1,973 Neurosurgical Data Specialist jobs in the United States
Senior Healthcare Data Analyst - Clinical Data Mapping & Quality
Posted 6 days ago
Job Viewed
Job Description
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'll combine deep healthcare domain expertise with analytical rigor to design and implement data mappings that ensure our AI platform accurately represents clinical reality. You'll 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
- 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)
You'll work with healthcare data from diverse sources including:
- Epic (Clarity, Chronicles, FHIR APIs)
- Cerner, AllScripts, and other major EHR platforms
- Claims data (CMS, commercial payers)
- Clinical registries and specialty systems
- FHIR R4 and legacy HL7 formats
Impact & Growth Opportunity:
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. This role offers significant growth potential as we expand across diverse healthcare organizations and clinical use cases.
Why Join Qualified Health?
This is an opportunity to join a fast-growing company and a world-class team, that is poised to change the healthcare industry. We are a passionate, mission-driven team that is building a category-defining product. We are backed by premier investors and are looking for founding team members who are excited to do the best work of their careers.
Our employees are integral to achieving our goals so we are proud to offer competitive salaries with equity packages, 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 believe that a diverse and inclusive workplace is essential to our success, and we are committed to building a team that reflects the world we live in. We 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 your skills, qualifications, experience, and location. This role is also eligible for equity and benefits.
Join our mission to revolutionize healthcare with AI. To apply, please send your resume through the application below.
Staff Healthcare Data Scientist - Healthcare Data Infrastructure
Posted 3 days ago
Job Viewed
Job Description
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:
We're looking for a Staff Healthcare Data Scientist to bridge our robust data infrastructure with high-impact AI applications. You'll analyze downstream use cases, design optimal feature mappings from standardized healthcare data models, and develop sophisticated data transformations that maximize AI application performance. Working at the intersection of clinical knowledge and technical excellence, you'll ensure our platform delivers reliable, actionable insights to healthcare providers.
Key Responsibilities:
- Conduct comprehensive analysis of downstream AI applications to identify optimal data requirements and feature specifications
- Design and implement featurized data mappings from standardized healthcare data models (FHIR, Epic Clarity, HL7) to application-specific datasets
- Develop optimized data transformations within Azure Databricks that enhance AI application performance and clinical accuracy
- Build scalable PySpark workflows that efficiently process large-scale healthcare data while maintaining data integrity
- Partner with data analysts to develop comprehensive data QC checklists tailored to specific healthcare applications
- Design and implement automated data quality notebooks and monitoring systems to ensure completeness and clinical validity
- Collaborate with clinical stakeholders to translate healthcare workflows into optimized data structures and validate feature engineering approaches
- Establish reusable feature engineering frameworks and data quality metrics aligned with healthcare regulatory requirements
- 6+ years of experience in healthcare data science with demonstrated expertise in clinical data analysis and outcomes research
- Deep domain knowledge of healthcare data standards (FHIR r4, HL7v2, ICD-10, CPT, SNOMED-CT) and EHR data structures, particularly Epic Clarity
- Advanced degree in Data Science, Biostatistics, Epidemiology, or related quantitative field
- Expert-level proficiency in Python data science stack (pandas, scikit-learn, scipy, statsmodels)
- Extensive hands-on experience with Azure Databricks and PySpark for large-scale healthcare data processing
- Strong background in statistical modeling, machine learning, feature engineering, and advanced analytics techniques
- Solid understanding of modern data warehouse architectures and ETL patterns
- Outstanding communication skills with ability to explain complex analytical findings to both technical and clinical audiences
- Experience collaborating with cross-functional teams including clinicians, data engineers, and product managers
- PhD in Biostatistics, Epidemiology, Health Informatics, or related field
- Experience with real-world evidence studies and AI/ML applications in healthcare
- Background in healthcare regulatory frameworks (HIPAA, HITRUST, FDA guidelines)
- Experience with clinical decision support systems and quality improvement initiatives
- Relevant healthcare analytics or data science platform certifications
- Published research in healthcare informatics or clinical data science
Our data science infrastructure leverages:
- Azure Databricks + PySpark for large-scale data processing
- Azure Data Factory for data integration
- GitHub Actions + Terraform for CI/CD and infrastructure automation
Impact & Growth Opportunity:
As a Staff Healthcare Data Scientist, you'll play a pivotal role in ensuring our AI platform delivers clinically meaningful insights to healthcare providers. You'll directly influence how cutting-edge AI technologies are applied to real healthcare challenges while working with advanced healthcare datasets. This position offers significant visibility and growth potential as we scale across major health systems.
Why Join Qualified Health?
This is an opportunity to join a fast-growing company and a world-class team, that is poised to change the healthcare industry. We are a passionate, mission-driven team that is building a category-defining product. We are backed by premier investors and are looking for founding team members who are excited to do the best work of their careers.
Our employees are integral to achieving our goals so we are proud to offer competitive salaries with equity packages, 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 believe that a diverse and inclusive workplace is essential to our success, and we are committed to building a team that reflects the world we live in. We 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 $170,000 and $240,000, and will depend on your skills, qualifications, experience, and location. This role is also eligible for equity and benefits.
Join our mission to revolutionize healthcare with AI. To apply, please send your resume through the application below.
Senior Healthcare Data Specialist

Posted 1 day ago
Job Viewed
Job Description
This senior-level position is pivotal in the end-to-end design, development, implementation, deployment, and maintenance of robust healthcare data collection and processing systems. These systems are intended for and support critical observational studies, including population health, disease monitoring, clinical trials, and health surveillance. The Senior Healthcare Data Specialist will champion and oversee the entire lifecycle of these systems, from conception to ongoing maintenance, with a primary emphasis on ensuring data integrity, quality, and adherence to U.S. healthcare standards. The goal is to deliver solutions that are well-architected, scalable, maintainable, and meet stakeholder needs. This role requires operating during U.S. East Coast business hours.
