About the company
At Huron, weāre redefining what a consulting organization can be. We go beyond advice to deliver results that last. We inherit our clientās challenges as if they were our own. We help them transform for the future. We advocate. We make a difference. And we intelligently, passionately, relentlessly do great workā¦together. Are you the kind of person who stands ready to jump in, roll up your sleeves and transform ideas into action? Then come discover Huron. Whether you have years of experience or come right out of college, we invite you to explore our many opportunities. Find out how you can use your talents and develop your skills to make an impact immediately. Learn about how our culture and values provide you with the kind of environment that invites new ideas and innovation. Come see how we collaborate with each other in a culture of learning, coaching, diversity and inclusion. And hear about our unwavering commitment to make a difference in partnership with our clients, shareholders, communities and colleagues.
Job Summary
In this role, you will:
šLead the rapid development and deployment of healthcare analytics products and decision-support tools. šDesign and manage ETL pipelines, leveraging both traditional (e.g., MySQL) and modern platforms (e.g., Snowflake, Databricks) to transform clinical and operational data into actionable insights. šBuild and deploy interactive applications using R and Python with Shiny, Streamlit, Quarto, and R Markdown (Rmd) šCollaborate directly with healthcare clients, iterating on analytics products based on feedback and measurable outcomes. šImplement and tune statistical and machine learning models to power diagnostics, forecasts, and simulations. šMentor junior developers and help drive best practices across a small, elite team.
Key Responsibilities:
šBuild and deploy production-grade analytics products that support healthcare decision-makers. šTranslate product requirements into technical architecture and fast prototypes. šMaintain and optimize end-to-end data pipelines, ETL processes, and model deployment workflows. šDrive quality, performance, and speed in analytics delivery across multiple clients. šEngage with product leadership and customers to deeply understand problems, present solutions, and adapt based on feedback.
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