Clinical Data Manager Jobs
Clinical Data Manager jobs are open across pharmaceutical, biotech, medical device, and contract research organizations, from entry-level data coordinator to senior and principal levels, with specializations in oncology trials, EDC system management, and regulatory submissions. Find a role that fits below and apply directly.
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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
Clinical Data Manager Jobs by Experience Level
See All 235+ Clinical Data Manager Jobs
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Find Clinical Data Manager JobsClinical Data Manager Job Market
Who's Hiring
- CVS Health18
- Gilead Sciences9
- AbbVie7
- Amazon7
- Medpace5
Top Industries Hiring
- Biotechnology & Pharmaceuticals18
- Education9
- Healthcare & Medical Services9
- Consulting & Professional Services6
- Insurance4
What Employers Look For
The qualifications that appear most often in clinical data manager jobs.
- Bachelor's degree in life sciences, health informatics, or a related field
- Hands-on experience with EDC platforms such as Medidata Rave or Veeva Vault
- Proficiency in developing and maintaining data management plans for clinical trials
- Knowledge of CDISC standards including CDASH and SDTM data models
- Experience with database lock procedures, discrepancy management, and SAE reconciliation
- SCDM Good Clinical Data Management Practice certification preferred for senior roles
Tips for Your Clinical Data Manager Job Search
Tailor your resume to EDC systems
Hiring managers scan for named platforms like Medidata Rave, Oracle Clinical, or Veeva Vault. List every EDC and CTMS you have hands-on experience with, including version or module if relevant. Burying those names deep in a job description kills your chances.
Apply early to roles that fit
Migrate Mate lists clinical data manager openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter by therapeutic area to target openings
Oncology, rare disease, and neurology trials each use distinct data collection standards and oversight requirements. Searching by therapeutic area rather than job title alone surfaces postings that match your actual protocol experience, making your application far more competitive.
Quantify your data validation outcomes
Replace vague bullets like 'managed database lock' with specifics: number of studies, timelines hit, or discrepancy resolution rates you achieved. Reviewers weigh concrete data quality metrics heavily when comparing candidates at the same seniority level.
Prepare a protocol walk-through for interviews
Clinical data manager interviews frequently include a scenario where you walk through how you would set up a data management plan for a given protocol. Practice articulating your edit check logic, SAE reconciliation approach, and database lock process out loud before the call.
Negotiate scope before accepting a title
Two job offers with identical titles can differ dramatically in study portfolio size, sponsor complexity, and cross-functional authority. Ask directly how many studies you own at once and whether the role owns DMP authorship, so you compare the actual jobs, not just the titles.
Clinical Data Manager Jobs: Frequently Asked Questions
Which companies are hiring the most clinical data managers?
CVS Health, Gilead Sciences, and AbbVie are hiring the most clinical data managers right now, with openings concentrated in California, New Jersey, and New York, based on current listings on Migrate Mate as of September 2026. Contract research organizations and large pharmaceutical sponsors consistently post the highest volume of openings across seniority levels.
How many clinical data manager jobs are remote?
About 77% of clinical data manager openings are fully remote or hybrid as of September 2026, making it one of the more remote-accessible roles in clinical operations. Positions focused on EDC system oversight, data review, and DMP authorship are the most likely to be offered with full location flexibility, while on-site study startup roles are less commonly remote.
How do you become a clinical data manager?
Start with a degree in life sciences, health informatics, nursing, or a related field, then gain hands-on experience as a clinical data coordinator or data entry associate on sponsored trials. Build proficiency in at least one major EDC platform, learn CDISC data standards, and pursue SCDM certification once you have direct data management experience. Moving into a manager role typically requires demonstrated ownership of a full study data management plan from protocol setup through database lock.
Can you get a clinical data manager job with little experience?
Yes, but you need to position your entry strategically. Employers hiring junior clinical data managers prioritize hands-on exposure to clinical trial data, even from a coordinator or data entry role, over years of experience. Completing a CDISC fundamentals course, getting certified in a widely used EDC platform, and applying to CROs that run large trial portfolios and promote from within gives you the most realistic path into a first manager-level role.
What does the clinical data manager interview process look like?
Most interview processes include an initial recruiter screen focused on EDC experience and study type background, followed by a technical interview with a data management lead or director covering your DMP development process, edit check logic, and database lock procedures. A final round often involves a panel with cross-functional stakeholders from biostatistics or clinical operations and may include a scenario-based exercise where you walk through how you would set up data management for a described protocol.
Where can I find and apply to clinical data manager jobs?
You can find and apply to clinical data manager jobs on Migrate Mate, which lists current openings from across the United States in one place. Find roles that match your experience level and therapeutic area focus, then apply directly to each listing that fits.
See All 235+ Clinical Data Manager Jobs
Find roles that match your experience and apply in just a few clicks.
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