Data Research Analyst, Center for Security and Emerging Technology - Walsh School of Foreign Service - Georgetown University

Georgetown University comprises two unique campuses in the nation’s capital. With the Hilltop Campus located in the heart of the historic Georgetown neighborhood, and the Capitol Campus, just minutes from the U.S. Capitol and U.S. Supreme Court, Georgetown University offers rigorous academic programs, a global perspective, and unparalleled opportunities to engage with Washington, D.C. Our community is a close-knit group of remarkable individuals driven by intellectual inquiry, a commitment to social justice, and a shared dedication to making a difference in the world.

Requirements

Data Research Analyst, Center for Security and Emerging Technology - Walsh School of Foreign Service - Georgetown University

The Center for Security and Emerging Technology (CSET), under the Walsh School of Foreign Service (SFS), is seeking capable data storytellers, analyzers, and visualizers to be Data Research Analysts. 

Data Research Analysts are part of CSET’s data team, working with specific lines of research to produce data-driven research products and policy analysis alongside CSET’s analysis teams. This dynamic role serves as a bridge between the data and analysis teams. It draws on knowledge of research methods, subject-area expertise, and analytic skills. We encourage those with experience in data visualization, programming, and/or statistical analysis to apply.

We are a cross-matrixed research organization focused on studying the security impacts of emerging technologies, supporting academic work in security and technology studies, and delivering nonpartisan analysis to technologists and policymakers. CSET’s research currently focuses on artificial intelligence, advanced computing, and biotechnology.  

Important Note: Please visit CSET’s career page for more detailed information on role responsibilities and application instructions. We are particularly interested in Data Research Analysts who can support the following line of research:

• Applications: How can the U.S. government and its allies make effective use of artificial intelligence/machine learning (AI/ML) and other emerging technologies? Our research in this area examines AI-enabled emerging technologies relevant to national security, opportunities and challenges for adoption and application, and opportunities for alliances in the development and deployment of AI-enabled systems.

The Data Research Analyst reports to the Deputy Director of Data Science and Research, and is responsible for: 

• Collaborating with Research Fellows, Research Analysts, Data Scientists, and Center leadership to develop and execute research proposals and produce data-driven analytic products within CSET’s Lines of Research
• Leading the analytic support for a Line of Research by the Data Science team: managing projects, identifying priorities, fostering cross-team communication, and effectively leveraging CSET data resources
• Supporting research through ownership of quantitative projects, including but not limited to identifying and evaluating data sources, preparing data for analysis, applying appropriate methods to draw inferences from data, and conducting reviews of code and analysis
• Writing and otherwise contributing to CSET research
• Developing data visualizations for use in presentations, reports, and interactive tools
• Communicating, in written and verbal formats, CSET’s research findings to a range of audiences, including contributing to DC briefings and events
• Monitoring developments in AI, ML, biotechnology, and national security policy
• Contributing to CSET’s organizational development, including contributing to internal working groups, seminars, and discussions; and supporting and mentoring colleagues
• Upholding CSET’s mission, values and culture.

Requirements and Qualifications

• Bachelor’s degree
• 3 to 5 years of relevant work experience, including 2+ years of experience with quantitative analysis (from coursework or professional work) and 1+ years of experience with SQL, Python, and data visualization (from coursework or professional work)
• Ability to process and analyze data, interpret it, and present findings for a broad audience
• Effective communication skills, both oral and written, demonstrated through presentations, reports, papers, or publications