New

Imaging Scientist Intern

Varex Imaging Corporation
sick time, 401(k)
United States, California, San Jose
Feb 17, 2026
To apply to a Varex Imaging position, please create an account and sign-in. CURRENT VAREX IMAGING EMPLOYEES: Please apply by logging into your internal Workday Account. SummaryVarex Imaging Inc., the world's largest supplier of X-ray imaging components used in devices such as computed tomography (CT) scanners and cargo inspection systems, is seeking an enthusiastic imaging scientist to perform Monte Carlo modeling of X-ray transport in diagnostic imaging systems and to investigate methods to address the modeled nonlinearities in CT reconstructions. You will join a team that develops pre-processing and reconstruction software for direct and indirect detectors. What you will do: Model x-ray and charge transport in photon counting detectors using GEANT4 and other tools. Model x-ray transport (primary and scatter) through the human anatomy. Acquire experimental data. Investigate the impacts of detector nonlinearities on CT reconstructions, and investigate possible remediations. Perform DQE simulations. Skills required: - Physics of X-ray photon transport - CT calibration and reconstruction prinicipals - Numerical methods and optimization techniques - C++, Matlab or Python - X-ray and CBCT lab experience Skill desired: - Cloud computing - GEANT4 Education & Experience: - Ph.D or Masters Student in physics, electrical engineering, or a related field. The summer internship will run from May 2026 thru August 2026 Job Description Time Type: Full time Job Type: Intern (Fixed Term) (Trainee) Work Shift: First Shift Pay Rate Type: Hourly Benefits and Perks Varex Imaging provides competitive pay and benefits to support the financial, physical, and emotional well-being of the people who make our company successful. Holiday Pay Paid Sick Leave 401K match Friendly Work Environment Career Advancement Opportunities All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.