Quantitative Methods Research Scientist

About the role

The Quantitative Methods Research Scientist will support ARLIS’s expanding research portfolio in operational innovation and information, contributing to government‑sponsored projects in AI/ML, decision support, information warfare, NLP, and OSINT.

Key responsibilities

• Conduct quantitative social science research, design experiments, and perform statistical analyses.
• Lead basic and applied research projects, develop prototypes, and integrate systems for field deployment.

Required profile

• Doctoral degree or Master’s with 5 years of relevant research experience.
• Demonstrated scholarly production such as conference presentations, journal articles, code, or datasets.
• Ability to obtain and maintain a US security clearance (Secret required, TS/SCI preferred).

Required skills

• Proficiency with statistical analysis programs (e.g., Matlab, R).
• Programming skills in Python and C++.
• Strong research design and quantitative methods expertise.
• Familiarity with social science concepts and Microsoft Office.

What we offer

• Salary range $120,000 – $180,000 per year.
• Faculty benefits as provided by the University of Maryland.