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Full Time Healthcare Data Science Jobs (NOW HIRING)

Elara Caring

Healthcare Data Architect

Dallas, TX · On-site

$63 - $81/hr

Tuition reimbursement for full-time staff and continuing education opportunities for all employees ... Bachelor's or Master's degree in Computer Science, Health Informatics, Information Systems, or ...

Elara Caring

Healthcare Data Architect

Dallas, TX

$63 - $81/hr

Tuition reimbursement for full-time staffand continuing education opportunities for all employees ... Bachelor's or Master's degree in Computer Science, Health Informatics, Information Systems, or ...

Apex Informatics

Data Scientist

Stay current on the latest advancements in healthcare data science and machine learning. Qualifications: Minimum 5 years of experience in data science or a related field. Less ok too, if they have a ...

West Virginia University Health System

$60K - $61K/yr

Stay current with advancements in data science, statistical methods, and analytical tools relevant to healthcare operations. 12. Must pass Electronic medical record system Proficiency or ...

Blue Ridge Care

Healthcare Data Analyst

Winchester, VA · On-site +1

Healthcare Data Analyst - Join the Blue Ridge Care Team! Blue Ridge Care works to optimize the quality of life and well-being for those members of our community affected by aging or dealing with ...

Astiva Health

Healthcare Data Analyst

Orange, CA · On-site

$85K - $115K/yr

Bachelor's degree in Data Analytics, Health Informatics, Statistics, Computer Science, or related field. * 2-5+ years of healthcare data analytics experience. * Knowledge of Medicare Advantage ...

Apex Informatics

Data Scientist

5+ SAS & SQL programming, 3+ years data science in healthcare SAS EG, SAS Studio, SQL Developer, Office 365 Microsoft Visio, Tableau, Power BI, JIRA, Epic Systems including Clarity database, Healt ...

Confluence Health

HEALTHCARE DATA ANALYST

Wenatchee, WA · Hybrid

$30.21 - $48.21/hr

The Healthcare Data Analyst I designs and executes the analytics for a variety of project types. Coordinating with internal and external stakeholders, the Healthcare Data Analyst promotes using data ...

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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 Healthcare Data Science jobs near you
Healthcare Data Architect

Healthcare Data Architect

Elara Caring

Dallas, TX • On-site

$63 - $81/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago

Elara Caring rating

5.6

Company rating: 5.6 out of 10

Based on 121 frontline employees who took The Breakroom Quiz

153rd of 228 rated social care providers

Job description

At Elara Caring, we have a unique opportunity to play a huge role in the growth of an entire home care industry. Here, each employee has the chance to make a real difference by carrying out our mission every day. Join our elite team of healthcare professionals, providing the Right Care, at the Right Time, in the Right Place.
Job Description:
At Elara Caring, we care where you are and believe the best place for your care is where you live. We know there's no place like home, and that's why our teams continue to provide high-quality care to more than 60,000 patients each day in their preferred home setting. Wherever our patients call home and wherever they are on their journey of health, we care. Each team member has a part to play in this mission. This means you have countless ways to make a difference as a Healthcare Data Architect. Being a part of something this great starts by carrying out our mission every day through your true calling: developing an amazing team of compassionate and dedicated healthcare providers.
To continue to be an industry pioneer in delivering unparalleled care, we need a Healthcare Data Architect with commitment and compassion. Are you one of them? If so, apply today!
Why Join the Elara Caring mission?
  • Work in a collaborative environment.
  • Be rewarded with a unique opportunity to make a difference
  • Competitive compensation package
  • Tuition reimbursement for full-time staff and continuing education opportunities for all employees at no cost
  • Opportunities for advancement
  • Comprehensive insurance plans for medical, dental, and vision benefits
  • 401(K) with employer match
  • Paid time off, paid holidays, family, and pet bereavement
  • Pet insurance

As a Healthcare Data Architect you'll contribute to our success in the following ways:
  • Own and drive the enterprise data strategy, ensuring alignment with organizational, digital, and AI transformation priorities
  • Define and lead the enterprise data architecture strategy to support scalable, secure, and high-performing data ecosystems
  • Establish, implement, and enforce enterprise data architecture standards, governance frameworks, and best practices.
  • Partner with executive leadership to influence, prioritize, and deliver enterprise data and analytics initiatives
  • Lead cross-functional collaboration between business, clinical, operational, and technology teams to ensure alignment on data priorities
  • Oversee the evaluation, selection, and optimization of enterprise data platforms, tools, and technologies
  • Drive enterprise data governance, data quality, metadata management, and stewardship programs across the organization
  • Design and support of modern data platforms that enable AI/ML pipelines, including feature engineering and advanced analytics workflows
  • Knowledge of AI/ML frameworks and healthcare AI use cases, including how data architecture supports model development and deployment
  • Proficiency with real-time streaming technologies such as Apache Kafka
  • Understanding of Lakehouse architectures and cloud data platforms such as Snowflake
  • Knowledge of cloud-based data ecosystems that enable scalable analytics and system integration
  • Ability to design data models and curated datasets that support self-service analytics and data science teams
  • Knowledge of healthcare analytics, including population health and value-based care concepts
  • Understanding of clinical terminologies and standards such as ICD-10, SNOMED, and LOINC
  • Knowledge of interoperability standards such as HL7 and FHIR for integrating healthcare data across systems
  • Familiarity with EMR/EHR platforms such as Epic and Cerner
  • Proficiency with business intelligence and analytics tools such as Microsoft Power BI and Tableau
  • Familiarity with IT service management and workflow platforms such as ServiceNow
  • Ability to design scalable, high-performance reporting and dashboarding solutions across clinical and operational domains
  • Understanding of data integration across clinical, operational, and enterprise systems within secure and governed environments
  • Strong knowledge of data quality, governance, and regulatory compliance in healthcare settings
  • Ability to develop and maintain consistent, trusted datasets that enable faster time-to-insight and support AI innovation

