Peerless Technologies Corporation
Research Scientist
Skills
10 days ago
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Important information
Contract type:
Permanent
Location:
Albuquerque, NM, USA
Work mode:
Onsite
Published on:
16 October 2026
What they need
Peerless Technologies is seeking a Research Scientist to support scientific research and development in defense-related applications. The selected candidate will apply scientific data processing, numerical methods, software algorithms, modeling and simulation (M&S), and physics-based analysis to solve complex technical challenges and advance mission-focused capabilities.
Key Responsibilities
- Conduct advanced research in scientific data processing, numerical techniques, software algorithms, modeling and simulation, and physics phenomenology.
- Develop and implement innovative algorithms, models, and computational methods to address complex scientific problems.
- Analyze large datasets to identify trends, generate insights, and support research objectives.
- Collaborate with multidisciplinary teams to integrate research findings into software applications and technical solutions.
- Work with end-user customers to identify future M&S requirements, recommend feature enhancements, and resolve software defects.
Requirements
- Bachelor's degree in Physics, Engineering, Computer Science, or a related technical field.
- At least 3 years of research experience supporting DoD projects, such as major weapon systems or major acquisition programs (e.g., ACAT).
- Experience in scientific data processing, numerical methods, software algorithms, modeling and simulation, and physics phenomenology.
- Proficiency in programming languages such as Python, C++, MATLAB, R, or similar.
- Experience with scientific computing and data analysis tools.
- Strong analytical and problem-solving skills, with the ability to work independently and collaboratively.
- Excellent written and verbal communication skills.
Preferred Qualifications
- Master's or Ph.D. in Physics, Engineering, Computer Science, or a related field.
- Experience applying machine learning and artificial intelligence techniques.
- Familiarity with high-performance computing environments.
- Experience contributing to interdisciplinary research and development projects.
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