Quantitative Policy Researcher, Human Services

Mathematica, Inc.; Princeton (NJ); Remote; USD 100,000 - 135,000; Full time

Job summary

Mathematica is hiring researchers for the Human Services department to conduct quantitative studies and program evaluations on topics like TANF, employment, child welfare, and early childhood. The role emphasizes rigorous data-driven methods, collaboration with project teams, and translating findings for policymakers.

Ideal candidates will have Ph.D. or Master’s with causal-inference training, proficiency in R/Python/STATA, and experience with large administrative data settings.

Qualifications

• PhD or Masters with causal inference coursework and applied experience.
• Strong quantitative analysis, with training in causal methods preferred.
• Experience with large federal/admin data is desirable.

Responsibilities

• Collaborate with senior staff to apply rigorous quantitative research methods and causal inference.
• Learn and apply new techniques including AI and emerging analytics tools.
• Design rigorous mixed-methods evaluations with primary and secondary data collection.
• Apply innovative approaches to policy questions and link administrative data.
• Develop proposals for new research projects and guide policy decisions.

Skills

Quantitative analysis

Causal inference

R/Python/STATA

Communication skills

AI knowledge

Federal policy familiarity

Large administrative datasets

Education

PhD or Masters in related field

Job description

Mathematica is hiring researchers for the Human Services department to conduct quantitative studies and program evaluations on topics like TANF, employment, child welfare, and early childhood. The role emphasizes rigorous data-driven methods, collaboration with project teams, and translating findings for policymakers.

Ideal candidates will have Ph.D. or Master’s with causal-inference training, proficiency in R/Python/STATA, and experience with large administrative data settings.