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Technical Associate I, DiCarlo Lab
  • Job Number: 25077
  • Functional Area: Research - Scientific
  • Department: McGovern Institute for Brain Research
  • School Area: Office of Provost
  • Pay Range Minimum: Not Available
  • Pay Range Maximum: Not Available
  • Employment Type: Full-Time
  • Employment Category: Exempt
  • Visa Sponsorship Available: No
  • Schedule:
  • Pay Grade: No Grade


Posting Description

TECHNICAL ASSOCIATE I, DiCarlo Lab, will support and contribute to multidisciplinary research focused on understanding the neuronal algorithms and circuits that underlie visual object recognition; support and contribute to the day-to-day activities of a team of technician(s), graduate students and post-docs to expand and scale the throughput of neural and behavioral data collection; assist in the oversight of a state-of-the art laboratory and animal colony by providing research and animal care support; serve (alongside other technician(s)) as liaison between lab and Department of Comparative Medicine (DCM) to clearly communicate needs regarding animal care, health, scheduling, etc. co-serve as a point-person for animal training and handling; work closely with DCM to develop and execute new protocols; ensure proper training of lab members; assist in writing, maintaining and amending laboratory safety protocols and SOPs; assist in planning and preparing for surgical procedures. This position offers opportunities for direct participation in research projects, including the co-authoring of publications where appropriate.

Job Requirements

REQUIRED: Bachelor's degree in neuroscience, biology, psychology, or a related field; a minimum of two years of experience working in a research laboratory; basic computer skills; ability to be proactive; strong organizational, communication and time-management skills; and independent and self-motivated, yet able to work collaboratively with other lab members. PREFERRED: Experience with animal research and ability to work comfortably with laboratory animals and background in engineering and or experience with computer science/coding. Job #25077

It is expected that the candidate dedicates a minimum of two years to the position.

7/17/2025