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Posted: 25-May-26
Location: Los Angeles, California
Internal Number: 152223888
The Department of Surgery, Division of Liver and Pancreatic Transplant, is seeking a motivated and dedicated Part-Time Staff Research Associate I to join a cutting-edge Liver and Pancreatic Transplant research laboratory under the mentorship of Dr. Fady Kaldas. This position will involve working in a dynamic research environment focused on advancing the field of liver and pancreatic transplant. The candidate will be responsible for the processing of human specimens following established and approved protocols, maintaining detailed and accurate records, assisting with ordering and stocking lab supplies, and ensuring lab safety.
Hourly salary range: $28.69 - $34.21
This is a part-time, limited appointment, may convert to career.
Required:
- Skill in routine molecular and cellular biology techniques with and without laboratory equipment.
- Ability to communicate effectively on a one-to-one basis sufficiently to convey experimental results to principal investigators.
- Ability to take direction as well as to work independently.
- Ability to follow direction and follow the appropriate steps according to protocols.
- Writing skills and ability sufficient to fully and accurately document all lab work in a notebook according to lab standards.
- Ability to analyze research data and prepare clear, concise and accurate technical reports.
- Interpersonal skill to interact and collaborate effectively with scientist coworkers, graduate students and faculty.
- Ability to create and maintain accurate inventories of various items.
- Reading skills sufficient to understand specific protocol relevant journal articles, and equipment.
- Computer literacy and ability to perform data entry.
- Experience working with regulatory approvals and documentation
- Ability to work standing for long stretches of time and up to 90% of the day.
- Ability to work with clinical specimens according to standard protocols
- Experience and ability with cell and tissue culture methods
Preferred:
- Ability to organize raw data into relevant formats.
