MLT & MLS Hiring Event — Minnesota Lab Careers

QUEST DIAGNOSTICS INC; Minnesota; On-site; USD 52,000 - 78,000; Full time

Job summary

Quest Diagnostics is hosting a Lab Ops Hiring Event in Minnesota, seeking Medical Laboratory Technicians (MLT) and Medical Laboratory Technologists (MLS) to support Allina Health across multiple Greater Minneapolis locations.

Ideal candidates will have phlebotomy experience or training and the ability to perform routine and some high-complexity testing under supervision, with strong attention to quality, safety, and data integrity.

Qualifications

• Prior experience or training in moderate or high complexity testing laboratory.
• Knowledge of CLIA/HIPAA/OSHA requirements and lab safety practices.
• ASCP certification or equivalent credentials is preferred.

Responsibilities

• Perform and report on assigned analytical tests following SOPs and QC requirements.
• May perform moderate/high complexity testing with on-site training and supervision.
• Ensure proper specimen handling, processing, and accurate recording of results.
• Maintain turnaround times and address STATS or critical results promptly.
• Document QC analysis and instrument performance; escalate issues to supervision.
• Review and enter test results into the Laboratory Information System for reporting.

Skills

Attention to detail

Independent work

Prioritization

Multitasking

Interpersonal skills

Communication skills

Confidentiality

Microsoft Office

Laboratory Information Systems

Education

Associates degree in Laboratory Science or Medical Technology

Bachelor’s degree in Medical Technology or Chemistry/Biology

Tools

Microsoft Office

Laboratory Information Systems (LIS)

Job description

Quest Diagnostics is hosting a Lab Ops Hiring Event in Minnesota, seeking Medical Laboratory Technicians (MLT) and Medical Laboratory Technologists (MLS) to support Allina Health across multiple Greater Minneapolis locations.

Ideal candidates will have phlebotomy experience or training and the ability to perform routine and some high-complexity testing under supervision, with strong attention to quality, safety, and data integrity.