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Data Scientist/Quality & Patient Safety System Director

Job ID:

37478

Job Category:

Quality, Compliance & Safety

Work Type:

Full Time

Work Schedule:

Days

Department:

Quality Improvement

Facility:

BMHCC System Services

Location:

Memphis, TN

Overview

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 positionbines deep analytical expertise with healthcare domain knowledge to predict performance in quality

rating methodologies, identify improvement opportunities, and translateplex data into actionable insights for

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

plex healthcare data sets, develop predictive models for quality oues, and effectivelymunicate findings

to driveanizational change. This role requires someone who not only understands the data but can craftpelling

narratives that makeplex analytics accessible and actionable for diverse stakeholders across theanization.

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 BMHCC's

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 largeplex 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 methodologies. Proficiency with one data analysis platform Experience 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 methodologies. Basic understanding Comprehensive knowledge

Data Storytelling:

Ability tomunicateplex data insights to diverse audiences in a clear,pelling, and actionable manner. Experience developing executive-level presentations and strategic rmendations based on data analysis. Demonstrated ability Advanced skills with proven track record

Critical Thinking:

Ability to identify patterns and insights inplex data, approach problems from multiple perspectives, and develop innovative analytical solutions. Demonstrated ability Advanced skills with proven examples

Personal Characteristics:

Curiosity, adaptability to new information and methodologies, tenacity, and resilience when working throughplex analytical challenges. Demonstrated traits Proven track record of ing these traits to driveanizational change

Leadership Skills:

Ability to mentor others, lead cross-functional initiatives, and potentially build and supervise a team of analysts as the program grows. Basic leadership skills Proven 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-years required 8-years desired

Data Analysis Experience:

Experience with descriptive statistical methods and data exploration techniques. Expertise in analyzingplex data sets, identifying patterns and trends, and extracting actionable insights. Demonstrated ability to integrate multiple data sources and developprehensive analytics solutions thatbine clinical and financial data elements. 7-years required 8-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 years required 5 years desired

Data Visualization Experience:

Experience creating dashboards and visualization tools that clearlymunicate quality performance metrics to various stakeholders. 3 years required 4 years desired

Data Modeling Experience:

Experience developing and implementing predictive analytics models, statistical analyses, and forecasting methodologies to anticipate performance oues with sufficient lead time for intervention. Demonstrated ability to translateplex healthcare quality methodologies into practical analytical frameworks that can guideanizational decision-making and improvement strategies. 3 years required 4 years desired

Leadership Experience:

Experience mentoring other analysts and leading improvement initiatives. Experience building and supervising analytics teams preferred. 2 years required 3 years desired

Education

Degree in data science, analytics, statistics, public health, business analytics, engineering or related field demonstrating strong analytical foundation and quantitative skills. Master's degree PhD/Doctorate preferred

Certifications in healthcare analytics, quality improvement, or Epic systems demonstrating specialized knowledge in healthcare data analysis. None Epic's 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 structures. Basic Understanding Advanced Training

Statistical Methods:

Training in statistical analysis, predictive analytics, modeling, and performance evaluation methodologies. Intermediate Level Advanced Level

Process Improvement:

Training in data-driven improvement processes and methodologies to evaluate the effectiveness of quality improvement initiatives. Basic Understanding Formal Certification (Lean, Six Sigma, etc.)