Research Assistant

You are a Data Collection Specialist with expertise in LiDAR technology, Python programming, and hands-on field experience. Your main responsibility is to collect, process, and analyze geospatial data to ensure high-quality deliverables for various projects. This role involves technical fieldwork, data handling, and programming primarily in Python to facilitate accurate data capture and analysis. You will operate LiDAR equipment and sensors in the field for accurate geospatial data collection. Additionally, you will set up, test, and maintain equipment such as UAVs, LiDAR scanners, and GPS units to ensure proper operation for data collection tasks. Post-processing raw LiDAR data and integrating it into GIS systems is also part of your responsibilities, ensuring data integrity and accuracy. You will develop and utilize Python scripts to automate data processing tasks, enhance workflows, and perform data quality checks. Collaborating with teams of geospatial engineers, surveyors, and field technicians to collect data from multiple project sites is essential. You will prepare reports and maintain documentation for all data collection activities to ensure transparency and traceability. Monitoring the quality and completeness of data collected, troubleshooting any equipment or software issues in real-time, adhering to field safety protocols, and ensuring compliance with industry regulations and project guidelines are crucial aspects of the role. You should have a Bachelor's degree in Geospatial Science, Engineering, Surveying, or a related field, along with 2+ years of experience with LiDAR systems, data collection, and processing. Proficiency in Python programming for data processing and automation, experience in field technician duties, and familiarity with LiDAR data collection and post-processing software are required. Strong knowledge of Python and geospatial libraries, understanding of GIS systems and tools, and soft skills such as attention to detail, problem-solving, and excellent communication skills are essential for this role. LiDAR Technician Certification, Python Programming Certification, and UAV Pilot Certification are preferred but not required. This position involves frequent travel to project sites, including outdoor environments and various weather conditions. Fieldwork may require physical activity, including lifting and carrying technical equipment. You will receive a competitive salary and benefits package, opportunities for professional development and certification, and the chance to work on cutting-edge projects in geospatial data and technology.,