Temporary Research Technician, Human Performance Lab

NC State University; Raleigh (NC); Sur place; USD 19 000 - 27 000; Plein temps

Avantages offerts par ce poste

Health Insurance for Temporary Em ploy

LEAD courses

Attend non‑revenue sporting events for

Résumé du poste

NC State University in Kannapolis, NC is seeking a Temporary Research Technician to support the Human Performance Laboratory during active research studies. The role focuses on assisting with clinical research and community‑based fitness testing, with scheduling and recruitment duties as needed.

Responsibilities include conducting exercise and fitness assessments, collecting and processing biological samples, maintaining equipment, and ensuring data quality.

Qualifications

• Combination of training and experience required to perform the duties.
• Experience conducting biochemistry lab assays would be beneficial.
• Must be a team player with flexible schedule.
• Familiar with Microsoft Office Suite or similar software.
• Ability to coordinate human subject testing and recruitment.

Responsabilités

• Recruit and schedule participants and conduct exercise and fitness assessments.
• Assist with fitness classes and collect/process biological samples.
• Maintain laboratory equipment and ensure quality control.
• Collaborate with research staff and follow protocols and safety policies.

Connaissances

Teamwork

Flexibility

MS Office

Communication

Formation

Undergraduate degree in biology/exercise science/physiology/biochemistry or related field

Outils

Lab equipment handling

Description du poste

NC State University in Kannapolis, NC is seeking a Temporary Research Technician to support the Human Performance Laboratory during active research studies. The role focuses on assisting with clinical research and community‑based fitness testing, with scheduling and recruitment duties as needed.

Responsibilities include conducting exercise and fitness assessments, collecting and processing biological samples, maintaining equipment, and ensuring data quality.