Metrics Specialist (Data Scientist III) - Remote
Net Health
- Pittsburgh, PA
- Permanent
- Full-time
A high-growth and profitable company, we help caregivers harness data for human health. We also honor and respect the needs of our Net Health family and staff, which is why we offer a work-from-anywhere environment and unlimited PTO. Our welcoming and collaborative culture paired with progressive benefits makes Net Health the ultimate career home!
As a leading-edge SaaS company in healthcare, we deliver solutions that help patients get better, faster, and live more fulfilling lives. Our software and predictive analytics cover the continuum of care, from hospital-to-home, across various medical specialties. Come join us and start the next chapter of your exciting career while helping others to live better lives.World-Class Benefits That Reflect Our World-Class Culture.Click Here to Learn More!:#WorkFromAnywhere #UnlimitedPTO #ComprehensiveBenefitsPackage #EmployeeResourceGroups #CasualDressCode #PrioritizedEmployeeWellness #DiversityAndInclusion #AVoice #NewHireSupport #CareerDevelopment #EducationalAssistance #EmployeeReferralBonus #ProgressiveParentalLeaveJOB OVERVIEWWe are currently seeking a highly skilled Metrics Specialist to join our dynamic team. This individual will play a key role in analyzing, coding, and interpreting quality measures from various data sources, standardized and non-standardized datasets such as EHR, MDS, OASIS, and claims.As a Metrics Specialist, you will be responsible for extracting, analyzing, and interpreting healthcare quality data from multiple sources to support our Value-Based Purchasing (VBP) state programs. You will participate in measure certification processes, such as the NCQA certification process for HEDIS measures. The ideal candidate will possess a deep understanding of quality metrics, data sources, and analytics techniques to drive actionable insights and improve healthcare outcomes.RESPONSIBILITIES AND DUTIES
- Data Sourcing and Integration:
- Collect, calculate, analyze and integrate data from diverse sources, standardized and non-standardized datasets such as EHR, MDS, OASIS, and claims.
- Ensure data accuracy, completeness, and reliability for quality measurement and analysis.
- Quality Measure Coding:
- Develop and implement algorithms and methodologies to code quality measures across different data sources.
- Collaborate with cross-functional teams to standardize coding practices and ensure consistency in measurement methodologies.
- Quality Measure Analysis and Interpretation:
- Perform advanced statistical analyses to evaluate healthcare quality measures and identify trends, patterns, and variations.
- Interpret findings to inform decision-making processes and quality improvement initiatives.
- NCQA Certification for HEDIS Measures:
- Manage the process of NCQA certification for HEDIS measures, including data collection, submission, and validation.
- Ensure compliance with NCQA standards and requirements for quality measurement and reporting.
- Performance Monitoring and Reporting:
- Develop dashboards, reports, and visualizations to monitor performance against quality measures and benchmarks.
- Communicate insights and recommendations to stakeholders, including executive leadership, regulatory agencies, and healthcare providers.
- Continuous Improvement and Innovation:
- Stay abreast of industry trends, best practices, and regulatory changes related to healthcare quality measurement.
- Identify opportunities for process improvement, automation, and innovation in quality measurement and analytics.
- Bachelor's or Master's degree in Health Informatics, Statistics, Public Health, Epidemiology, or a related field
- 2+ years of relevant experience
- Strong understanding of healthcare quality measures, including NCQA HEDIS measures, measures derived from EHR and other standardized datasets, administrative data, and public health databases.
- Understanding of quality measurement standards, regulations, and accreditation requirements, including NCQA, CMS, and other regulatory bodies. Experience ensuring compliance with quality reporting guidelines and certification criteria.
- Proficiency in data manipulation, analysis, and visualization using tools such as SQL, Python, R, SAS, or similar.
- Experience working with healthcare data sets and familiarity with data integration techniques and methodologies. Experience in analyzing diverse data sets to derive meaningful insights.
- Excellent analytical and problem-solving skills, with a demonstrated ability to derive actionable insights from complex data sets.
- Effective communication skills, with the ability to convey technical concepts to non-technical stakeholders.
- Detail-oriented with a commitment to data accuracy, integrity, and compliance with regulatory requirements.
- Commitment to staying updated on emerging trends, technologies, and best practices in healthcare quality measurement and analytics.
- Certification in Healthcare Quality (e.g., Certified Professional in Healthcare Quality - CPHQ).
- Experience with Value-Based Purchasing (VBP) programs and alternative payment models (APMs).
- Familiarity with healthcare regulatory requirements, including NCQA accreditation standards and CMS quality reporting programs.
- Experience working in a healthcare analytics or quality improvement role within a healthcare organization or consulting firm.
- Spreadsheet Software: Microsoft Excel
- Database Query Language: SQL
- Statistical Software: SAS, R, Python
- Data Visualization Tools: Tableau, Power BI, ggplot2 (in R)
- Programming Languages: Python, R
- Database Management Systems: MySQL, PostgreSQL
- Data Cleaning Tools: OpenRefine, Trifacta
- Version Control Systems: Git
- Web Analytics Tools: Google Analytics
- Machine Learning Frameworks: TensorFlow, scikit-learn
- Business Intelligence Tools: Looker, Mode Analytics