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Description

Come join our exceptional Department of Neurobiology, and help lead the advancement of cutting-edge basic science research into explorations of the brain and central nervous system. In this Staff Research Assistant (SRA) 2 role you'll:

• Conduct image processing and analysis of light microscopic imaging data.

• Reconstruct neurons and their connectivity through semi-automatic and manual segmentation methods, utilizing both proprietary internal software and commercial imaging software packages.

• Act as a go-to in connectomics imaging for collaborators and advise the PI on the latest trends and developments in the field.

• Evaluate and recommend emerging commercial software and technological innovations for integration into current and prospective projects and experiments.

• Perform imaging of research specimens through fluorescence microscopy, which includes cryosectioning, immunostaining, mounting, and data collection.

• Leverage expertise to collaborate with the PI and lab manager in designing experiments focused on brain tissue, transforming these into detailed imaging data.

• Provide specialized knowledge at the intersection of neuroimaging research, bridging wet lab and computational lab functions.

UCLA Health is a world-renowned health system with four award-winning hospitals and dozens of primary care practices, specialty practices, urgent care centers and other ancillary locations throughout metro Los Angeles as well as the David Geffen School of Medicine, which is an internationally-respected center of advanced medical education and research. If you're looking to experience greater challenge and fulfillment in your career, you can at UCLA Health.

Salary range: $28.04 - $45.11 HourlyQualifications

Required:

• Previous experience in connectomics.

• Familiarity with biochemical techniques and skill to perform all necessary biochemistry experiments.

• Strong familiarity with electron microscopy techniques and expertise in the use of the electron microscope.

• Understanding of the theory of image formation and tomographic reconstruction.

• Working knowledge of the computational tools required for 3D reconstruction of tomographic series, such as the weighted back projection and the watershed algorithms.

• Detailed understanding of segmentation methods and ability to perform 3D renderings with a variety of techniques.

• Excellent written and verbal communication skills, and the ability to draft and present research.

UCLA Health welcomes all individuals, without regard to race, sex, sexual orientation, gender identity, religion, national origin or disabilities, and we proudly look to each person’s unique achievements and experiences to further set us apart.