Applied Physical Scientist

Responsibilities: Scientific Analysis and Algorithm Development Design and implement algorithms for SDA applications, including object detection, tracking, and characterization in space environments. Analyze SDA-related datasets and simulations to improve space situational awareness and decision-making capabilities. Apply expertise in statistics, data modeling, simulation, and advanced mathematics to identify patterns and deliver innovative solutions. Perform image processing, coordinate transformations, sensor calibration, and related analytical tasks as needed. Software Development and Deployment Develop production-quality code in Python and Java/Spring Boot, following modern software engineering practices including version control, code review, automated testing, and CI/CD.Containerize algorithms and services using Docker for deployment to Kubernetes clusters. Participate in the full development lifecycle: design, implementation, testing, deployment, and monitoring. Collaboration and Communication Collaborate with SDA and EOIR domain experts to refine algorithm requirements and validate results. Partner with software engineers to integrate scientific algorithms into robust, deployable services. Engage with customers to present technical results, gather feedback, and define future tasking. Communicate complex technical results clearly to both technical and non-technical audiences. Communicate complex technical results clearly to both technical and non-technical audiences. Education/

Qualifications: Education Master's degree in Astronomy, Physics, Applied Mathematics, or a closely related discipline. Domain Knowledge Strong technical background in astronomy or physics. Practical knowledge of telescopes and optical systems, including observation planning or mission design. Experience with standard astronomical data analysis and reduction procedures. Strong mathematical foundation, with experience applying statistical methods to scientific data. Active TS/SCI security clearance is required. U.S. citizenship is required. Software Development Programming fluency in Python with scientific computing libraries (Num Py, Sci Py, or equivalent).Experience with Java development; Spring Boot experience strongly preferred. Familiarity with containerized development workflows (Docker, Kubernetes).Experience with CI/CD pipelines (Jenkins or equivalent).Working knowledge of MongoDB or similar document databases. Proficiency with Git for version control and collaborative development. Experience writing automated tests (unit, integration) for scientific and production code. Desired experience with STK (Ansys Systems Tool Kit), OD++ or similar orbit determination software.