Staff Research Technician

Take on an important role in a world-class health organization at our Department of Computational Medicine at UCLA. The department provides a hub for collaborations across the UCLA campus to enable scientific discovery in biomedical data sciences and then works hand in hand with the UCLA Health System to apply these discoveries to improve patient care. Within UCLA's campus lies a prestigious medical school, a world-class research hospital, and nationally-ranked departments within the engineering school with significant strength in data sciences.

Utilize your skills and knowledge, while growing your career as a Staff Research Technician (SRA 2). With guidance from the Laboratory Manager and Principal Investigator, the Staff Research Technician will assist in the development of genomic testing and analyses for Federally-funded projects.

Duties include:

• Performing PCR analysis on large volumes of assays.
• Sequencing assays, and performing proliferation assays.
• Cataloguing results on the clinical database.
• Reposting outlying results.
• Isolation of RNA and DNA from swabs.
• Preparation of protein lysates and performing western blots as needed.

At UCLA Health, our passion for discovery and our limitless curiosity have enabled us to become a world-renowned source of medical breakthroughs. In addition to the extensive medical research and clinical education capabilities of the David Geffen School of Medicine, we're home to four award-winning hospitals and more than 270 community clinics throughout Southern California. If you're looking to experience greater challenge and fulfillment in your career, come to UCLA Health.

Salary range: $28.88 - $46.46 Hourly

Requirements:

• Experience in biology, microbiology or related area.
• Ability to perform gel electrophoresis.
• Experience in cell culture procedures.
• Ability to perform RNA analysis.
• Ability to organize raw data into relevant format.
• Skills in isolation of biological materials, (DNA, RNA and protein) from tissues and cell lines as well as the cataloging and management of resources using relational computer database.

Experience tissue culture, cell maintenance type work as well as cell proliferations assays is preferred.