Quantitative Methods Research Scientist

University of Maryland•College Park, MD

19h•$120,000 - $180,000•Onsite

About The Position

The Quantitative Methods Research Scientist will support ARLIS’s expanding research portfolio in operational innovation and information. The role will contribute to a portfolio of government-sponsored projects addressing emerging challenges in areas such as artificial intelligence/machine learning (AI/ML), decision support, information warfare, language assessment and training, natural language processing (NLP), and open-source intelligence (OSINT). The role may include a focus on research development, prototyping, experimentation, systems integration, and/or field deployment. Final appointment title and responsibilities will be based on qualifications and matched to programmatic needs. Must be able to obtain a US security clearance. If selected, must meet the requirements for access to classified information and will be subject to a government security clearance investigation that includes criminal and credit history checks, as well as verification of U.S. citizenship, birth, education, employment, and military history. Final offer is contingent upon the candidate’s ability to successfully obtain the necessary interim Secret security clearance, as determined by the government sponsor, prior to commencing employment.

Requirements

Doctoral degree or Master’s and 5 years of research experience in a relevant field, from an accredited college or university.
Evidence of sound scholarly production (e.g., conference presentations, published journal articles, published code, published datasets, technical reports).
Demonstrate all the relevant skills required for carrying out quantitative social science research.
Background in and demonstrated proficiency with quantitative social science research methods and statistical analyses.
Experience leading basic and/or applied research projects.
Extensive experience with one or more statistical analysis programs (e.g., Matlab, R).
Skill in research design.
Familiarity with social science concepts.
Skill in the use of Microsoft Office products.
Ability to multi-task and prioritize assignments.
Ability to analyze situations and determine the best recourse for response.
Must be able to obtain a US security clearance.

Nice To Haves

Doctoral degree or Master’s with 5 years experience in psychology, neuroscience, political science, linguistics, data analytics, computer science, or related field.
Comfort working both independently and collaboratively in a fast-paced, evolving environment.
Strong organizational skills and attention to detail.
Active, or eligible for a security clearance; prior clearance at SECRET or higher that is active or inactive is preferred; current TS/SCI clearance strongly preferred.
Foreign language capabilities, at the advanced level.
Programming skills (e.g., Python, C++).
Experience working with multidisciplinary project teams.
Experience working on federal contracts or grants.
Experience with Artificial Intelligence/Machine Learning research.
Experience with population modeling.
Experience with human subjects research design.

Responsibilities

Contribute to a portfolio of government-sponsored projects addressing emerging challenges in areas such as artificial intelligence/machine learning (AI/ML), decision support, information warfare, language assessment and training, natural language processing (NLP), and open-source intelligence (OSINT).
Research development, prototyping, experimentation, systems integration, and/or field deployment.
Carrying out quantitative social science research.
Leading basic and/or applied research projects.