**Key Responsibilities:**
+ **Project Leadership & Solution Delivery:** Lead and manage the full lifecycle of healthcare data system implementation projects, ensuring their completion on-time, on-budget, and in accordance with stakeholder requirements.
+ **Solution Design & Implementation:** Design, develop, implement, and maintain well-architected, scalable, and maintainable solutions to address intricate and complex healthcare data challenges.
+ **Data Modeling, Analysis & Management:**
+ Conduct comprehensive data modeling, encompassing both relational and non-relational approaches.
+ Perform data analysis to optimize data structures and integrity.
+ Apply healthcare data models and standards (e.g., HL7 FHIR, OMOP) consistently and correctly.
+ Accurately interpret, describe, convert, and integrate data from disparate, idiosyncratic, or custom data models into standardized formats.
+ Ensure good data management practices for healthcare datasets intended for scientific use, maintaining data integrity, security, and HIPAA compliance.
+ **Technical Problem Solving & Expertise:**
+ Diagnose, troubleshoot, and resolve complex technical issues related to data systems to minimize disruptions, ensure data accuracy, and maintain system uptime.
+ Stay current with and maintain knowledge of evolving healthcare data standards (e.g., HL7 FHIR, OMOP), models, and technologies, and drive their effective implementation.
+ **Documentation & Communication:**
+ Create, produce, and maintain comprehensive, clear, concise, and accurate technical and standard business documentation for all processes, procedures, system designs, and solutions to facilitate clarity, reproducibility, and effective knowledge transfer. This includes process flow diagrams, workflow diagrams, sequence diagrams, state flow diagrams, and Entity-Relationship Diagrams (ERDs).
+ Effectively communicate complex technical information to diverse audiences, including cross-functional teams, external stakeholders, customers, and senior leadership, managing expectations appropriately.
+ **Collaboration & Integration:** Work closely and collaborate effectively with cross-functional teams and external stakeholders to ensure the seamless integration of healthcare data solutions.
+ **Mentorship:** Train and mentor junior team members to enhance overall team capabilities.
+ **Operational Alignment:** Work in alignment with U.S. East Coast business hours.
**Required Qualifications:**
+ **Education & Experience:**
+ Bachelor's degree in Health Informatics, Computer Science, or a related field (or equivalent experience).
+ 7+ years of hands-on experience in implementing healthcare data collection and processing systems.
+ **Healthcare Data Expertise:**
+ Proficiency and expertise in data modeling (relational and non-relational) and applying various healthcare data models (e.g., HL7 FHIR, OMOP) to solve practical problems.
+ In-depth knowledge and practical application of healthcare data standards, particularly HL7 (especially FHIR).
+ Proven ability to work with, describe, convert, and integrate idiosyncratic or custom data models into standard formats.
+ **Technical & Analytical Acumen:**
+ Proven ability to independently troubleshoot and resolve complex technical problems in healthcare data systems and integration.
+ Strong analytical and problem-solving skills, with a focus on healthcare data challenges.
+ Proficiency with distributed version control systems, preferably Git, for collaborative development and documentation.
+ **Communication & Project Management Skills:**
+ Excellent written and verbal communication skills, capable of explaining complex technical healthcare data concepts clearly and concisely to both technical and non-technical audiences, including senior leadership and customers (including VP and Executive Director levels).
+ Ability to work independently, manage multiple priorities, and drive projects to successful completion in the context of healthcare data projects.
+ Skilled in rapidly producing clear, concise, and accurate standard business documentation and various diagram types (e.g., ERDs, flowcharts, sequence diagrams), understanding the appropriate use for each and the ability to use a combination of multiple diagram types to describe complex business processes accurately and comprehensively.
+ **Healthcare Domain Knowledge:**
+ Familiarity with the U.S. healthcare system, including its data structures, standards, and key initiatives.
+ Experience with data management requirements and considerations for human subjects research, especially longitudinal studies.
+ Knowledge of good data management practices for scientific datasets (ensuring integrity, security, and HIPAA compliance).
+ **Adaptability & Learning:**
+ Demonstrated ability to quickly learn and master new, highly detailed, domain-specific knowledge (e.g., Quality Payment Program) and apply it to implementation projects, becoming a subject matter expert on regularly changing programs.
+ **Operational Requirement:** Ability to work aligned with U.S. East Coast business hours.
**Preferred Qualifications:**
+ **Advanced Education & Experience:**
+ Master's degree in Health Informatics or a related field.
+ 10+ years of experience in implementing healthcare data collection and processing systems, particularly for observational studies.
+ **Standards Mastery:** Advanced proficiency and mastery in the use of FHIR and other healthcare data standards.
+ **Coding Systems:** Familiarity with healthcare coding systems (e.g., SNOMED, ICD, LOINC).
+ **Technical Skills:** Demonstrable experience with scripting languages (e.g., Python, R, SAS) and query languages (e.g., SQL) to deliver project outcomes.
+ **Certifications:** Relevant certifications in healthcare data standards or technologies (e.g., FHIR certification).
+ **Domain Experience:** Experience in human subjects research, clinical research, public health, or related fields.
#LI-DNI
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law. potential base pay range for this role, when annualized, is $84,600.00 - $211,600.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create connections that accelerate the development and commercialization of innovative medical treatments. Everything we do is part of a journey to improve patient outcomes and population health worldwide.
To get there, we seek out diverse talent with curious minds and a relentless commitment to innovation and impact. No matter your role, everyone at IQVIA contributes to our shared goal of helping customers improve the lives of patients everywhere. Thank you for your interest in growing your career with us.
