We are seeking a mid-level Statistician to support data analytics initiatives across both clinical and operational domains. This role involves applying statistical methods to healthcare quality, safety, and performance data, enabling data-driven decision-making and continuous improvement. The ideal candidate will have strong analytical skills, healthcare experience, and proficiency in Python.

• Perform statistical analyses on both clinical and operational datasets to identify trends, patterns, and performance insights.
• Develop and validate statistical models to support healthcare quality measurement, risk adjustment, and operational efficiency.
• Collaborate with cross-functional teams—including clinical, research, and administrative staff—to define analytical goals and interpret results.
• Create dashboards, reports, and visualizations using Python, Power BI, and other tools to communicate findings effectively.
• Ensure data integrity and compliance with healthcare regulations (e.g., HIPAA).
• Contribute to the development of data collection strategies and analytics frameworks for both patient care and operational workflows.
• Support data governance initiatives by promoting data quality, consistency, and compliance across clinical and operational datasets.

• Bachelors or Master’s degree in Statistics, Biostatistics, or a related field.
• 5–7 years of experience in statistical analysis within the healthcare industry.
• Proficiency in Python is required, including libraries such as pandas, NumPy, and statsmodels.
• Experience working with healthcare data (e.g., EHRs, claims) and operational data (e.g., staffing, throughput, resource utilization).
• Familiarity with SQL and data visualization tools (e.g., Power BI, Excel).
• Strong communication skills with the ability to present complex data to both technical and non-technical audiences.
• Ability to manage multiple projects and collaborate effectively in interdisciplinary teams.