Postdoctoral Associate, Chung Lab

Massachusetts Institute of Technology; Cambridge (MA); On-site; USD 50,000 - 70,000; Full time

Job summary

A prestigious research institution in Cambridge is seeking a Postdoctoral Associate for the Chung Lab at the Picower Institute for Learning and Memory. The role involves generating spatial transcriptomic and proteomic imaging data through advanced techniques. The candidate will conduct experiments, optimize protocols, and collaborate with interdisciplinary teams. The ideal candidate should have experience in tissue processing, molecular probe staining, and light sheet microscopy. This opportunity contributes significantly to NIH-funded research projects.

Qualifications

• Experience in spatial transcriptomics and proteomics.
• Strong proficiency in tissue processing and molecular probe staining.
• Knowledge of volumetric data acquisition with light sheet microscopy.

Responsibilities

• Conduct experiments and optimize various protocols for consistent results.
• Collaborate with teams for protocol validation experiments.

Job description

POSTDOCTORAL ASSOCIATE, Chung Lab, Picower Institute for Learning and Memory

will assume a position under the primary mentorship of Professor Kwanghun Chung and is a pivotal role responsible for generating spatial transcriptomic and proteomic optical imaging data of human and non-human primate brains, utilizing the novel technology pipeline established by the Chung Lab, including tissue processing, molecular probe staining, and volumetric data acquisition using light sheet microscopes. The successful candidate will be a direct contributor to a large NIH UM1 research center, entitled Center for Multi-scale Multi-Omic Human and Non-human Primate Atlas. The primary responsibilities of the postdoctoral associate are to independently conduct experiments and optimize various protocols to ensure successful and consistent results. They will also work closely with the collaborating teams across the center to conduct necessary protocol validation experiments.

The full job description is available here: https://acrobat.adobe.com/id/urn:aaid:sc:VA6C2:b74beba8-716f-4ab4-b791-2fb6c087ca7f