Staff Research Associate I - Surgery (part-time, limited)

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.