Neurobiology Research Associate — In Vivo Brain Imaging

Merge Labs; San Francisco (CA); In loco; USD 110.000 - 150.000; Tempo pieno

Descrizione del lavoro

Merge Labs is seeking a Neurobiology Research Associate to advance in vivo neuroscience using light- and ultrasound-based imaging tools, genetically encoded indicators, and effectors in rodents. You will develop robust protocols and generate rigorous, reproducible data to inform scientific and technical strategy.

You will collaborate with engineers and scientists to close the loop between experimental execution and data analysis, maintain lab records and inventories, and contribute to method

Competenze

• Hands-on experience executing in vivo brain imaging experiments in model organisms (e.g., mouse).
• Strong attention to detail and rigorous documentation practices.
• Experience collaborating across scientists and engineers to refine protocols.

Mansioni

• Execute in vivo imaging experiments in rodents, including setup, calibration, and session execution.
• Collaborate with scientists and engineers to refine imaging protocols and success criteria.
• Maintain accurate lab records, inventories and shared resources (imaging hardware, consumables, protocols).
• Troubleshoot common issues in in vivo imaging and contribute to method development as the program grows.

Conoscenze

In vivo imaging experience

Neuroscience knowledge

Data integrity & documentation

Collaborative team player

Formazione

BS/BA/MS in Neuroscience or related field

Strumenti

Python

MATLAB

Descrizione del lavoro

Merge Labs is seeking a Neurobiology Research Associate to advance in vivo neuroscience using light- and ultrasound-based imaging tools, genetically encoded indicators, and effectors in rodents. You will develop robust protocols and generate rigorous, reproducible data to inform scientific and technical strategy.

You will collaborate with engineers and scientists to close the loop between experimental execution and data analysis, maintain lab records and inventories, and contribute to method