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Statistician, Healthcare Evaluation & Disability (Remote Eligible)

Role overview

Qualifications

  • PhD-level health statistician
  • Expertise in statistical methodologies
  • Experience in data analysis and visualization
  • Ability to communicate findings effectively

Responsibilities

  • Apply a wide range of statistical and quantitative methods to evaluate and improve social programs and policies
  • Leverage technical expertise in statistical methodologies to address complex research and policy questions
  • Draft reports and present statistical findings to policymakers and stakeholders
  • Oversee the statistical analyses of junior statisticians and support their professional development

Hard skills

Other skills

  • Communication
  • Mentorship
  • Teamwork

About the company

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Mathematica

  • Research & Scientific Services
  • Large
  • 1,001–5,000
As a partner to organizations around the world committed to improving public well-being, Mathematica uses social science, data science, digital solutions, and technology to build knowledge, evidence, and action-ready insights. From climate change mitigation to pandemic response, from improving patient care to closing opportunity gaps, we’re proud to be partners in progress on environmentally conscious, socially responsible, and sustainable solutions to build a more equitable and just world.

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Job description

We are looking for PhD-level health statisticians to join our vibrant group of over 30 statisticians and data scientists. The contributions of our statisticians underpin our ability to produce crucial evidence for policy and decision makers, ultimately furthering our mission to improve public well-being. For example, our statisticians extended state-of-the-art methods for identifying treatment effect heterogeneity to enhance primary care delivery and leveraged Bayesian factorial design to improve the presentation of school choice information to low-income parents.  

Position Responsibilities:

  • Statistical Analysis and Research: Apply a wide range of statistical and quantitative methods to evaluate and improve social programs and policies, by designing rigorous studies, coding data analyses, visualizing results, and interpreting findings.
  • Methodological Thought Leadership: Leverage technical expertise in statistical methodologies to identify and apply innovative, state-of-the-art approaches that address complex research and policy questions.
  • Communication: Draft reports and present statistical findings and insights to policymakers, colleagues, and other stakeholders.
  • Mentorship: Oversee the statistical analyses of junior statisticians, provide technical guidance, and support their professional development.
  • Business Development: Contribute to proposals for new research projects, particularly by developing and writing quantitative methods sections.
  • Teamwork: Collaborate actively and thoughtfully with multidisciplinary teams to support research and project objectives.

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