EEO Minorities/Females/Protected Veterans/Disabled
Senior Healthcare Data Specialist

Posted 1 day ago
Job Viewed
Job Description
This senior-level position is pivotal in the end-to-end design, development, implementation, deployment, and maintenance of robust healthcare data collection and processing systems. These systems are intended for and support critical observational studies, including population health, disease monitoring, clinical trials, and health surveillance. The Senior Healthcare Data Specialist will champion and oversee the entire lifecycle of these systems, from conception to ongoing maintenance, with a primary emphasis on ensuring data integrity, quality, and adherence to U.S. healthcare standards. The goal is to deliver solutions that are well-architected, scalable, maintainable, and meet stakeholder needs. This role requires operating during U.S. East Coast business hours.
**Key Responsibilities:**
+ **Project Leadership & Solution Delivery:** Lead and manage the full lifecycle of healthcare data system implementation projects, ensuring their completion on-time, on-budget, and in accordance with stakeholder requirements.
+ **Solution Design & Implementation:** Design, develop, implement, and maintain well-architected, scalable, and maintainable solutions to address intricate and complex healthcare data challenges.
+ **Data Modeling, Analysis & Management:**
+ Conduct comprehensive data modeling, encompassing both relational and non-relational approaches.
+ Perform data analysis to optimize data structures and integrity.
+ Apply healthcare data models and standards (e.g., HL7 FHIR, OMOP) consistently and correctly.
+ Accurately interpret, describe, convert, and integrate data from disparate, idiosyncratic, or custom data models into standardized formats.
+ Ensure good data management practices for healthcare datasets intended for scientific use, maintaining data integrity, security, and HIPAA compliance.
+ **Technical Problem Solving & Expertise:**
+ Diagnose, troubleshoot, and resolve complex technical issues related to data systems to minimize disruptions, ensure data accuracy, and maintain system uptime.
+ Stay current with and maintain knowledge of evolving healthcare data standards (e.g., HL7 FHIR, OMOP), models, and technologies, and drive their effective implementation.
+ **Documentation & Communication:**
+ Create, produce, and maintain comprehensive, clear, concise, and accurate technical and standard business documentation for all processes, procedures, system designs, and solutions to facilitate clarity, reproducibility, and effective knowledge transfer. This includes process flow diagrams, workflow diagrams, sequence diagrams, state flow diagrams, and Entity-Relationship Diagrams (ERDs).
+ Effectively communicate complex technical information to diverse audiences, including cross-functional teams, external stakeholders, customers, and senior leadership, managing expectations appropriately.
+ **Collaboration & Integration:** Work closely and collaborate effectively with cross-functional teams and external stakeholders to ensure the seamless integration of healthcare data solutions.
+ **Mentorship:** Train and mentor junior team members to enhance overall team capabilities.
+ **Operational Alignment:** Work in alignment with U.S. East Coast business hours.
**Required Qualifications:**
+ **Education & Experience:**
+ Bachelor's degree in Health Informatics, Computer Science, or a related field (or equivalent experience).
+ 7+ years of hands-on experience in implementing healthcare data collection and processing systems.
+ **Healthcare Data Expertise:**
+ Proficiency and expertise in data modeling (relational and non-relational) and applying various healthcare data models (e.g., HL7 FHIR, OMOP) to solve practical problems.
+ In-depth knowledge and practical application of healthcare data standards, particularly HL7 (especially FHIR).
+ Proven ability to work with, describe, convert, and integrate idiosyncratic or custom data models into standard formats.
+ **Technical & Analytical Acumen:**
+ Proven ability to independently troubleshoot and resolve complex technical problems in healthcare data systems and integration.
+ Strong analytical and problem-solving skills, with a focus on healthcare data challenges.
+ Proficiency with distributed version control systems, preferably Git, for collaborative development and documentation.
+ **Communication & Project Management Skills:**
+ Excellent written and verbal communication skills, capable of explaining complex technical healthcare data concepts clearly and concisely to both technical and non-technical audiences, including senior leadership and customers (including VP and Executive Director levels).
+ Ability to work independently, manage multiple priorities, and drive projects to successful completion in the context of healthcare data projects.
+ Skilled in rapidly producing clear, concise, and accurate standard business documentation and various diagram types (e.g., ERDs, flowcharts, sequence diagrams), understanding the appropriate use for each and the ability to use a combination of multiple diagram types to describe complex business processes accurately and comprehensively.
+ **Healthcare Domain Knowledge:**
+ Familiarity with the U.S. healthcare system, including its data structures, standards, and key initiatives.
+ Experience with data management requirements and considerations for human subjects research, especially longitudinal studies.
+ Knowledge of good data management practices for scientific datasets (ensuring integrity, security, and HIPAA compliance).
+ **Adaptability & Learning:**
+ Demonstrated ability to quickly learn and master new, highly detailed, domain-specific knowledge (e.g., Quality Payment Program) and apply it to implementation projects, becoming a subject matter expert on regularly changing programs.
+ **Operational Requirement:** Ability to work aligned with U.S. East Coast business hours.
**Preferred Qualifications:**
+ **Advanced Education & Experience:**
+ Master's degree in Health Informatics or a related field.
+ 10+ years of experience in implementing healthcare data collection and processing systems, particularly for observational studies.
+ **Standards Mastery:** Advanced proficiency and mastery in the use of FHIR and other healthcare data standards.
+ **Coding Systems:** Familiarity with healthcare coding systems (e.g., SNOMED, ICD, LOINC).
+ **Technical Skills:** Demonstrable experience with scripting languages (e.g., Python, R, SAS) and query languages (e.g., SQL) to deliver project outcomes.
+ **Certifications:** Relevant certifications in healthcare data standards or technologies (e.g., FHIR certification).
+ **Domain Experience:** Experience in human subjects research, clinical research, public health, or related fields.
#LI-DNI
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law. potential base pay range for this role, when annualized, is $84,600.00 - $211,600.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create connections that accelerate the development and commercialization of innovative medical treatments. Everything we do is part of a journey to improve patient outcomes and population health worldwide.
