Senior Research Associate - Hybrid/California
$99,986–$109,990 year
Hybrid · San Francisco, California, United States or Los Angeles, California, United States
Job Summary
Senior Research Associate role supporting multifamily affordable housing research and policy analysis. Responsibilities include conducting quantitative and qualitative research, authoring and co-authoring policy briefs and analyses, developing Python-based workflows to automate data collection and QA for large housing, demographic, economic, and geospatial datasets, maintaining public-facing data tools and dashboards, performing quantitative and spatial analyses with Python/SQL/GIS to evaluate housing affordability and policy issues, contributing to new research methods, responding to inquiries from government agencies and partners, presenting at regional conferences, and traveling within California. The role involves staying current with relevant literature and data visualizations, planning segments of research/policy projects under supervision, and performing routine administrative tasks. Qualifications emphasize 4+ years in affordable housing research or related advocacy, a related Bachelor's (or Master's with substitutions), intermediate Python, quantitative and spatial analysis skills, strong writing, Excel proficiency, and willingness to travel within California. The position is hybrid with at least one day per week in the office in California, and requires a Senior-level, non-exempt staff designation.
Required Qualifications
- Bachelor's degree in a directly related field (public policy, political science, sociology) may substitute for up to one year of direct experience
- At least four (4) years of experience in affordable housing research, policymaking, or advocacy work, or substantially equivalent experience
- Master's degree in a directly related field may substitute for up to two years of direct experience
- Intermediate Python (e.g. writing and editing code with little supervision, cleaning data in multiple data files, comparing variables within and between data files)
- Intermediate quantitative data analysis skills (e.g. cost analysis, regression analysis)
- Intermediate spatial analysis skills (ArcGIS or QGIS)
- Strong organizational skills, ability to set priorities and meet deadlines
- Strong writing skills, ability to conduct literature reviews and communicate results
- Intermediate Microsoft Excel (pivot tables, vlookup)
- Able and willing to travel within California
Apply with one swipe on Sorce. We auto-fill applications and apply on your behalf — no cover letters, no 40-minute forms.
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.