Quest Diagnostics
Forensic Toxicology Laboratory Processing Technician I
Lenexa, KS, United States · Part-time
Stay score
odds of building a lasting career here
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- This individual is accountable for all specimen receipt, sorting, data entry and work within the forensic processing department.
- Pay range: $17.20+ per hour Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, certifications obtained.
- Market and organizational factors are also considered.
Requirements
- High School Diploma or Equivalent (Required)
Skills
- Interpersonal communication skills
Compensation
- $17.20+ per hour
- Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, certifications obtained.
- Successful candidates may be eligible to receive annual performance bonus compensation.
- Annual incentive plans
- Annual, no-cost health assessment program Blueprint for Wellness®
Benefits
- Vacation and Health/Flex Time (part-time employees scheduled to work at least 20 hours per week)
- Employee stock purchase plan
- Education assistance through MyQuest for Education
- Annual, no-cost health assessment program Blueprint for Wellness®
This listing is sourced directly from Quest Diagnostics's careers page and normalized into a canonical job model.