To get there, we seek out diverse talent with curious minds and a relentless commitment to innovation and impact. No matter your role, everyone at IQVIA contributes to our shared goal of helping customers improve the lives of patients everywhere. Thank you for your interest in growing your career with us.
EEO Minorities/Females/Protected Veterans/Disabled
Senior Healthcare Data Specialist
Posted 11 days ago
Job Viewed
Job Description
This senior-level position is pivotal in the end-to-end design, development, implementation, deployment, and maintenance of robust healthcare data collection and processing systems. These systems are intended for and support critical observational studies, including population health, disease monitoring, clinical trials, and health surveillance. The Senior Healthcare Data Specialist will champion and oversee the entire lifecycle of these systems, from conception to ongoing maintenance, with a primary emphasis on ensuring data integrity, quality, and adherence to U.S. healthcare standards. The goal is to deliver solutions that are well-architected, scalable, maintainable, and meet stakeholder needs. This role requires operating during U.S. East Coast business hours.
**Key Responsibilities:**
+ **Project Leadership & Solution Delivery:** Lead and manage the full lifecycle of healthcare data system implementation projects, ensuring their completion on-time, on-budget, and in accordance with stakeholder requirements.
+ **Solution Design & Implementation:** Design, develop, implement, and maintain well-architected, scalable, and maintainable solutions to address intricate and complex healthcare data challenges.
+ **Data Modeling, Analysis & Management:**
+ Conduct comprehensive data modeling, encompassing both relational and non-relational approaches.
+ Perform data analysis to optimize data structures and integrity.
+ Apply healthcare data models and standards (e.g., HL7 FHIR, OMOP) consistently and correctly.
+ Accurately interpret, describe, convert, and integrate data from disparate, idiosyncratic, or custom data models into standardized formats.
+ Ensure good data management practices for healthcare datasets intended for scientific use, maintaining data integrity, security, and HIPAA compliance.
+ **Technical Problem Solving & Expertise:**
+ Diagnose, troubleshoot, and resolve complex technical issues related to data systems to minimize disruptions, ensure data accuracy, and maintain system uptime.
+ Stay current with and maintain knowledge of evolving healthcare data standards (e.g., HL7 FHIR, OMOP), models, and technologies, and drive their effective implementation.
+ **Documentation & Communication:**
+ Create, produce, and maintain comprehensive, clear, concise, and accurate technical and standard business documentation for all processes, procedures, system designs, and solutions to facilitate clarity, reproducibility, and effective knowledge transfer. This includes process flow diagrams, workflow diagrams, sequence diagrams, state flow diagrams, and Entity-Relationship Diagrams (ERDs).
+ Effectively communicate complex technical information to diverse audiences, including cross-functional teams, external stakeholders, customers, and senior leadership, managing expectations appropriately.
+ **Collaboration & Integration:** Work closely and collaborate effectively with cross-functional teams and external stakeholders to ensure the seamless integration of healthcare data solutions.
+ **Mentorship:** Train and mentor junior team members to enhance overall team capabilities.
+ **Operational Alignment:** Work in alignment with U.S. East Coast business hours.
**Required Qualifications:**
+ **Education & Experience:**
+ Bachelor's degree in Health Informatics, Computer Science, or a related field (or equivalent experience).
+ 7+ years of hands-on experience in implementing healthcare data collection and processing systems.
+ **Healthcare Data Expertise:**
+ Proficiency and expertise in data modeling (relational and non-relational) and applying various healthcare data models (e.g., HL7 FHIR, OMOP) to solve practical problems.
+ In-depth knowledge and practical application of healthcare data standards, particularly HL7 (especially FHIR).
+ Proven ability to work with, describe, convert, and integrate idiosyncratic or custom data models into standard formats.
+ **Technical & Analytical Acumen:**
+ Proven ability to independently troubleshoot and resolve complex technical problems in healthcare data systems and integration.
+ Strong analytical and problem-solving skills, with a focus on healthcare data challenges.
+ Proficiency with distributed version control systems, preferably Git, for collaborative development and documentation.
+ **Communication & Project Management Skills:**
+ Excellent written and verbal communication skills, capable of explaining complex technical healthcare data concepts clearly and concisely to both technical and non-technical audiences, including senior leadership and customers (including VP and Executive Director levels).
+ Ability to work independently, manage multiple priorities, and drive projects to successful completion in the context of healthcare data projects.
+ Skilled in rapidly producing clear, concise, and accurate standard business documentation and various diagram types (e.g., ERDs, flowcharts, sequence diagrams), understanding the appropriate use for each and the ability to use a combination of multiple diagram types to describe complex business processes accurately and comprehensively.
+ **Healthcare Domain Knowledge:**
+ Familiarity with the U.S. healthcare system, including its data structures, standards, and key initiatives.
+ Experience with data management requirements and considerations for human subjects research, especially longitudinal studies.
+ Knowledge of good data management practices for scientific datasets (ensuring integrity, security, and HIPAA compliance).
+ **Adaptability & Learning:**
+ Demonstrated ability to quickly learn and master new, highly detailed, domain-specific knowledge (e.g., Quality Payment Program) and apply it to implementation projects, becoming a subject matter expert on regularly changing programs.
+ **Operational Requirement:** Ability to work aligned with U.S. East Coast business hours.
**Preferred Qualifications:**
+ **Advanced Education & Experience:**
+ Master's degree in Health Informatics or a related field.
+ 10+ years of experience in implementing healthcare data collection and processing systems, particularly for observational studies.
+ **Standards Mastery:** Advanced proficiency and mastery in the use of FHIR and other healthcare data standards.
+ **Coding Systems:** Familiarity with healthcare coding systems (e.g., SNOMED, ICD, LOINC).
+ **Technical Skills:** Demonstrable experience with scripting languages (e.g., Python, R, SAS) and query languages (e.g., SQL) to deliver project outcomes.
