Health Physicist Data Specialist at Radiation Detection Com
Georgetown, TX 78626, USA -
Full Time


Start Date

Immediate

Expiry Date

06 Jul, 25

Salary

0.0

Posted On

06 Apr, 25

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

Join Our Team as a Health Physicist Data Specialist! ✨
Are you passionate about science, data, and making an impact? Do you love solving puzzles and working with cutting-edge technology? If so, we have the perfect opportunity for you!
As a Health Physicist Data Specialist, you’ll play a crucial role in improving the performance and accuracy of dosimetry products through data-driven insights. Your work will help ensure the safety and success of our clients by optimizing radiation exposure monitoring, enhancing client support, and driving innovation. Plus, you’ll get to work on diverse projects, learn new skills, and collaborate with industry experts—all while making a real difference!

Responsibilities
  • Be the go-to expert in Health Physics & Dosimetry, providing top-notch client support and troubleshooting complex technical challenges.
  • Diagnose & resolve sophisticated dosimetry and radiation protection issues, analyzing data to identify anomalies and implement solutions.
  • Ensure compliance with industry regulations (ISO 17025, NRC 10CFR20, OSHA) to maintain dosimetry accuracy and safety.
  • Use data to analyze trends, spot performance gaps, and apply statistical techniques to enhance system reliability.
  • Mentor & innovation - coach teams on experimental design and analytical methodologies, work with R&D, and drive technical excellence.
  • Extract & interpret large amounts of dose data to improve predictive analytics, automate processes, and refine system performance.
  • Enhance radiation exposure monitoring by developing solutions that provide actionable insights for clients. Boost efficiency - streamline workflows, optimize tracking, and align operations with business goals.
  • Leverage AI-driven models or predictive analytics for sensor calibration and exposure forecasting.
  • Share knowledge - develop resources and training materials to support clients and internal teams.
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