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Research Scientist

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Onsite

Research Scientist

Peerless Technologies Corporation

Research Scientist

Skills

PythonMATLABRData AnalysisMachine LearningAI

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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