Project Scientist, Homelessness and Health Policy

David Geffen School of Medicine at UCLA

Los Angeles (CA)

Hybrid

USD 90,000 - 140,000

Full time

14 days+
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Job summary

The California Policy Lab at UCLA seeks a mid- to advanced-career Researcher (Project Scientist) to design and conduct policy-relevant research with state and local agencies in California. You will work with policymakers and people with lived homelessness experience, leveraging linked administrative data to inform solutions.

The role requires expertise in homelessness and health policy, causal inference, and management of research projects, data handling, and mentoring junior staff.

Qualifications

  • Ph.D. required or equivalent experience.
  • Knowledge of homelessness or health policy.
  • Experience with econometric methods for causal inference.

Responsibilities

  • Conduct quantitative research and design analysis plans.
  • Publish multiple reports and policy briefs annually.
  • Implement diverse research designs including RCTs and quasi-experiments.
  • Lead research teams and manage projects from start to finish.
  • Supervise staff and provide professional development.
  • Collaborate with state/local agencies to align a joint research agenda.

Skills

Econometrics
Stata
R
Python
SAS
SQL
Data analysis
Public policy

Education

Ph.D. in economics, public policy, statistics, or related social science

Tools

SQL databases

Job description

About the California Policy Lab

About the California Policy Lab
The California Policy Lab generates research insights for government impact. Through hands-on partnerships with government agencies, CPL performs rigorous research across issue silos and builds the data infrastructure necessary to improve programs and policies that millions of Californians rely on every day. We work on California’s most urgent issues, including homelessness, unemployment, poverty, criminal justice reform, and education inequality. We facilitate close working partnerships between policymakers and researchers at the University of California to help evaluate and improve public programs through rigorous empirical research and technical assistance.
CPL recognizes the value of having a diverse staff at all levels of the organization. We are looking for equity-minded applicants who represent and understand the diverse racial and ethnic, gender identity, sexual orientation, educational, socioeconomic, cultural, and disability backgrounds present in California. When you join our team, you can expect to be part of an inclusive and equity-focused community.

The Position

The Position
This is an exciting role for a mid- or advanced-career Researcher (UCLA title “Project Scientist”) who wants to design and conduct policy-relevant research in partnership with state and local agencies in California. Our team works closely with policymakers and people with lived experience of homelessness to develop our research agenda, and we leverage linked administrative data to help inform solutions to homelessness.
The ideal candidate has expertise in homelessness and health policy and data, with experience working with administrative health billing data and causal inference methodology. The Project Scientist conducts quantitative research, including conceptualizing research questions and designs; overseeing the requesting, receiving, and cleaning of data files; creating and overseeing the implementation of analysis plans; conducting quality assurance reviews; disseminating findings to policy and academic audiences; and generating replicability documentation. The Project Scientist can implement and defend multiple causal research designs, including randomized control trials, quasi-experimental designs, and non-experimental designs. The Researcher will also design, supervise, and implement descriptive analyses and other observational statistical analyses. The Project Scientist will write grant proposals to support research tasks and contribute to grant reporting.
The Project Scientist will also supervise junior staff. A successful candidate has demonstrated experience managing research projects, supervising research teams, assigning tasks, mentoring junior staff, and supporting the professional development of team members.
The position will report to the Faculty Director and will work directly with leading social policy researchers at UC and beyond, state and local government agency staff, and CPL’s leadership team. This position could be fulfilled either remotely or in a hybrid manner, with some in-person meetings.

Principal Responsibilities
  • Conduct quantitative research, including conceptualizing research questions and design; creating and implementing analysis plans; requesting, receiving, and cleaning data files; conducting quality assurance reviews; summarizing results for both academic and policy audiences; and generating replicability documentation.
  • Annually publish multiple reports and policy briefs based on research.
  • Implement multiple research designs and analysis techniques, including but not limited to randomized control trials, quasi-experimental designs, and non-experimental designs, including descriptive and correlational analyses.
  • Lead research teams, write proposals to support research projects, and ensure timely and high-quality completion of research tasks.
  • Supervise research staff, including making decisions regarding hiring and promotions, providing professional development, assigning tasks, assessing progress, and other related tasks.
  • Partner effectively with state and local agency staff to build a joint research agenda.
Basic Qualifications
  • Ph.D. in economics, public policy, statistics, or related social science field, or equivalent experience.
  • Knowledge of research or public policy in homelessness or health.
  • Knowledge of econometric research methods for causal inference, especially quasi-experimental design.
  • Extensive experience in computer programming for statistical analysis, including fluency in data-analysis packages from at least one commonly used programming language like Stata, R, Python, SAS, or SQL.
  • Experience working with large and complex datasets, especially Medicaid or other health billing data, including how to optimize analysis for efficiency.
  • Experience writing research results for both technical and non-technical audiences.
  • Strong interpersonal and communication skills and ability to work both independently and as a team member.
  • Knowledge of data management systems, practices, and standards.
  • Strong organizational skills and attention to detail.
  • Ability to multi-task with demanding timeframes.
  • Ability to work both independently and as a team member.
  • Ability to work discreetly with sensitive and confidential data.
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