Find & Apply For Cytogenetic Technologist / Cytotechnologist Jobs In Jefferson, Louisiana
Cytogenetic Technologist / Cytotechnologist jobs in Jefferson, Louisiana involve analyzing human cells for abnormalities using various techniques. Responsibilities include preparing samples, conducting tests, and interpreting results. These professionals play a vital role in diagnosing and treating diseases. Below you can find different Cytogenetic Technologist / Cytotechnologist positions in Jefferson, Louisiana.
Jobs in Jefferson
Browse jobs from a variety of sources below, sorted with the most recently published, nearest to the top. Click the title to view more information and apply online.
Birth Tissue Recovery Technician
Telagen
Jefferson, LA
CLS/MT Nights 7on7off
LCMC Health
Jefferson, LA
MLT NIGHTS- Updated Salary Rates
LCMC Health
Jefferson, LA
Sonographer – Jeff Highway – Full Time (6:45a-7:15p)(Rotating Days)
Ochsner Health
Jefferson, LA
Latest Jobs in Jefferson
Salary Information & Job Trends In this Region
Cytogenetic Technologists / Cytotechnologists in Jefferson, Louisiana play a crucial role in analyzing and diagnosing genetic disorders and cancer through microscopic examination of cells. - Entry-level Cytogenetic Technologist salaries range from $45,000 to $55,000 per year - Mid-career Cytotechnologist salaries range from $55,000 to $70,000 per year - Senior-level Cytogenetic Technologist salaries range from $70,000 to $90,000 per year The history of cytogenetic technologists in Jefferson, Louisiana dates back to the mid-20th century when advancements in genetics led to the development of specialized techniques for analyzing chromosomes and genetic material. Over the years, the role of cytogenetic technologists has evolved to include more sophisticated testing methods, such as fluorescence in situ hybridization (FISH) and array comparative genomic hybridization (aCGH), allowing for more precise and accurate diagnosis of genetic disorders and cancer. Current trends in cytogenetic technology in Jefferson, Louisiana include the integration of next-generation sequencing (NGS) technologies, which allow for faster and more comprehensive analysis of genetic material, as well as the use of artificial intelligence and machine learning algorithms to aid in data interpretation and analysis.
