Human Services Researcher; Remote Eligible

About Mathematica:

Mathematica applies expertise at the intersection of data, methods, policy, and practice to improve well-being around the world. We collaborate closely with public- and private-sector partners to translate big questions into deep insights that improve programs, refine strategies, and enhance understanding using data science and analytics. Our work yields actionable information to guide decisions in wide-ranging policy areas, from health, education, early childhood, and family support to nutrition, employment, disability, and international development.

Mathematica offers our employees competitive salaries and a comprehensive benefits package, as well as the advantages of being 100 percent employee owned. As an employee stock owner, you will experience financial benefits of ESOP holdings that have increased in tandem with the company's growth and financial strength. You will also be part of an independent, employee-owned firm that is able to define and further our mission, enhance our quality and accountability, and steadily grow our financial strength.

Read more about our benefits here:
Benefits at a Glance.

Currently, we are looking for researchers to join our
vibrant and growing Human Services department. This position supports project
teams within the department and across the company in the planning and
execution of projects for clients such as, the U.S. Department of Health and
Human Services, state and local agencies, and Foundations and nonprofits.
Mathematica is seeking researchers who are excited to solve complex policy and
programmatic challenges in ways that are evidence- and data-driven, and who can
agilely adapt to an evolving policy and technology landscape. The role includes
providing technical assistance focused on evaluation and program improvement to
organizations serving families, youth, and adults; designing and carrying out
research and evaluation, advising on strategy and policy, and linking and using
data to answer complex policy-relevant questions. This role is primarily
focused on programs designed to improve child welfare related outcomes for
children and families. We will consider candidates with substantive expertise
in a range of human services programs and policies, including child welfare,
TANF, employment, early childhood, family strengthening, economic mobility, and
related topics.

The type of work we do includes activities such as:

• Providing
  evaluation technical assistance to help grantees maintain high-quality
  impact and descriptive study designs and develop clear, and specific
  performance measures.
• Improving
  child welfare outcomes for children and families, with an emphasis on
  strategies to increase permanency and enhance the safety of children who
  are at risk of out-of-home placements.
• Using
  predictive analytics to improve outcomes for children and families.
• Conducting
  systematic reviews to determine the effectiveness of interventions,
  programs, and policies, and practices across a range of populations and
  policy areas.
• Building
  evidence around effective strategies for helping individuals with low
  incomes find and sustain employment.
• Evaluating
  and providing technical assistance to states implementing TANF Pilots.
• Evaluating
  and supporting competency-based professional development approaches for
  the infant and toddler workforce.
• Enhancing
  and supporting the data analytic capacity of state child welfare and
  Medicaid agencies to improve the delivery of services.
• Designing
  and implementing a nationally representative study of supports for family
  stability in Head Start.
• Advising
  workforce development programs and state TANF agencies on evidence-based
  ways to increase program engagement and learn, innovate, and improve.
• Evaluating
  programs that provide coaching for populations with barriers to
  employment.

• Providing
  technical assistance to programs serving youth and families to build
  evaluation capacity, use data, support continuous quality improvement, or
  engage in rapid cycle evaluation.
• Learning
  and applying new methods, tools, and technologies, including AI-enabled
  tools, data visualization platforms, and emerging analytic approaches.
• Designing
  rigorous mixed-methods evaluations, including primary and secondary data
  collection.
• Assessing
  the strength of study designs and summarizing large and diverse sets of
  existing research through systematic evidence reviews and meta-analyses.
• Applying
  innovative research approaches and advanced statistical methods to answer
  policy-relevant…