Generative AI Research and Evaluation Fellow (Grant Funded)

Responsibilities

• Support survey design, operations, and data management.
• Write and maintain SQL queries; clean, validate, document, and join data from multiple sources using R for adoption tracking and evaluation.
• Produce analytic outputs for internal decision-making, including tables, charts, summary metrics, and appendix-style materials.
• Support evaluation methodology and internal communications by drafting memos, documentation, and participating in regular check-ins and working sessions.
• Support training sessions for City employees and assist in developing related training materials.

Requirements

• A bachelor's degree in economics, political science, public policy, urban planning, or a related field is preferred.
• Experience writing SQL for analysis.
• Experience cleaning and analyzing real-world datasets using R.
• Familiarity with survey-based data and basic survey operations (SurveyCTO is preferred).
• Understanding of evaluation or applied research methods, with interest in experimental or quasi-experimental work.
• Strong writing skills and the ability to communicate clearly with technical and non-technical audiences.
• Interest in public service and using data to improve City operations and resident outcomes.

Qualifications

Boston Residency Required.

Professional Development and Supervision

The Fellow will receive close supervision from the Director of Research and Evaluation, including regular check-ins, feedback on analytic work products, and guidance on research documentation and internal writing. Work closely with staff across multiple City departments, gaining exposure to cross-departmental collaboration and applied policy work. The role provides exposure to applied evaluation work in government, including survey operations, rollout measurement, and communicating results to decision-makers.