Data Research Analyst
We are currently seeking capable data storytellers, analyzers, and visualizers to serve as 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 data and analysis teams and combines knowledge of research methods and data analysis skills. We encourage those with experience in common data visualization, programming languages, and/or statistical analysis tools 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.
We are particularly interested in Data Research Analysts who could support one of the following lines of research:
- Cyber/AI: Research areas include topics at the intersection of cyber defense and AI and the failure modes of ML, such as (but not limited to) analyzing how AI and ML techniques can improve cybersecurity; assessing the distribution and use of ML applications in cybersecurity; assessing how AI could alter future cyber operations or create new threats; or examining the potential failure modes of ML techniques. Ideal candidates have exposure to computer science, cybersecurity, or AI.
- Biotechnology: Research may include examinations of the bioeconomy and global biosecurity. Projects span areas such as the biotechnology supply chain, infrastructure and funding, dual use research, safety regulations, international policies, and genomic data and editing. Ideal candidates include those with experience in biology, chemistry or laboratory work and/or exposure to genomics, bioinformatics, or related fields.
- Workforce: Research on comparing the AI workforce in the U.S. and China, evaluating AI talent pipelines, executing an analogous analysis of the U.S. cybersecurity workforce, mapping industry and geographic migration trends, exploring non-traditional educational pathways in AI workforce preparedness, and conducting a K-through-PhD assessment of the U.S. educational pipeline producing AI, cybersecurity, and (more generally) STEM talent to understand where potential talent is being lost throughout that pipeline and what could be done to remedy those losses and increase the production of AI, cybersecurity, and STEM talent at all levels.
Responsibilities:
Data Research Analysts will report to a Senior Fellow/LOR Lead and will be 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;
- Supporting research through data-focused tasks, including but not limited to identifying and evaluating data sources, preparing datasets for analysis, applying appropriate methods to extract information from datasets, and conducting data/code reviews;
- Developing data visualizations for use in presentations, reports, and interactive web visualizations;
- Collaborating with CSET’s Data Science team to identify data requirements, determine appropriate methods, foster cross-team communication, and effectively leverage CSET data resources;
- Writing and contributing to CSET publications;
- Communicating, in written and verbal formats, CSET’s data resources and data-driven findings to a range of audiences, including contributing to DC briefings and events;
- Monitoring trends and 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:
- Bachelor’s degree;
- 3-5 years’ relevant work experience, including
- 2+ years of quantitative or statistical analysis experience from coursework or professional work and
- 1+ years of experience with with SQL and Python and data visualization tools and/or packages from coursework or professional work;
- Ability to process and analyze data sets, interpret them to derive conclusions, and present findings for a broad audience;
- Ability to work successfully in a highly collaborative team environment;
- Effective communication skills, both oral and written, demonstrated through the development of publications and delivery of presentations;
- Motivated, enthusiastic and self-driven.
This position is based in the United States and offers no relocation assistance. This position is not eligible for a specialty-occupation sponsorship and, accordingly, this position requires that all applicants be legally eligible to work in the United States without sponsorship from Georgetown University.
This is a full-time, paid position. CSET Data Research Analysts generally earn between $75,000-$90,000 annually, commensurate with experience, and have access to Georgetown’s generous benefits package.
This position is designated as hybrid, which means candidates will be expected to work from CSET’s D.C. office at least 2-3 days per week.
Application Instructions:
Please note that we only consider complete applications, which include:
- Resume/CV
- Cover Letter that addresses the following questions:
- Why are you interested in CSET and this role, specifically?
- What line of research (Cyber, Bio or Workforce) are you best positioned to support, and why?
- Writing Sample: Ideally, this would be policy-oriented research and sole-authored, but any self-selected writing sample of at least two pages (e.g., class paper, prior project work, etc.) is acceptable.
- Coding sample: This can be provided as a link to GitHub or other public example of recent code (embedded in resume or cover letter).