Remote Clinical Data Analyst Jobs
Remote clinical data analyst jobs are open across the U.S. at remote-first firms, distributed clinical research organizations, and health technology companies that run fully distributed teams. Employers hiring remotely right now include innoVet Health, Baptist Health South Florida, and Tendo, with openings concentrated in pharmaceutical, biotech, and healthcare sectors. Find a role that fits below and apply directly.
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Showing 5 of 17+ Remote Clinical Data Analyst jobs
Job Summary
InnoVet Health is seeking a Lead Data Analyst to support high-priority clinical informatics, interoperability, and analytics modernization initiatives for the U.S. Department of Veterans Affairs (VA). This role supports enterprise efforts related to EHR modernization, standards-based interoperability, clinical workflow optimization, and data-driven decision-making across Agile delivery environments.
The Lead Data Analyst will serve as a primary authority for healthcare analytics, reporting, and data integration activities supporting clinical and operational transformation initiatives. The ideal candidate will bring experience working with VA clinical systems, healthcare interoperability standards, enterprise data platforms, and cross-functional Agile teams to deliver actionable insights that improve Veteran care, usability, and operational performance.
This is a full-time, remote position with competitive pay, comprehensive benefits, and significant growth potential. You will have the chance to make a meaningful impact while enjoying the flexibility of working from home.
If you're ready to take your career to the next level in the federal sector, we'd love to hear from you. Please send your resume and interest to hr@innovethealth.com.
Responsibilities:
- Serve as the primary authority for data analysis and reporting across Agile integration, interoperability, and clinical informatics initiatives.
- Responsible for designing and maintaining data pipelines, performing advanced analytics, and ensuring data integrity for clinical and operational decision-making.
- Supports integration of multiple health IT systems, validates data migration fidelity, and provides actionable insights to program leadership.
- Support standards-based interoperability and data harmonization activities involving HL7, FHIR, SNOMED CT, LOINC, and enterprise healthcare data exchange.
- Support PI Planning activities through backlog analytics, reporting cadence tracking, dependency visibility, and Agile delivery metrics.
Qualifications:
- Demonstrated expertise in:
- Agile environments (e.g., supporting PI Planning, backlog analytics, velocity metrics);
- Data Visualization tools (e.g., Power BI, Tableau) and ETL processes
- Clinical Systems (e.g., VA VistA/CPRS, Oracle Health/Cerner Millennium) and terminology mapping
- Strong background in SQL, Python/R, and data governance for HIPAA-compliant environments.
- Must be U.S. citizen and eligible for VA clearance.
- Role aligns with PWS tasks for data migration fidelity, interoperability validation, and Agile reporting cadence.
- Bachelor's degree in data science, Computer Science, Health Informatics, Statistics, or a related field.
- 8+ years of professional experience in data analytics or health informatics.
- 5+ years working with healthcare data standards (HL7, FHIR, SNOMED, LOINC) and interoperability.
Preferred Qualifications:
- Certifications such as Certified Health Data Analyst (CHDA) or Certified ScrumMaster (CSM)
- Master's degree in health informatics, Data Analytics, or Public Health
- Experience with enterprise analytics and cloud-based data platforms (e.g., Azure Databricks, SQL Server, Power BI, Tableau)
Job Type: Full-time
Pay: From $145,000.00 per year
Benefits:
- 401(k)
- 401(k) matching
- Dental insurance
- Health insurance
- Paid time off
- Referral program
- Vision insurance
Application Question(s):
- This position works with government contracts. Under Order 11935, either U.S. Citizenship or valid permanent residency is required. Answer 2 if you are a US citizen, 1 if you have a permanent resident card.
- Please provide the link to your LinkedIn account.
- How many years of experience do you have working on federal contracts?
- Which clinical systems do you have experience with?
Education:
- Bachelor's (Required)
Experience:
- healthcare data : 3 years (Required)
- Agile: 3 years (Preferred)
- ETL: 3 years (Preferred)
- Python: 3 years (Required)
- Data visualization: 3 years (Required)
Work Location: Remote
Job Summary
InnoVet Health is seeking a Lead Data Analyst to support high-priority clinical informatics, interoperability, and analytics modernization initiatives for the U.S. Department of Veterans Affairs (VA). This role supports enterprise efforts related to EHR modernization, standards-based interoperability, clinical workflow optimization, and data-driven decision-making across Agile delivery environments.
The Lead Data Analyst will serve as a primary authority for healthcare analytics, reporting, and data integration activities supporting clinical and operational transformation initiatives. The ideal candidate will bring experience working with VA clinical systems, healthcare interoperability standards, enterprise data platforms, and cross-functional Agile teams to deliver actionable insights that improve Veteran care, usability, and operational performance.
This is a full-time, remote position with competitive pay, comprehensive benefits, and significant growth potential. You will have the chance to make a meaningful impact while enjoying the flexibility of working from home.
If you're ready to take your career to the next level in the federal sector, we'd love to hear from you. Please send your resume and interest to hr@innovethealth.com.
Responsibilities:
- Serve as the primary authority for data analysis and reporting across Agile integration, interoperability, and clinical informatics initiatives.
- Responsible for designing and maintaining data pipelines, performing advanced analytics, and ensuring data integrity for clinical and operational decision-making.
- Supports integration of multiple health IT systems, validates data migration fidelity, and provides actionable insights to program leadership.
- Support standards-based interoperability and data harmonization activities involving HL7, FHIR, SNOMED CT, LOINC, and enterprise healthcare data exchange.
- Support PI Planning activities through backlog analytics, reporting cadence tracking, dependency visibility, and Agile delivery metrics.
