Find & Apply For Physical / Geoscience Technician Jobs In Louisiana
Physical / Geoscience Technician jobs in Louisiana involve collecting samples, conducting tests, and analyzing geological data to support research and mining operations. Technicians work in varied settings, from laboratories to field sites, aiding in the exploration and extraction of natural resources. They prepare reports and maintain equipment, ensuring accurate and efficient project outcomes. Below you can find different Physical / Geoscience Technician positions in Louisiana.
Latest Jobs
Explore the diverse opportunities in the Physical/Geoscience Technician job market in Louisiana. From environmental monitoring to oil and gas exploration, the possibilities are endless.
Louisiana Physical / Geoscience Technician Industry Trends & Salary Information
Physical/Geoscience Technicians in Louisiana play a crucial role in collecting and analyzing data related to the earth's natural resources and physical properties. - Entry-level Physical/Geoscience Technician salaries range from $30,000 to $40,000 per year - Mid-career Geological Technician salaries range from $40,000 to $55,000 per year - Senior Geoscience Specialist salaries range from $55,000 to $75,000 per year The history of Physical/Geoscience Technicians in Louisiana dates back to the early exploration and mapping of the state's geological formations and natural resources. These technicians have been instrumental in supporting industries such as oil and gas, mining, and environmental conservation. Over the years, the role of Physical/Geoscience Technicians in Louisiana has evolved to incorporate advanced technologies such as Geographic Information Systems (GIS), remote sensing, and computer modeling. This evolution has enhanced the accuracy and efficiency of data collection and analysis in various geoscience fields. Current trends in the field of Physical/Geoscience Technicians in Louisiana include the integration of sustainable practices in resource management, the use of drones for aerial surveys, and the application of machine learning algorithms in data interpretation. These trends reflect the industry's commitment to innovation and environmental stewardship.
