Data Scientist

6 days ago

Washington, Washington, D.C., United States InsideHigherEd Full time
About the Role

We are seeking a highly skilled Data Scientist to join our team at InsideHigherEd. As a Data Scientist - Health Policy Modeling Expert, you will play a key role in developing and implementing predictive models, simulation techniques, and economic analyses to address complex challenges in healthcare policy, spending, and delivery.

Key Responsibilities
  • Design and develop predictive models, simulation tools, and decision support systems to analyze healthcare policy options.
  • Apply mathematical optimization techniques and simulation methods to address emerging issues in healthcare policy and spending.
  • Validate and refine models using real-world data, sensitivity analyses, and validation studies.
  • Leverage econometric modeling techniques to estimate the effects of changes in healthcare delivery and payment systems.
  • Produce scholarly research articles for publication in academic journals.
  • Contribute to grant proposals, research projects, and collaborative initiatives aimed at improving healthcare delivery and outcomes.
  • Communicate research findings and model results effectively to stakeholders, policymakers, business leaders, and the healthcare sector.
  • Mentor and provide guidance to junior team members on modeling techniques, best practices, and research methodologies.
Requirements
  • Master's Degree in Mathematics, Statistics, or Computer Science or related field.
  • Requires 5 or more years of relevant quantitative research and analytics experience.
  • Requires 2 years of complex programming experience.
Preferred Qualifications
  • PHD Degree preferred.
  • Experience developing and deploying predictive and prescriptive models.
  • Practical experience with mathematical optimization problems and simulation and/or performing advanced statistical analysis.
  • Programming experience with at least one high-level modeling system (i.e., R, Python, Julia, Mat lab, SAS).
  • Proficiency in model validation and verification techniques.
  • Familiarity with causal inference, longitudinal data analysis, and regression analysis.
  • Experience generating technical reports and journal articles for peer-reviewed publication.
  • Knowledge of databases, data structures, data processing, and data mining from large enterprise transaction systems.
  • Experience working with healthcare data (including, but not limited to, health insurance claims data).
  • Experience with or knowledge of AI code generators.
  • Familiarity with healthcare economic concepts, including value-based payment.
  • Demonstrated ability to mentor and train junior team members in modeling techniques and best practices.
  • Strong presentation skills and experience communicating complex technical concepts to non-technical stakeholders.
  • Proactive problem-solving skills, with the capacity to identify challenges, propose innovative solutions, and implement them effectively.
  • Demonstrated ability to work independently, exercise discretion, and mature judgment, and manage competing priorities at once.

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