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Full Time Healthcare Data Science Jobs (NOW HIRING)

We are seeking a hands-on Data Scientist to build and deploy data-driven solutions across healthcare and senior housing operations. This role is responsible for developing, implementing, and ...

About the Role The Data Analyst plays a key role in monitoring, managing, and improving healthcare data file exchanges across clients, vendors, and internal systems. This role sits within a DataOps ...

Data Scientist

Scottsdale, AZ · On-site

$80K - $120K/yr

In this role, you will work with diverse and complex healthcare datasets--EHR, scheduling, billing ... Master's degree in Data Science, CS, Statistics, Biomedical Informatics, or related field preferred ...

The Opportunity As part of the Operations Consulting team, you will apply advanced data science and ... care and improve population health outcomes for our payer clients. As a Manager, you will lead ...

The Opportunity As part of the Operations Consulting team, you will apply advanced data science and ... care and improve population health outcomes for our payer clients. As a Manager, you will lead ...

The Opportunity As part of the Operations Consulting team, you will apply advanced data science and ... care and improve population health outcomes for our payer clients. As a Manager, you will lead ...

The Opportunity As part of the Operations Consulting team, you will apply advanced data science and ... care and improve population health outcomes for our payer clients. As a Manager, you will lead ...

The Opportunity As part of the Operations Consulting team, you will apply advanced data science and ... care and improve population health outcomes for our payer clients. As a Manager, you will lead ...

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Full Time Healthcare Data Science information

What is the difference between Full Time Healthcare Data Science vs Healthcare Data Analyst?

AspectFull Time Healthcare Data ScienceHealthcare Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often certifications in data analysis or machine learningDegree in Health Informatics, Data Analysis, or related field; certifications in data tools or healthcare analytics
Work EnvironmentHealthcare organizations, research institutions, or tech companies; focus on advanced analytics and modelingHospitals, clinics, insurance companies; focus on data reporting and basic analysis
Employer & Industry UsageUsed in healthcare research, predictive modeling, and machine learning applicationsUsed for reporting, data management, and operational insights in healthcare settings

Full Time Healthcare Data Science involves advanced analytics, machine learning, and predictive modeling, requiring specialized skills and certifications. Healthcare Data Analysts focus on data reporting, basic analysis, and operational insights. Both roles are vital in healthcare but differ in complexity, tools, and responsibilities.

What cities are hiring for Full Time Healthcare Data Science jobs? Cities with the most Full Time Healthcare Data Science job openings:
What are the most commonly searched types of Healthcare Data Science jobs? The most popular types of Healthcare Data Science jobs are:
What states have the most Full Time Healthcare Data Science jobs? States with the most job openings for Full Time Healthcare Data Science jobs include:

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago


Job description

Vitality Living is a dynamic, hospitality-based senior housing owner and operator dedicated to delivering world-class service. We cultivate a culture that rewards initiative, values collaboration, and empowers team members to exceed expectations. Our success is rooted in hiring exceptional individuals who share our commitment to purpose-driven service, operational excellence, and continuous improvement.
We are seeking a hands-on Data Scientist to build and deploy data-driven solutions across healthcare and senior housing operations. This role is responsible for developing, implementing, and maintaining statistical models, machine learning, and applied AI solutions to improve resident outcomes, optimize staffing and occupancy, enhance quality metrics, and support regulatory compliance. The ideal candidate combines deep technical expertise with healthcare domain knowledge and thrives in a build-and-execute environment.
Hybrid Work Schedule: 2 days remote and 3 days in-office at our Support Office in Brentwood, TN.
Responsibilities:
  • Analyze and validate clinical, operational, and financial data using advanced analytics and modeling techniques
  • Design, build, deploy, and maintain predictive and prescriptive models related to:
    • Patient/resident outcomes (e.g., falls, readmissions, length of stay)
    • Occupancy, census forecasting, and acuity trends
    • Staffing optimization and labor cost management
    • Quality measures and performance benchmarks
  • Apply statistical methods, machine learning, and AI techniques to develop production-ready solutions
  • Work within enterprise data warehouse environments to source, transform, and structure data for analytical and modeling purposes
  • Write production-quality code in Python or R for data pipelines, feature engineering, and model development
  • Partner with IT and data engineering teams to ensure scalable and reliable data pipelines and model deployment
  • Integrate and analyze data from multiple systems, including care management, CRM, procurement, and operational platforms
  • Build dashboards and reporting tools to support operational and clinical decision-making
  • Translate analytical outputs into clear, actionable recommendations
  • Ensure data integrity, privacy, and compliance with healthcare regulations (e.g., HIPAA)
  • Collaborate with clinicians, administrators, IT, and business teams to implement solutions
  • Mentor junior analysts or data scientists as needed

Required Qualifications:
  • Bachelor's degree in Data Science, Computer Science, Statistics, Biostatistics, or a related quantitative field
  • 5+ years of hands-on experience in data science, including building and deploying models in production environments
  • Strong proficiency in Python or R for data analysis, model development, and production code
  • Advanced SQL skills and experience working with enterprise data warehouses and large-scale datasets, including data extraction, transformation, and performance-aware querying
  • Solid foundation in statistics, machine learning, applied AI, and predictive modeling
  • Experience working with sensitive or regulated healthcare data

Preferred Qualifications:
  • Master's degree in a quantitative or healthcare-related field
  • Experience in healthcare, senior housing, assisted living, or skilled nursing environments
  • Familiarity with healthcare data systems and standards (EHR/EMR, claims data, MDS, CMS quality metrics)
  • Experience with cloud platforms (AWS, Azure, or GCP)
  • Experience with data visualization tools (Tableau, Power BI, Looker)
  • Understanding of healthcare quality measures, regulatory reporting, and reimbursement models

Key Skills & Competencies:
  • Strong healthcare or senior living domain knowledge
  • Advanced analytical and problem-solving capabilities
  • Excellent communication and stakeholder management skills
  • Ability to work effectively in cross-functional environments
  • High attention to data accuracy, privacy, and ethical standards

Impact of the Role:
  • Improve quality of care and resident outcomes
  • Support regulatory compliance and reporting accuracy
  • Optimize staffing, occupancy, and cost efficiency
  • Enable leadership to make informed, data-driven decisions

Our Benefits Include:
  • Medical, Dental, and Vision Insurance
  • Generous PTO Plan
  • Company Profit Sharing Bonus
  • 401K

If you want to make an impact and join a growing organization, apply today to start the conversation!
Vitality Living is an equal opportunity employer where you can Be You, Be Vibrant, and Belong.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.