Data Scientist, Garner Health

• 1 year of professional experience in a fast-paced work environment
• A demonstrated ability to independently solve difficult problems and deliver high quality results to senior stakeholders
• A desire to write sophisticated code in Python and SQL for production systems. Bonus for experience with data architecture
• Strong conceptual thinking: the ability to understand complex systems and think in frameworks
• A desire to work in a rapidly evolving startup environment
• A desire to be a part of our mission to improve the healthcare system

• We’re looking for a Data Science Researcher to join our team. This individual will help us improve our proprietary algorithms that rank individual doctor quality
• These algorithms are a key component of the company’s product that significantly decreases healthcare costs while improving clinical outcomes. We’re looking for someone with a strong track record in building and deploying complex analytics
• Perform proof-of-concept research and discovery on healthcare economics and physician quality of care
• Develop algorithms and predictive models that measure physician cost and quality of care
• Architect and deploy high-quality code alongside data engineers and backend engineers that will process claims data to derive scores for individual doctors
• Collaborate with Healthcare Economists, Clinical Researchers, and Engineers of all disciplines to continuously improve our ranking and directory ecosystems

Total funding: $61.3m

An overworked US healthcare system has resulted in long waits and expensive prices. Due to rising costs, the health insurance industry often leads to patients not accessing the care that they need. Garner Health creates digital services that allow patients to find a medical expert that fits their specific needs, whatever their insurance circumstances are.