+ **Certifications:** Relevant certifications in healthcare data standards or technologies (e.g., FHIR certification).
+ **Domain Experience:** Experience in human subjects research, clinical research, public health, or related fields.
#LI-DNI
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law. potential base pay range for this role, when annualized, is $84,600.00 - $211,600.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create connections that accelerate the development and commercialization of innovative medical treatments. Everything we do is part of a journey to improve patient outcomes and population health worldwide.
To get there, we seek out diverse talent with curious minds and a relentless commitment to innovation and impact. No matter your role, everyone at IQVIA contributes to our shared goal of helping customers improve the lives of patients everywhere. Thank you for your interest in growing your career with us.
EEO Minorities/Females/Protected Veterans/Disabled
Senior Healthcare Data Specialist
Posted 11 days ago
Job Viewed
Job Description
This senior-level position is pivotal in the end-to-end design, development, implementation, deployment, and maintenance of robust healthcare data collection and processing systems. These systems are intended for and support critical observational studies, including population health, disease monitoring, clinical trials, and health surveillance. The Senior Healthcare Data Specialist will champion and oversee the entire lifecycle of these systems, from conception to ongoing maintenance, with a primary emphasis on ensuring data integrity, quality, and adherence to U.S. healthcare standards. The goal is to deliver solutions that are well-architected, scalable, maintainable, and meet stakeholder needs. This role requires operating during U.S. East Coast business hours.
**Key Responsibilities:**
+ **Project Leadership & Solution Delivery:** Lead and manage the full lifecycle of healthcare data system implementation projects, ensuring their completion on-time, on-budget, and in accordance with stakeholder requirements.
+ **Solution Design & Implementation:** Design, develop, implement, and maintain well-architected, scalable, and maintainable solutions to address intricate and complex healthcare data challenges.
+ **Data Modeling, Analysis & Management:**
+ Conduct comprehensive data modeling, encompassing both relational and non-relational approaches.
+ Perform data analysis to optimize data structures and integrity.
+ Apply healthcare data models and standards (e.g., HL7 FHIR, OMOP) consistently and correctly.
+ Accurately interpret, describe, convert, and integrate data from disparate, idiosyncratic, or custom data models into standardized formats.
+ Ensure good data management practices for healthcare datasets intended for scientific use, maintaining data integrity, security, and HIPAA compliance.
+ **Technical Problem Solving & Expertise:**
+ Diagnose, troubleshoot, and resolve complex technical issues related to data systems to minimize disruptions, ensure data accuracy, and maintain system uptime.
+ Stay current with and maintain knowledge of evolving healthcare data standards (e.g., HL7 FHIR, OMOP), models, and technologies, and drive their effective implementation.
+ **Documentation & Communication:**
+ Create, produce, and maintain comprehensive, clear, concise, and accurate technical and standard business documentation for all processes, procedures, system designs, and solutions to facilitate clarity, reproducibility, and effective knowledge transfer. This includes process flow diagrams, workflow diagrams, sequence diagrams, state flow diagrams, and Entity-Relationship Diagrams (ERDs).
+ Effectively communicate complex technical information to diverse audiences, including cross-functional teams, external stakeholders, customers, and senior leadership, managing expectations appropriately.
+ **Collaboration & Integration:** Work closely and collaborate effectively with cross-functional teams and external stakeholders to ensure the seamless integration of healthcare data solutions.
+ **Mentorship:** Train and mentor junior team members to enhance overall team capabilities.
+ **Operational Alignment:** Work in alignment with U.S. East Coast business hours.
**Required Qualifications:**
+ **Education & Experience:**
+ Bachelor's degree in Health Informatics, Computer Science, or a related field (or equivalent experience).
+ 7+ years of hands-on experience in implementing healthcare data collection and processing systems.
+ **Healthcare Data Expertise:**
+ Proficiency and expertise in data modeling (relational and non-relational) and applying various healthcare data models (e.g., HL7 FHIR, OMOP) to solve practical problems.
+ In-depth knowledge and practical application of healthcare data standards, particularly HL7 (especially FHIR).
+ Proven ability to work with, describe, convert, and integrate idiosyncratic or custom data models into standard formats.
+ **Technical & Analytical Acumen:**
+ Proven ability to independently troubleshoot and resolve complex technical problems in healthcare data systems and integration.
+ Strong analytical and problem-solving skills, with a focus on healthcare data challenges.
+ Proficiency with distributed version control systems, preferably Git, for collaborative development and documentation.
+ **Communication & Project Management Skills:**
+ Excellent written and verbal communication skills, capable of explaining complex technical healthcare data concepts clearly and concisely to both technical and non-technical audiences, including senior leadership and customers (including VP and Executive Director levels).
+ Ability to work independently, manage multiple priorities, and drive projects to successful completion in the context of healthcare data projects.
+ Skilled in rapidly producing clear, concise, and accurate standard business documentation and various diagram types (e.g., ERDs, flowcharts, sequence diagrams), understanding the appropriate use for each and the ability to use a combination of multiple diagram types to describe complex business processes accurately and comprehensively.
+ **Healthcare Domain Knowledge:**
+ Familiarity with the U.S. healthcare system, including its data structures, standards, and key initiatives.
+ Experience with data management requirements and considerations for human subjects research, especially longitudinal studies.
+ Knowledge of good data management practices for scientific datasets (ensuring integrity, security, and HIPAA compliance).
+ **Adaptability & Learning:**
+ Demonstrated ability to quickly learn and master new, highly detailed, domain-specific knowledge (e.g., Quality Payment Program) and apply it to implementation projects, becoming a subject matter expert on regularly changing programs.
+ **Operational Requirement:** Ability to work aligned with U.S. East Coast business hours.
