Healthcare Data Scientist II: Quality & Performance

San Juan Regional Medical Center; United States; On-site; USD 90,000 - 140,000; Full time

Job summary

San Juan Regional Medical Center in the United States seeks a Data Scientist II to supervise the Quality Team and apply analytical techniques to high-volume, high-dimensional data from diverse sources. This role identifies opportunities for improvement in quality, infection control, finance, and patient safety.

The position translates reimbursement data into actionable information, aligns quality data with the organization’s strategic plan, and supports governance through data governance and

Qualifications

• Must have a degree in business, information technology, statistics, or a healthcare-related field.
• Experience using data to identify organizational progress and opportunities for improvement.
• Strong ability to transform analytic findings into meaningful information.
• Basic understanding of healthcare reimbursement programs (value-based purchasing, MIPS).
• Lean/Six Sigma tools; Black Belt within three years of hire.

Responsibilities

• Supervise the Quality Team and apply analytical techniques to high-volume, high-dimensional data.
• Identify opportunities for improvement in quality, infection control, and patient safety.
• Coordinate data reporting needs for Quality Committees and external benchmarking.
• Develop and present data analyses to governance groups and stakeholders.

Skills

Data analysis

Statistical thinking

Quality improvement

Independent work

Project management

Education

Degree in Business, IT, Statistics, or healthcare field

Tools

Lean/Six Sigma

Cerner

Report writing

Job description

San Juan Regional Medical Center in the United States seeks a Data Scientist II to supervise the Quality Team and apply analytical techniques to high-volume, high-dimensional data from diverse sources. This role identifies opportunities for improvement in quality, infection control, finance, and patient safety.

The position translates reimbursement data into actionable information, aligns quality data with the organization’s strategic plan, and supports governance through data governance and