Qualifiedhealthai
Senior Healthcare Data Analyst - Clinical Data Mapping & Quality New Palo Alto,
Qualifiedhealthai, Palo Alto, California, United States, 94306
Senior Healthcare Data Analyst - Clinical Data Mapping & Quality
Transform healthcare with us.
At Qualified Health, we’re redefining what’s possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring—working alongside leading health systems to drive real change.
This is more than just a job. It’s an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you’re ambitious, innovative, and ready to move fast, we’d love to have you on board.
Join us in shaping the future of healthcare.
Job Summary Qualified Health is seeking a Senior Healthcare Data Analyst to serve as the critical bridge between clinical concepts and technical data implementation. In this role, you will combine deep healthcare domain expertise with analytical rigor to design and implement data mappings that ensure our AI platform accurately represents clinical reality. You will work directly with health system partners to understand their data structures, develop comprehensive quality frameworks, and translate complex clinical workflows into standardized data models that power our platform’s intelligence.
Key Responsibilities
Clinical Concept Mapping:
Translate complex clinical concepts and workflows into explicit data element mappings across diverse source systems, ensuring semantic accuracy and clinical validity
Query Development:
Design and implement sophisticated SQL queries that conform source data to our Qualified Data Model while preserving clinical meaning and context
Data Quality Leadership:
Develop, maintain, and execute comprehensive QC checklists and validation frameworks to ensure data integrity across all clinical domains
Client Partnership:
Work directly with health system data teams, clinical informaticists, and IT departments to understand source schemas, reconcile mapping discrepancies, and optimize data extraction processes
Schema Reconciliation:
Lead technical discussions with customer teams to resolve data mapping conflicts, standardize terminology, and ensure consistent interpretation of clinical data elements
Documentation & Standards:
Create detailed mapping documentation, maintain data dictionaries, and establish standardized approaches for clinical data interpretation across EHR systems
Cross-functional Collaboration:
Partner with data engineers, clinical advisors, and product teams to ensure technical implementations align with clinical requirements and regulatory standards
Continuous Improvement:
Monitor data quality metrics, identify systematic issues, and recommend process improvements to enhance data accuracy and completeness
Training & Knowledge Transfer:
Develop training materials and conduct sessions for both internal teams and client organizations on proper data mapping and quality validation techniques
Required Qualifications
5+ years of experience in healthcare data analysis with demonstrated expertise in clinical data mapping and EHR data structures
Deep clinical domain knowledge including understanding of clinical workflows, medical terminology, and healthcare delivery processes
Advanced SQL proficiency with experience writing complex queries against healthcare databases and EHR systems
EHR Systems Expertise: Hands-on experience with major EHR platforms (Epic, Cerner, AllScripts, or others) and understanding of their underlying data models
Healthcare Data Standards: Working knowledge of FHIR, HL7, ICD-10, CPT, SNOMED, and other clinical coding systems
Data Quality Experience: Proven track record developing and implementing data validation frameworks and quality assurance processes
Client-facing Skills: Strong ability to work directly with health system stakeholders, translate technical concepts for clinical audiences, and manage complex data reconciliation projects
Problem-solving Capabilities: Demonstrated ability to troubleshoot complex data mapping issues and develop creative solutions for non-standard data formats
Communication Skills: Excellent written and verbal communication with ability to document complex mappings and present findings to varied technical and clinical audiences
Bachelor’s degree in Health Informatics, Healthcare Administration, Data Science, or related field
Clinical Background : Clinical training, HIM certification, or formal healthcare informatics education
FHIR Implementation Experience : Hands-on experience with FHIR mapping and transformation projects
Epic Certification : Cogito, Caboodle, Clarity, or Chronicles training and certification
Regulatory Knowledge : Understanding of HIPAA, HITECH, and healthcare data governance requirements
Analytics Tools : Proficiency in Python, R, Tableau, or similar analytical platforms
Project Management : Experience leading cross-functional data mapping initiatives
Master’s degree
in relevant field
Professional certifications
in health informatics (RHIA, CHPS, or similar)
Technical Environment You'll work with healthcare data from diverse sources including:
Epic (Clarity, Chronicles, FHIR APIs)
Cerner, AllScripts, and other major EHR platforms
Clinical registries and specialty systems
FHIR R4 and legacy HL7 formats
As a Senior Healthcare Data Analyst at Qualified Health, you’ll directly influence how our AI platform interprets and leverages clinical data from major health systems. Your expertise in clinical data mapping will be fundamental to ensuring our platform delivers accurate, meaningful insights that improve patient care.
Why Join Qualified Health? This is an opportunity to join a fast-growing company and a world-class team poised to change the healthcare industry. We are a mission-driven team building a category-defining product. We are backed by premier investors and seek team members who are excited to do the best work of their careers.
We offer competitive salaries with equity, robust medical/dental/vision insurance, flexible working hours, hybrid work options, and an inclusive environment that fosters creativity and innovation.
Our Commitment to Diversity Qualified Health is an equal opportunity employer. We are committed to building a diverse and inclusive team and encourage applications from all qualified individuals regardless of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, disability, or veteran status.
Pay & Benefits The pay range for this role is between $120,000 and $160,000 and will depend on skills, qualifications, experience, and location. The role is eligible for equity and benefits.
Application To apply, please send your resume through the application below. This description intentionally excludes non-essential application form boilerplate to focus on the role content.
Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the voluntary self-identification survey. Completion is optional and will not affect hiring decisions. More information is provided regarding rights and purposes of collection for EEO reporting.
#J-18808-Ljbffr
At Qualified Health, we’re redefining what’s possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring—working alongside leading health systems to drive real change.
This is more than just a job. It’s an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you’re ambitious, innovative, and ready to move fast, we’d love to have you on board.
Join us in shaping the future of healthcare.
Job Summary Qualified Health is seeking a Senior Healthcare Data Analyst to serve as the critical bridge between clinical concepts and technical data implementation. In this role, you will combine deep healthcare domain expertise with analytical rigor to design and implement data mappings that ensure our AI platform accurately represents clinical reality. You will work directly with health system partners to understand their data structures, develop comprehensive quality frameworks, and translate complex clinical workflows into standardized data models that power our platform’s intelligence.
Key Responsibilities
Clinical Concept Mapping:
Translate complex clinical concepts and workflows into explicit data element mappings across diverse source systems, ensuring semantic accuracy and clinical validity
Query Development:
Design and implement sophisticated SQL queries that conform source data to our Qualified Data Model while preserving clinical meaning and context
Data Quality Leadership:
Develop, maintain, and execute comprehensive QC checklists and validation frameworks to ensure data integrity across all clinical domains
Client Partnership:
Work directly with health system data teams, clinical informaticists, and IT departments to understand source schemas, reconcile mapping discrepancies, and optimize data extraction processes
Schema Reconciliation:
Lead technical discussions with customer teams to resolve data mapping conflicts, standardize terminology, and ensure consistent interpretation of clinical data elements
Documentation & Standards:
Create detailed mapping documentation, maintain data dictionaries, and establish standardized approaches for clinical data interpretation across EHR systems
Cross-functional Collaboration:
Partner with data engineers, clinical advisors, and product teams to ensure technical implementations align with clinical requirements and regulatory standards
Continuous Improvement:
Monitor data quality metrics, identify systematic issues, and recommend process improvements to enhance data accuracy and completeness
Training & Knowledge Transfer:
Develop training materials and conduct sessions for both internal teams and client organizations on proper data mapping and quality validation techniques
Required Qualifications
5+ years of experience in healthcare data analysis with demonstrated expertise in clinical data mapping and EHR data structures
Deep clinical domain knowledge including understanding of clinical workflows, medical terminology, and healthcare delivery processes
Advanced SQL proficiency with experience writing complex queries against healthcare databases and EHR systems
EHR Systems Expertise: Hands-on experience with major EHR platforms (Epic, Cerner, AllScripts, or others) and understanding of their underlying data models
Healthcare Data Standards: Working knowledge of FHIR, HL7, ICD-10, CPT, SNOMED, and other clinical coding systems
Data Quality Experience: Proven track record developing and implementing data validation frameworks and quality assurance processes
Client-facing Skills: Strong ability to work directly with health system stakeholders, translate technical concepts for clinical audiences, and manage complex data reconciliation projects
Problem-solving Capabilities: Demonstrated ability to troubleshoot complex data mapping issues and develop creative solutions for non-standard data formats
Communication Skills: Excellent written and verbal communication with ability to document complex mappings and present findings to varied technical and clinical audiences
Bachelor’s degree in Health Informatics, Healthcare Administration, Data Science, or related field
Clinical Background : Clinical training, HIM certification, or formal healthcare informatics education
FHIR Implementation Experience : Hands-on experience with FHIR mapping and transformation projects
Epic Certification : Cogito, Caboodle, Clarity, or Chronicles training and certification
Regulatory Knowledge : Understanding of HIPAA, HITECH, and healthcare data governance requirements
Analytics Tools : Proficiency in Python, R, Tableau, or similar analytical platforms
Project Management : Experience leading cross-functional data mapping initiatives
Master’s degree
in relevant field
Professional certifications
in health informatics (RHIA, CHPS, or similar)
Technical Environment You'll work with healthcare data from diverse sources including:
Epic (Clarity, Chronicles, FHIR APIs)
Cerner, AllScripts, and other major EHR platforms
Clinical registries and specialty systems
FHIR R4 and legacy HL7 formats
As a Senior Healthcare Data Analyst at Qualified Health, you’ll directly influence how our AI platform interprets and leverages clinical data from major health systems. Your expertise in clinical data mapping will be fundamental to ensuring our platform delivers accurate, meaningful insights that improve patient care.
Why Join Qualified Health? This is an opportunity to join a fast-growing company and a world-class team poised to change the healthcare industry. We are a mission-driven team building a category-defining product. We are backed by premier investors and seek team members who are excited to do the best work of their careers.
We offer competitive salaries with equity, robust medical/dental/vision insurance, flexible working hours, hybrid work options, and an inclusive environment that fosters creativity and innovation.
Our Commitment to Diversity Qualified Health is an equal opportunity employer. We are committed to building a diverse and inclusive team and encourage applications from all qualified individuals regardless of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, disability, or veteran status.
Pay & Benefits The pay range for this role is between $120,000 and $160,000 and will depend on skills, qualifications, experience, and location. The role is eligible for equity and benefits.
Application To apply, please send your resume through the application below. This description intentionally excludes non-essential application form boilerplate to focus on the role content.
Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the voluntary self-identification survey. Completion is optional and will not affect hiring decisions. More information is provided regarding rights and purposes of collection for EEO reporting.
#J-18808-Ljbffr