Research Technician II — Cancer Lab Data & Wet-Lab Support

Washington University in St. Louis; St. Louis (MO); On-site; USD 23,000 - 36,000; Full time

Benefits offered by this job

Up to 22 days of vacation

Holiday and sick time

Health insurance

Metro U-Pass transit benefit

Tuition assistance for employee and/or

Job summary

Washington University in St. Louis is seeking a Research Technician for the Kramer Lab within WashU Medicine's Division of Oncology. The role focuses on AI-designed molecules to study and treat AML, working with model systems and patient samples.

Primary duties include wet-lab experiments, cell culture, and data analysis, with substantial hands-on training at the start. The ideal candidate will eager learn, troubleshoot, and contribute to cancer research.

Qualifications

• Bachelor’s degree or combination of education and/or experience may substitute for minimum education.
• No specific certification/professional license is required.
• No specific work experience is required for this position.
• Bachelor’s degree in a scientific discipline and some experience working in a laboratory are strongly preferred.

Responsibilities

• Assist with research studies, experiments and assays, including collection of data, preparation of solutions and setup and maintenance of equipment.
• Performs data entry and maintains data files on research.
• Prepares tissue cultures, reagents, probe tests, etc.
• Complies with established safety procedures and maintains required documentation on laboratory and specimen conditions.
• Ensures lab conditions and equipment are properly cleaned and maintained in accordance with established procedures.
• Assists with general lab maintenance and cleaning.
• Performs other duties as assigned.

Skills

Communication

Detailed Reports

Laboratory Instrumentation

Laboratory Research

Software Program

Working Independently

Education

Bachelor’s degree

Job description

Washington University in St. Louis is seeking a Research Technician for the Kramer Lab within WashU Medicine's Division of Oncology. The role focuses on AI-designed molecules to study and treat AML, working with model systems and patient samples.

Primary duties include wet-lab experiments, cell culture, and data analysis, with substantial hands-on training at the start. The ideal candidate will eager learn, troubleshoot, and contribute to cancer research.