**Preferred Qualifications:**
+ **Advanced Education & Experience:**
+ Master's degree in Health Informatics or a related field.
+ 10+ years of experience in implementing healthcare data collection and processing systems, particularly for observational studies.
+ **Standards Mastery:** Advanced proficiency and mastery in the use of FHIR and other healthcare data standards.
+ **Coding Systems:** Familiarity with healthcare coding systems (e.g., SNOMED, ICD, LOINC).
+ **Technical Skills:** Demonstrable experience with scripting languages (e.g., Python, R, SAS) and query languages (e.g., SQL) to deliver project outcomes.
+ **Certifications:** Relevant certifications in healthcare data standards or technologies (e.g., FHIR certification).
+ **Domain Experience:** Experience in human subjects research, clinical research, public health, or related fields.
#LI-DNI
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law. potential base pay range for this role, when annualized, is $84,600.00 - $211,600.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create connections that accelerate the development and commercialization of innovative medical treatments. Everything we do is part of a journey to improve patient outcomes and population health worldwide.
To get there, we seek out diverse talent with curious minds and a relentless commitment to innovation and impact. No matter your role, everyone at IQVIA contributes to our shared goal of helping customers improve the lives of patients everywhere. Thank you for your interest in growing your career with us.
EEO Minorities/Females/Protected Veterans/Disabled
Senior Healthcare Data Specialist
Posted 11 days ago
Job Viewed
Job Description
This senior-level position is pivotal in the end-to-end design, development, implementation, deployment, and maintenance of robust healthcare data collection and processing systems. These systems are intended for and support critical observational studies, including population health, disease monitoring, clinical trials, and health surveillance. The Senior Healthcare Data Specialist will champion and oversee the entire lifecycle of these systems, from conception to ongoing maintenance, with a primary emphasis on ensuring data integrity, quality, and adherence to U.S. healthcare standards. The goal is to deliver solutions that are well-architected, scalable, maintainable, and meet stakeholder needs. This role requires operating during U.S. East Coast business hours.
**Key Responsibilities:**
+ **Project Leadership & Solution Delivery:** Lead and manage the full lifecycle of healthcare data system implementation projects, ensuring their completion on-time, on-budget, and in accordance with stakeholder requirements.
+ **Solution Design & Implementation:** Design, develop, implement, and maintain well-architected, scalable, and maintainable solutions to address intricate and complex healthcare data challenges.
+ **Data Modeling, Analysis & Management:**
+ Conduct comprehensive data modeling, encompassing both relational and non-relational approaches.
+ Perform data analysis to optimize data structures and integrity.
+ Apply healthcare data models and standards (e.g., HL7 FHIR, OMOP) consistently and correctly.
+ Accurately interpret, describe, convert, and integrate data from disparate, idiosyncratic, or custom data models into standardized formats.
+ Ensure good data management practices for healthcare datasets intended for scientific use, maintaining data integrity, security, and HIPAA compliance.
+ **Technical Problem Solving & Expertise:**
+ Diagnose, troubleshoot, and resolve complex technical issues related to data systems to minimize disruptions, ensure data accuracy, and maintain system uptime.
+ Stay current with and maintain knowledge of evolving healthcare data standards (e.g., HL7 FHIR, OMOP), models, and technologies, and drive their effective implementation.
+ **Documentation & Communication:**
+ Create, produce, and maintain comprehensive, clear, concise, and accurate technical and standard business documentation for all processes, procedures, system designs, and solutions to facilitate clarity, reproducibility, and effective knowledge transfer. This includes process flow diagrams, workflow diagrams, sequence diagrams, state flow diagrams, and Entity-Relationship Diagrams (ERDs).
+ Effectively communicate complex technical information to diverse audiences, including cross-functional teams, external stakeholders, customers, and senior leadership, managing expectations appropriately.
+ **Collaboration & Integration:** Work closely and collaborate effectively with cross-functional teams and external stakeholders to ensure the seamless integration of healthcare data solutions.
+ **Mentorship:** Train and mentor junior team members to enhance overall team capabilities.
+ **Operational Alignment:** Work in alignment with U.S. East Coast business hours.
**Required Qualifications:**
+ **Education & Experience:**
+ Bachelor's degree in Health Informatics, Computer Science, or a related field (or equivalent experience).
+ 7+ years of hands-on experience in implementing healthcare data collection and processing systems.
+ **Healthcare Data Expertise:**
+ Proficiency and expertise in data modeling (relational and non-relational) and applying various healthcare data models (e.g., HL7 FHIR, OMOP) to solve practical problems.
+ In-depth knowledge and practical application of healthcare data standards, particularly HL7 (especially FHIR).
+ Proven ability to work with, describe, convert, and integrate idiosyncratic or custom data models into standard formats.
+ **Technical & Analytical Acumen:**
+ Proven ability to independently troubleshoot and resolve complex technical problems in healthcare data systems and integration.
+ Strong analytical and problem-solving skills, with a focus on healthcare data challenges.
+ Proficiency with distributed version control systems, preferably Git, for collaborative development and documentation.
+ **Communication & Project Management Skills:**
+ Excellent written and verbal communication skills, capable of explaining complex technical healthcare data concepts clearly and concisely to both technical and non-technical audiences, including senior leadership and customers (including VP and Executive Director levels).
+ Ability to work independently, manage multiple priorities, and drive projects to successful completion in the context of healthcare data projects.
+ Skilled in rapidly producing clear, concise, and accurate standard business documentation and various diagram types (e.g., ERDs, flowcharts, sequence diagrams), understanding the appropriate use for each and the ability to use a combination of multiple diagram types to describe complex business processes accurately and comprehensively.
+ **Healthcare Domain Knowledge:**
+ Familiarity with the U.S. healthcare system, including its data structures, standards, and key initiatives.
+ Experience with data management requirements and considerations for human subjects research, especially longitudinal studies.
