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Senior Research Scientist, Remote

Aledade
United StatesRemotefull_timeVerifiedPosted 21 Feb 2025

About the role

At Aledade, we’re on a mission to revolutionize primary care and transform healthcare delivery at scale. We empower primary care practices and community health centers to succeed in value-based care arrangements through our innovative, technology-enabled workflows and data-driven population health strategies. Join us in making a profound impact on clinicians, patients, and society.
The opportunityWe are building a dynamic team at the intersection of health services research and economics, advanced analytics, and strategic growth. The Senior Research Scientist will be a thought leader and hands-on innovator who guides our growth strategy, crafts new methodologies, and drives actionable insights from complex datasets and analyses. You will play a key role in answering challenging business questions related to: identifying high value opportunities to grow and develop our network, navigating the unique nuances of practice-level versus system-level performance, providing strategic market insights to enhance the impact of outreach and marketing initiatives, and evaluating the effectiveness of tactics to affect company growth levers.
What you’ll doLead cross-functional projects to design, execute, and disseminate rigorous quantitative analyses that inform strategic decisions and operational improvements.Serve as a subject matter expert on study design, causal inference, predictive modeling, simulation, and optimization methodologies.Mentor and guide junior analysts, fostering an environment of continuous learning, innovation, and excellence in data-driven research.Develop and implement repeatable processes with strong version control (e.g., Git), ensuring high-quality, scalable analyses and transparent documentation.
Who you areA researcher with a passion for healthcare transformation and a deep understanding of primary care delivery, market dynamics, and the complexities of ACO performance.An analytical polymath who thrives in fast-paced environments, balancing multiple priorities and delivering actionable insights that shape strategic decisions.A proactive problem-solver experienced in harnessing advanced methodologies—from randomized trials to quasi-experimental designs—to drive innovative approaches to complex challenges.
We are flexible with respect to geographic location, and the ideal candidate will be comfortable working remotely/work from home within the US.

Primary Duties:

  • Identify analysis priorities:
  • Lead efforts with teams across Aledade and external partners to proactively identify and clarify important strategic and tactical questions for data analysis and experiments.

  • Design and execute analysis projects:
  • Design and lead descriptive, predictive, and/or causal inference statistical analyses for large scale projects and complex program areas.
  • Design and program code to integrate, evaluate, and analyze diverse data sources.
  • Perform data analysis and statistical modeling to generate actionable insights and solutions. 
  • Supervise junior colleagues in programming and model implementation for large scale projects.

  • Translate and communicate analysis results:
  • Form strategic and tactical recommendations for leaders across Aledade teams based on evidence. 
  • Lead efforts across teams to synthesize results from complex analyses, identify implications of analysis results and translate findings into action.
  • Lead and supervise development and presentation of analytic products that accurately communicate insights from the data and inspire action.

Minimum Qualifications:

  • Bachelor’s degree and 10+  years of relevant experience (advanced degree may substitute for some experience)

Preferred Qualifications:

  • Masters or PhD in economics, health services research, statistics, or similar
  • Proven expertise in advanced quantitative analysis, grounded in econometrics, statistics, or related disciplines
  • Advanced data manipulation skills, including proficiency in SQL and statistical programming in R, Python, or Stata
  • Demonstrated mastery of causal inference techniques (e.g., randomized trials, regression discontinuity, difference-in-differences, instrumental variables, matched designs)
  • Deep understanding of healthcare delivery organizations, including experience with organizational data, and insights into market structures such as horizontal and vertical integration
  • Excellent communication skills with the ability to articulate complex findings to leaders and translate insights into actionable recommendations
  • Strong project management skills and a commitment to process excellence, quality assura

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Company

Aledade

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