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2 senior scientist jobs found

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Programming senior scientist
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University of Southern California (USC)  (1) Leidos  (1)
Leidos
Oct 01, 2026
Full time
Software Engineer
$87,100 - $157,450 yearly
Leidos San Diego, CA
Ignite your curiosity. Solve the unsolvable. At Leidos, we do more than write code—we decode the unknown. Our San Diego-based research and engineering team takes on some of the nation’s toughest defense challenges using advanced signal processing, ocean remote sensing, and high-performance computing. We’re seeking a Software Engineer / Computer Scientist who enjoys solving complex problems and pushing the limits of performance. In this role, you’ll work alongside a multidisciplinary team of scientists and engineers with expertise in hydrodynamics, physics, acoustics, and signal processing to build impactful software that turns massive, complex data sets into meaningful insight. If you are motivated by innovation, energized by collaboration, and excited to see your work support real-world missions, this could be the right opportunity for you. What You’ll Do Collaborate with scientists and engineers to design, develop, and optimize advanced algorithms for next-generation radar,...
University of Southern California (USC)
Sep 01, 2026
Full time
Research Programmer II
$108,000 - $124,000 yearly
University of Southern California (USC) Los Angeles, CA
The University of Southern California (USC), founded in 1880, is located in the heart of downtown L.A. and is the largest private employer in the City of Los Angeles. As an employee of USC, you will be a part of a world-class research university and a member of the “Trojan Family,” which is comprised of the faculty, students and staff that make the university a great place to work. About CSI-Cancer The USC Michelson Center Convergent Science Institute in Cancer (CSI-Cancer) brings together engineers, data scientists, biologists and clinicians to tackle fundamental and translational problems in cancer—from mechanistic modeling and physical dynamics of metastasis to high-content single cell data and advanced machine learning. Our vision is to integrate patient, model system and high‐dimensional data to achieve a mechanistic understanding of cancer dynamics across scales. We are studying circulating tumor cells (CTCs) and other analytes in liquid biopsies (blood, bone marrow...
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