+ Knowledge of good data management practices for scientific datasets (ensuring integrity, security, and HIPAA compliance).
+ **Adaptability & Learning:**
+ Demonstrated ability to quickly learn and master new, highly detailed, domain-specific knowledge (e.g., Quality Payment Program) and apply it to implementation projects, becoming a subject matter expert on regularly changing programs.
+ **Operational Requirement:** Ability to work aligned with U.S. East Coast business hours.
**Preferred Qualifications:**
+ **Advanced Education & Experience:**
+ Master's degree in Health Informatics or a related field.
+ 10+ years of experience in implementing healthcare data collection and processing systems, particularly for observational studies.
+ **Standards Mastery:** Advanced proficiency and mastery in the use of FHIR and other healthcare data standards.
+ **Coding Systems:** Familiarity with healthcare coding systems (e.g., SNOMED, ICD, LOINC).
+ **Technical Skills:** Demonstrable experience with scripting languages (e.g., Python, R, SAS) and query languages (e.g., SQL) to deliver project outcomes.
+ **Certifications:** Relevant certifications in healthcare data standards or technologies (e.g., FHIR certification).
+ **Domain Experience:** Experience in human subjects research, clinical research, public health, or related fields.
#LI-DNI
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law. potential base pay range for this role, when annualized, is $84,600.00 - $211,600.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create connections that accelerate the development and commercialization of innovative medical treatments. Everything we do is part of a journey to improve patient outcomes and population health worldwide.
To get there, we seek out diverse talent with curious minds and a relentless commitment to innovation and impact. No matter your role, everyone at IQVIA contributes to our shared goal of helping customers improve the lives of patients everywhere. Thank you for your interest in growing your career with us.
EEO Minorities/Females/Protected Veterans/Disabled
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healthcare data analyst
Posted 29 days ago
Job Viewed
Job Description
We are seeking a detail-oriented Healthcare Data Analyst to collect, analyze, and interpret healthcare-related data that supports clinical, operational, and business decisions. The role involves leveraging data analytics tools and healthcare knowledge to improve patient outcomes, optimize processes, and ensure compliance with healthcare regulations.
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Key Responsibilities:
• Collect, clean, and validate healthcare datasets from electronic health records (EHR), claims, and other healthcare systems
• Perform statistical analyses and generate insights to support patient care, hospital operations, and cost-efficiency initiatives
• Develop and maintain dashboards and reports for healthcare providers, administrators, and stakeholders
• Collaborate with clinicians, IT teams, and management to identify data-driven opportunities for improvement
• Ensure data accuracy, integrity, and compliance with HIPAA and other regulatory standards
• Create predictive models to forecast patient needs, staffing requirements, and resource utilization
• Document methodologies, findings, and best practices for transparency and reproducibility
• Stay updated with industry trends, healthcare analytics tools, and best practices
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Qualifications:
• Bachelor’s degree in Healthcare Administration, Data Science, Statistics, Public Health, Computer Science, or related field (Master’s preferred)
• Experience in healthcare analytics, medical data management, or a related role
• Strong proficiency in SQL, Excel, and data visualization tools (Tableau, Power BI, QlikView)
• Knowledge of programming languages (Python, R) for statistical analysis
• Understanding of healthcare systems (EHR, EMR, claims data) and medical terminologies
• Familiarity with regulatory standards such as HIPAA
• Strong analytical, problem-solving, and communication skills
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Employment Type: Full-time / Remote / Hybrid
Salary Range (U.S.):
• Annual: $76,000 – $20,000 (varies by location and experience)
• Hourly: $3 – $5 /hr
Company Details
Healthcare Data Analyst
Posted 4 days ago
Job Viewed
Job Description
Nationwide IT Services, NIS, is seeking a highly skilled Healthcare Data Analyst for a potential opportunity, with expertise in healthcare systems, patient movement, and quality improvement, to support mission-critical operations. This role involves advanced data analysis, subject-matter expertise in specialized systems, and collaboration with cross-disciplinary teams to ensure data integrity, risk management, and continuous improvement within the healthcare environment.
Key Responsibilities
- Conduct quantitative and qualitative data analysis for patient care encounters and PSP reports.
- Perform expert data quality analysis for transmissions of patient en-route care encounters.
- Provide subject-matter expertise in the ERC-AE patient movement system.
- Serve as a Manpower and Equipment Force Packaging System (MEFPAK) subject-matter expert to support the AMC global en-route care mission.
- Collaborate with risk management and quality teams to improve patient safety processes.
- Perform Root Cause Analysis (RCA), proactive risk assessments, and performance improvement (PI) initiatives.
- Develop dashboards, reports, and project status updates to brief leadership.
- Lead and participate in multidisciplinary committees, workshops, and education programs.
- Ensure compliance with environmental safety, infection control standards, and accreditation requirements.
- Attend staff meetings, CQI program meetings, and government-requested conferences or courses.
Required Qualifications
- Bachelor's degree in Nursing, Health Care Administration, Health Care Informatics, Data Analysis, or equivalent (preferred).
- Minimum of four (4) years of experience in the healthcare industry (or equivalent). Military healthcare experience highly desirable.
- Proficiency with quantitative and qualitative data analysis tools and processes.
- Experience with Microsoft Office Suite (Outlook, Word, Excel, PowerPoint); familiarity with Access, Visual Basic, SQL, relational databases, and report design tools.
- Ability to manage multiple projects and prioritize effectively.
- Strong written and oral communication skills, including public speaking and the ability to brief multidisciplinary leadership.
- Knowledge of The Joint Commission (TJC) and/or Accreditation Association for Ambulatory Health Care (AAAHC) standards and scoring guidelines (desired).
- At least one year of RCA/PI experience in healthcare and two (2) years of program management experience.
- Must maintain American Heart Association Basic Life Support (BLS) Heartsaver CPR/AED certification (or equivalent).
