tools.

Responsibilities

  • Support experiments and research activities.
  • Maintain the laboratory and manage equipment.
  • Collect data and handle samples.
  • Collaborate with researchers, colleagues, and external partners.
  • Prepare documentation and reports.
  • Perform quality control on data and experiments.
  • Troubleshoot technical issues.
  • Contribute to protocol development and optimization, molecular-probe validation, and quantitative proteomic and transcriptomic data generation from brain tissue.
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