Evening Clinical Technologist – Accessions & Cytology

Yale University; New Haven (CT); On-site; USD 30,000 - 39,000; Full time

Job summary

Yale University in New Haven, CT is seeking a Clinical Technologist 1 for the evening accessioning shift to support gynecologic specimen processing and accessioning tasks. The role involves registration, triage, sample preparation for molecular testing, and ensuring accurate labeling and documentation.

The position requires strong computer skills and prior clinical laboratory experience, with familiarity in EPIC, Beaker, and Copath systems.

Qualifications

• Four years of related work experience, two of them in the same job family at the next lower level, and a high school level education; or two years of related work experience and an Associate's degree; or an equivalent combination of experience and education.

Responsibilities

• Performs laboratory tests and procedures in such areas as histology, medical technology, cytology, and cytogenetics. Records results. Interprets results of tests and procedures.
• Sets up, operates and maintains laboratory equipment. Instructs support staff on laboratory techniques.
• Prepares specimens, tissue, bodily fluid samples, and other matter for analysis and diagnosis using non-routine laboratory techniques.
• Stains and mounts slides; prepares solutions and media; and cultures tissues.
• Orders and maintains inventory of supplies. Performs additional functions incidental to laboratory activities.

Skills

Multitasking

Anatomy terms

Lab experience

Communication

EPIC

CoPath

SurePath

Education

Four years related work experience

Associate's degree

Tools

EPIC

Beaker

Tubetracker

Copath

HAT

Job description

Yale University in New Haven, CT is seeking a Clinical Technologist 1 for the evening accessioning shift to support gynecologic specimen processing and accessioning tasks. The role involves registration, triage, sample preparation for molecular testing, and ensuring accurate labeling and documentation.

The position requires strong computer skills and prior clinical laboratory experience, with familiarity in EPIC, Beaker, and Copath systems.