Healthcare quality is declining and soaring costs are crushing American families and businesses. Garner is reshaping the healthcare economy to ensure everyone can afford high quality care by evaluating doctor performance and providing organizations relief from surging healthcare costs.
Requirements
- Proficiency in statistics, hypothesis testing, and exploratory data analysis.
- Experience with Python or SQL, including use of common data science libraries (e.g. Pandas, NumPy, scikit-learn, and visualization tools such as Matplotlib or Plotly), is highly desirable.
- Demonstrated ability to produce high-quality analytical work through internships, academic research, or personal projects.
Responsibilities
- Build and maintain data-driven algorithms to improve provider recommendations and the member search experience.
- Design data pipelines that model and enrich healthcare provider data.
- Collaborate across product, engineering, and operations teams to solve open-ended business problems with data-driven solutions.
Other
- This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
- Less than 1 year of professional experience in data science, analytics, finance, consulting, or product roles.
- Strong technical writing, analytical, and communication skills.
- Bachelor’s degree in Computer Science, Mathematics, Statistics, Economics, or a related STEM field.