Qualifications:
- Demonstrated expertise in:
- Agile environments (e.g., supporting PI Planning, backlog analytics, velocity metrics);
- Data Visualization tools (e.g., Power BI, Tableau) and ETL processes
- Clinical Systems (e.g., VA VistA/CPRS, Oracle Health/Cerner Millennium) and terminology mapping
- Strong background in SQL, Python/R, and data governance for HIPAA-compliant environments.
- Must be U.S. citizen and eligible for VA clearance.
- Role aligns with PWS tasks for data migration fidelity, interoperability validation, and Agile reporting cadence.
- Bachelor's degree in data science, Computer Science, Health Informatics, Statistics, or a related field.
- 8+ years of professional experience in data analytics or health informatics.
- 5+ years working with healthcare data standards (HL7, FHIR, SNOMED, LOINC) and interoperability.
Preferred Qualifications:
- Certifications such as Certified Health Data Analyst (CHDA) or Certified ScrumMaster (CSM)
- Master's degree in health informatics, Data Analytics, or Public Health
- Experience with enterprise analytics and cloud-based data platforms (e.g., Azure Databricks, SQL Server, Power BI, Tableau)
Job Type: Full-time
Pay: From $145,000.00 per year
Benefits:
- 401(k)
- 401(k) matching
- Dental insurance
- Health insurance
- Paid time off
- Referral program
- Vision insurance
Application Question(s):
- This position works with government contracts. Under Order 11935, either U.S. Citizenship or valid permanent residency is required. Answer 2 if you are a US citizen, 1 if you have a permanent resident card.
- Please provide the link to your LinkedIn account.
- How many years of experience do you have working on federal contracts?
- Which clinical systems do you have experience with?
Education:
- Bachelor's (Required)
Experience:
- healthcare data : 3 years (Required)
- Agile: 3 years (Preferred)
- ETL: 3 years (Preferred)
- Python: 3 years (Required)
- Data visualization: 3 years (Required)
Work Location: Remote
See All 17 Remote Clinical Data Analyst Jobs
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Find JobsRemote Clinical Data Analyst Job Market
Who's Hiring
Top Industries Hiring
- Healthcare & Medical Services
What Employers Look For
The qualifications that appear most often in remote clinical data analyst jobs.
- Bachelor's degree in life sciences, statistics, health informatics, or a related field
- Experience with clinical data management systems such as Medidata Rave, Oracle Clinical, or Veeva Vault
- Proficiency in SAS or SQL for data querying, cleaning, and validation
- Knowledge of CDISC standards including CDASH, SDTM, and ADaM
- Familiarity with ICH E6 Good Clinical Practice guidelines and regulatory submission requirements
- Experience writing or reviewing data validation plans, edit checks, or data management plans
Tips for Your Remote Clinical Data Analyst Job Search
Apply early to remote roles that fit
Migrate Mate lists remote clinical data analyst openings from across the U.S. in one place, so you can find roles that match your skills and apply directly. Remote postings at distributed clinical teams fill fast, so applying early matters.
Show async communication in your application
Remote clinical data analyst teams rely on written handoffs and asynchronous updates. Highlight experience writing data queries, issue logs, or analysis summaries that others could act on without a live walkthrough. A clear writing sample from real work signals readiness for distributed teams.
Build a portfolio around clinical datasets
Remote employers can't observe your process in person, so a portfolio does that work for you. Annotated SAS programs, cleaned SDTM datasets from public trial data, or a documented discrepancy resolution workflow give hiring managers something concrete to evaluate before an interview.
Name your EDC and standards experience explicitly
Remote job postings for clinical data analysts almost always screen for specific tools: Medidata Rave, Oracle Clinical, Veeva Vault, or Inform. List each platform and your CDISC standards exposure, including SDTM, ADaM, and CDASH, clearly in your resume so automated screening and reviewers both catch it quickly.
Remote Clinical Data Analyst Jobs: Frequently Asked Questions
How do I get a remote clinical data analyst job?
Remote clinical data analyst roles go to candidates who can demonstrate self-direction and strong written communication alongside technical skills. Remote hiring teams screen for proficiency in SAS, R, or Python, experience with EDC systems like Medidata Rave or Oracle Clinical, and the ability to document and communicate findings clearly without in-person support. A portfolio showing clean, well-annotated analysis work gives you a concrete edge over equally qualified candidates.
Which companies hire remote clinical data analysts?
Companies hiring remote clinical data analysts right now include innoVet Health, Baptist Health South Florida, and Tendo, based on current remote listings on Migrate Mate as of September 2026. Remote openings for this role are most common at contract research organizations, health technology companies, and pharmaceutical firms that operate distributed clinical teams.
Can you get a remote clinical data analyst job with no experience?
Yes, but remote entry-level clinical data analyst roles are harder to land because employers expect you to troubleshoot independently from day one. Smaller contract research organizations and health IT startups are more likely to hire entry-level candidates remotely. Completing a clinical data management certification, building sample datasets from public clinical trial data, and showing comfort with EDC platforms can substitute meaningfully for direct work experience.
Do you need a degree for remote clinical data analyst jobs?
Not always. Most remote employers prefer a background in life sciences, statistics, or health informatics, but demonstrated proficiency in clinical data tools carries real weight. Candidates who show hands-on experience with SAS or R, familiarity with CDISC standards like SDTM and ADaM, and a portfolio of clean analysis work regularly compete with degree holders for remote roles.
Which industries hire the most remote clinical data analysts?
Remote clinical data analyst roles concentrate in Healthcare & Medical Services, based on current remote listings on Migrate Mate as of September 2026. These sectors hire clinical data analysts remotely because their research and trial operations are distributed across multiple sites and time zones by design.
See All 17 Remote Clinical Data Analyst Jobs
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