Additional Requirements
- Completion of hospital orientation/competency verification per facility guidelines.
- Attendance and participation in required staff meetings, training, and annual compliance programs.
- Must attend the DoD Basic Safety Patient Manager's Course (once) and one annual government-requested conference, meeting, or TDY.
What We Offer
- Opportunity to contribute to mission-critical healthcare operations.
- Collaborative, interdisciplinary work environment.
- Professional development and training opportunities.
- Competitive compensation and benefits package.
About Nationwide IT Services:
NIS is an IT and Management consulting company and is a CVE-verified Service-Disabled Veteran-Owned Small Business. Our mission is to deliver value-added services to our customers, leveraging technology, people, and industry best practices to implement innovative solutions through our trusted employees and team members. Our benefits package includes medical, dental, and vision insurance, life and disability insurance, a 401(k) plan with employer match, paid holidays, PTO (sick/vacation), commuter benefits, an employee assistance program (EAP), and educational reimbursement, as well as pet insurance. Nationwide IT Services, Inc. provides equal employment opportunities (EEO) to all qualified applicants for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, genetics, disability, or protected veteran status.
Healthcare Data Analyst
Posted 9 days ago
Job Viewed
Job Description
At Zelis, we Get Stuff Done. So, let's get to it!
A Little About Us
Zelis is modernizing the healthcare financial experience across payers, providers, and healthcare consumers. We serve more than 750 payers, including the top five national health plans, regional health plans, TPAs and millions of healthcare providers and consumers across our platform of solutions. Zelis sees across the system to identify, optimize, and solve problems holistically with technology built by healthcare experts - driving real, measurable results for clients.
A Little About You
You bring a unique blend of personality and professional expertise to your work, inspiring others with your passion and dedication. Your career is a testament to your diverse experiences, community involvement, and the valuable lessons you've learned along the way. You are more than just your resume; you are a reflection of your achievements, the knowledge you've gained, and the personal interests that shape who you are.
Position Overview
The Healthcare Data Analyst will be responsible for analyzing and managing healthcare repricing claim data, with a focus on various pricing methodologies including Medicare, Medicaid, and commercial reimbursements. This role involves leveraging data to ensure accurate and efficient claim processing, offer insights into contract performance, and communicate results to both internal and external stakeholders.What you'll do:
Analyze and interpret healthcare claim data to support/recommend decision-making processes.
Analyze and interact with data in SQL tables.
Utilize Excel for data manipulation, analysis, and reporting.
Understand claim payment methodologies such as Medicare, Medicaid, and Commercial Reimbursement.
Create visualizations and dashboards to present data findings (Tableau experience is a plus).
The ability to multi-task and work on multiple assignments will be required.
This individual must also demonstrate clear and concise communication both verbally and in writing. Including sales, client facing teams and clients
Actively contribute innovative ideas and support ad hoc projects, including time-sensitive requests
Maintains awareness of and ensure adherence to ZELIS standards regarding privacy.
Keep abreast of issues to identify enhancements and process improvement opportunities
What you'll bring to Zelis:
2+ years of experience in healthcare data analysis.
1+ years in claim reimbursement methodologies (Medicare, Medicaid, Commercial)
Experience with Tableau is a bonus but not required.
Excellent communication and collaboration abilities.
Consistently demonstrate ability to act and react swiftly to continuous challenges and changes
Excellent follow through, attention to detail, and time management skills
Ability to manage projects simultaneously and achieve goals
Strong initiative, self-directed and self-motivation
Strong organization and project / process management skills
Excellent analytical skills with data and analytics related solutions
Ability to think and act strategically, and as well as execute tactically with bias toward action
Demonstrated leadership ability with cross-functional teams, knows how to get things done both through formal channels and the informal network
Financial modeling and strong analytic skills
Strong excel skills required
Demonstrated ability to evaluate and balance team and individual workloads through effective time management, prioritization, and organizational skills
Creative problem-solving skills, leveraging insights and input from other parts of an organization
Proficient in SQL (Select, Joins, CTE, Sub Queries)
Proficiency other Microsoft Office products - Outlook, Word, Excel, PowerPoint, SharePoint, Teams
Strong analytical skills
Please note at this time we are unable to proceed with candidates who require visa sponsorship now or in the future.
Location and Workplace Flexibility
We have offices in Atlanta GA, Boston MA, Morristown NJ, Plano TX, St. Louis MO, St. Petersburg FL, and Hyderabad, India. We foster a hybrid and remote friendly culture, and all our employee's work locations are based on the needs of the position and determined by the Leadership team. In-office work and activities, if applicable, vary based on the work and team objectives in accordance with Company policies.
Base Salary Range
$59,000.00 - $79,000.00At Zelis we are committed to providing fair and equitable compensation packages. The base salary range allows us to make an offer that considers multiple individualized factors, including experience, education, qualifications, as well as job-related and industry-related knowledge and skills, etc. Base pay is just one part of our Total Rewards package, which may also include discretionary bonus plans, commissions, or other incentives depending on the role.
Zelis' full-time associates are eligible for a highly competitive benefits package as well, which demonstrates our commitment to our employees' health, well-being, and financial protection. The US-based benefits include a 401k plan with employer match, flexible paid time off, holidays, parental leaves, life and disability insurance, and health benefits including medical, dental, vision, and prescription drug coverage.
Equal Employment Opportunity
Zelis is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
We welcome applicants from all backgrounds and encourage you to apply even if you don't meet 100% of the qualifications for the role. We believe in the value of diverse perspectives and experiences and are committed to building an inclusive workplace for all.
Accessibility Support
We are dedicated to ensuring our application process is accessible to all candidates. If you are a qualified individual with a disability or a disabled veteran and require a reasonable accommodation with any part of the application and/or interview process, please email
Disclaimer
We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities, duties, and skills from time to time.