Technical Associate I, Chung Lab

Technical Associate I, Chung Lab

• Job Number: 26203
• Functional Area: Research - Scientific
• Department: Picower Institute for Learning & Memory
• School Area: Science
• Pay Range Minimum: $50,000
• Pay Range Maximum: $63,000
• Employment Type: Full-Time
• Employment Category: Exempt
• Visa Sponsorship Available: No
• Schedule:
• Pay Grade: No Grade

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Posting Description

Technical Associate I, Chung Lab (https://www.chunglab.org/) , Picower Institute for Learning and Memory (https://picower.mit.edu/) , is an experienced multidisciplinary early-career scientist/engineer with background in chemical engineering/materials engineering/neuroscience/optics. The technician will play a critical role in protocol development/optimization and data generation for a large NIH UM1 center aimed to map the human and non-human primate brain atlases using state-of-the-art technology pipeline consisting of novel tissue processing methods, molecular probe labeling, and volumetric optical imaging techniques. Will work closely with senior lab members and Principal Investigator to ensure the smooth operation of the research project. The technician will participate in molecular probe validation, and holistic, quantitative proteomic and transcriptomic data generation with brain tissues. Responsibilities include: Experimental support, Lab maintenance; equipment management; data collection; sample handling; collaboration with researchers, colleagues, and external partners; documentation and report preparation; data and experiment quality control; and troubleshoot technical issues. The full job description is available here: https://acrobat.adobe.com/id/urn:aaid:sc:va6c2:ed2f2dcb-d648-4e8b-af50-cf9508d23cf4

Job Requirements

REQUIRED: Bachelor's degree in a relevant scientific field (e.g., chemical engineering, materials sciences, biology, chemistry, neuroscience); A minimum of two years of previous laboratory experience; proficiency in laboratory techniques and equipment operation; strong attention to detail, organizational skills, and the ability to work independently; effective communication skills and the ability to work collaboratively in a team-oriented environment; and knowledge of laboratory safety protocols and practices. PREFERRED: Hands-on research experience; or familiarity with data analysis software and toolsThis position is ideal for individuals planning to pursue medical school or graduate study in a scientific discipline.10/30/2026