What is Required?
  • Bachelor's or Master's degree in Computer Science, Health Informatics, Information Systems, or related field
  • 10-15 years in data engineering, data architecture, or enterprise data management
  • 10+ years minimum in healthcare or health IT environments
  • 3-5 years in a Data Architect or Lead Architecture role
  • Strong experience in healthcare data environments, including EMR/EHR systems and Epic and Cerner
  • Proven experience enabling analytics and AI use cases through well-designed data architecture
  • Expertise in data modeling (dimensional, canonical, and semantic models)
  • Experience supporting BI tools such as Microsoft Power BI and Tableau
  • Experience defining and executing enterprise-wide data strategy and governance frameworks
  • Demonstrated ownership of enterprise data strategy, including roadmap development and execution aligned to business and AI priorities
  • Proven ability to influence executive stakeholders and drive cross-functional alignment across business and technology teams
  • Experience partnering with senior leadership to translate business objectives into scalable data architecture and platform solutions
  • Hands-on experience with healthcare interoperability standards (HL7, FHIR, CCD, DICOM)
  • Experience integrating enterprise platforms such as ServiceNow
  • Proficiency with SQL, ETL/ELT tools, and modern cloud data platforms
  • Preferred Certifications:
    • Certified Data Management Professional (CDMP) - DAMA International
    • TOGAF Certification - The Open Group
    • AWS Certified Solutions Architect (Associate or Professional)
    • Microsoft Certified: Azure Data Engineer Associate
    • Google Professional Data Engineer
    • Certified Professional in Healthcare Information and Management Systems (CPHIMS) - HIMSS
    • HL7 Certification - HL7 International
    • Snowflake SnowPro Certification
    • Optional: Power BI or Tableau certifications

Skills:
  • Design and support of modern data platforms that enable AI/ML pipelines, including feature engineering and advanced analytics workflows
  • Knowledge of AI/ML frameworks and healthcare AI use cases, including how data architecture enables model development and deployment
  • Proficiency with real-time streaming data technologies such as Apache Kafka
  • Understanding of Lakehouse architectures and cloud data platforms such as Snowflake
  • Knowledge of cloud-based data ecosystems that support scalable analytics and system integration
  • Ability to design data models and curated datasets that enable self-service analytics and data science consumption
  • Knowledge of healthcare analytics domains, including population health and value-based care initiatives
  • Understanding of clinical terminologies and standards such as ICD-10, SNOMED, and LOINC
  • Knowledge of healthcare interoperability standards including HL7 and FHIR for cross-system data integration
  • Proficiency with business intelligence and analytics tools such as Microsoft Power BI and Tableau
  • Ability to design scalable, high-performance reporting and dashboarding solutions across clinical and operational domains
  • Understanding of data integration across clinical, operational, and enterprise systems within governed and secure environments
  • Strong knowledge of data quality, data governance, and healthcare regulatory compliance requirements
  • Ability to establish and maintain consistent, trusted datasets that enable accelerated time-to-insight and AI innovation

You will report to the Chief Information Officer.
The base salary for this position is $185,000-$230,000 annually based on the company's good faith estimate at the time of posting. Actual pay will be determined based on factors such as education, experience, skills, and internal equity.
Equal Employment Opportunity: We are proud to be an equal opportunity workplace and comply with state and federal affirmative action requirements. Individuals are recruited, hired, assigned and promoted without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, protected veteran status, or any other protected characteristic. If you require assistance due to a disability in the application or recruitment process, please submit a request via email at recruiting@elara.com.
Pay & Benefit Information: Compensation for this role will be determined based on a variety of factors, including qualifications, skills, competencies, and relevant experience. Elara offers a broad range of benefits. Learn more at https://careers.elara.com/us/en/benefits
EVerify: Elara Caring participates in E-Verify after a job offer is accepted and Form I-9 completed.

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About Elara Caring

Sourced by ZipRecruiter

At Elara Caring, we have an unique opportunity to play a huge role in the growth of an entire home care industry. Here, each employee has the chance to make a real difference by carrying out our mission every day. Join our elite team of healthcare professionals, providing the Right Care, at the Right Time, in the Right Place.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Dallas, TX, US

Year founded

1994

Social media

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