Data ScientistQuality & Patient Safety System Director

Job Summary

The Chief Quality Data Officer serves as a strategic analytics leader for Baptist Memorial Health Care Corporation

focused on improving patient care quality through advanced analytics while optimizing revenue through quality-based

payment programs. This role identifies quality improvement opportunities by analyzing both clinical care delivery and

administrative data to ensure BMHCC receives appropriate recognition for the high-quality care provided to patients.

This position combines deep analytical expertise with healthcare domain knowledge to predict performance in quality

rating methodologies identify improvement opportunities and translate complex data into actionable insights for

leadership and clinical teams. The ideal candidate is a data storyteller who can extract meaningful patterns from

complex healthcare data sets develop predictive models for quality outcomes and effectively communicate findings

to drive organizational change. This role requires someone who not only understands the data but can craft compelling

narratives that make complex analytics accessible and actionable for diverse stakeholders across the organization.

This position will work collaboratively across multiple departments including quality coding CDI finance and IT to

integrate data sources create analytics frameworks and implement data-driven strategies that maximize BMHCCs

performance in public quality rating programs and value-based payment models. The Quality Data Scientist will be

adept at using large data sets to find opportunities for clinical quality optimization testing different courses of action

and developing algorithms to monitor performance serving as a bridge between technical and clinical domains to help

BMHCC capture earned revenue by getting full credit for the quality care already being delivered.

Job Responsibilities

• Quality Performance Improvement Leadership
• Analytics and Modeling
• Data Visualization and Communication
• Collaboration and Team Development
• Process Improvement

Requirements

Technical Skills: Proficiency with data analysis platforms ability to work with large complex datasets experience with programming languages and SQL query development. Experience with healthcare information systems. Demonstrated ability to use programming languages (SAS R Python) to manipulate datasets conduct what-if scenarios and implement predictive models based on quality program with one data analysis platformExperience with SAS R or Python; Advanced SQL skills; Experience with Epic systems

Healthcare Knowledge: Understanding of healthcare quality measures terminology (including DRGs ICD-10 codes HCCs) clinical documentation requirements and public reporting understandingComprehensive knowledge

Data Storytelling: Ability to communicate complex data insights to diverse audiences in a clear compelling and actionable manner. Experience developing executive-level presentations and strategic recommendations based on data abilityAdvanced skills with proven track record

Critical Thinking: Ability to identify patterns and insights in complex data approach problems from multiple perspectives and develop innovative analytical abilityAdvanced skills with proven examples

Personal Characteristics: Curiosity adaptability to new information and methodologies tenacity and resilience when working through complex analytical traitsProven track record of applying these traits to drive organizational change

Leadership Skills: Ability to mentor others lead cross-functional initiatives and potentially build and supervise a team of analysts as the program leadership skillsProven experience building and developing teams

Experience

Healthcare Analytics Experience: Professional experience analyzing healthcare data to identify quality improvement opportunities and revenue optimization strategies. Experience working with quality metrics public reporting programs (CMS Stars Leapfrog Vizient US News) and value-based payment programs (HVBP HRRP HACRP).7-yearsrequired 8-years desired

Data Analysis Experience: Experience with descriptive statistical methods and data exploration techniques. Expertise in analyzing complex data sets identifying patterns and trends and extracting actionable insights. Demonstrated ability to integrate multiple data sources and develop comprehensive analytics solutions that combine clinical and financial data elements.7-years required8-years desired

Collaborative Experience: Experience working collaboratively with multidisciplinary teams including quality CDI coding finance and IT. Experience presenting to and working with healthcare leadership teams on strategic initiatives.4 yearsrequired5 years desired

Data Visualization Experience: Experience creating dashboards and visualization tools that clearly communicate quality performance metrics to various stakeholders.3 years required4 years desired

Data Modeling Experience: Experience developing and implementing predictive analytics models statistical analyses and forecasting methodologies to anticipate performance outcomes with sufficient lead time for intervention. Demonstrated ability to translate complex healthcare quality methodologies into practical analytical frameworks that can guide organizational decision-making and improvement strategies.3 yearsrequired4 years desired

Leadership Experience: Experience mentoring other analysts and leading improvement initiatives. Experience building and supervising analytics teams preferred.2 years required3 years desired

Education

Degree in data science analytics statistics public health business analytics engineering or related field demonstrating strong analytical foundation and quantitative degreePhD/Doctorate preferred
Certifications in healthcare analytics quality improvement or Epic systems demonstrating specialized knowledge in healthcare data Clarity & Cogito Certifications

Training

Healthcare Training: Training in healthcare delivery systems quality measures and methodologies. Understanding of healthcare terminology clinical documentation requirements and quality-based reimbursement UnderstandingAdvanced Training
Statistical Methods: Training in statistical analysis predictive analytics modeling and performance evaluation LevelAdvanced Level
Process Improvement: Training in data-driven improvement processes and methodologies to evaluate the effectiveness of quality improvement UnderstandingFormal Certification (Lean Six Sigma etc.)