Clinical Data Analyst Jobs
Clinical Data Analyst jobs are open across pharmaceutical, biotech, clinical research, and health systems sectors, at every level from entry-level to senior and lead, with specializations in clinical trials data management, real-world evidence, and regulatory submissions. Find a role that fits from the openings below and apply directly.
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- Posted: July 31, 2026
- Full-Time
- Remote
Miami, FL 33146, USA
- Pay or shift range: $120,000 USD to $135,000 USD
The estimated range is the budgeted amount for this position. Final offers are based on various factors, including skill set, experience, location, qualifications and other job-related reasons.
Job Details
Description
Company Overview: Health Network One (HN1) partners with health plans and providers to modernize how specialty care is delivered and managed, reducing complexity, driving better performance, and improving lives.
With over 30 years of experience, Health Network One advances care in several unique specialties: Vision, Therapy, Dermatology, and Sleep. By curating specialty networks and credentialing providers who meet rigorous access and quality standards, we bring together value-based models and clinical expertise to ensure providers thrive, payers succeed, and members receive the high-quality care they deserve.
Position Summary
Health Plan Clinical Analyst and Data Scientist drives enterprise clinical performance strategy by overseeing analytics, regulatory reporting frameworks, and operational intelligence that support clinical, care and utilization management, and quality initiatives. This role translates complex healthcare data into executive-level insights, leads cross-functional analytics efforts, and ensures alignment between clinical operations, compliance priorities, and organizational strategy.
Serving as an analytics partner to clinical leadership, this role provides subject-matter expertise in utilization trends, clinical performance, and quality measurement while advancing scalable reporting infrastructure that improves outcomes and regulatory readiness.
Key Responsibilities
- Clinical Analytics Leadership
Lead the design, development, and optimization of enterprise clinical performance dashboards (e.g., utilization, care management effectiveness, access metrics, and quality performance).
Development of recurring and adhoc analytics using SQL, Excel, and Power BI.
Translate complex clinical datasets into strategic recommendations for executive leadership, operational teams, and quality stakeholders.
Establish data validation standards and ensure accuracy, completeness, and integrity across reporting environments.
Serve as a senior subject-matter expert for clinical analytics methodologies, performance measurement, and reporting best practices.
- Stakeholder Partnership & Strategic Influence
Partner with clinical and operational leadership to define KPIs aligned with enterprise performance goals.
Lead cross-functional collaboration with IT, data engineering, operations, and quality teams to improve data architecture and reporting accessibility.
Present insights and narratives to senior stakeholders in clear, decision-ready formats.
Guide prioritization of analytics initiatives supporting organizational strategy and regulatory requirements.
Mentor junior analysts and strengthen analytics capabilities across teams.
- Regulatory, Accreditation & Quality Analytics
Partner with Compliance and clinical stakeholders to support state, federal and health plan reporting requirements, including NCQA, CMS, JOC.
Development of performance metrics used in audits, accreditation readiness, and compliance monitoring.
Support enterprise readiness for regulatory reviews through proactive analytics monitoring and documentation.
- Continuous Improvement & Analytics Governance
Drive automation of manual reporting workflows and implementation of scalable reporting solutions.
Establish documentation standards, reporting governance processes, and analytics best practices.
Lead initiatives to modernize clinical reporting infrastructure and improve enterprise data usability.
Identify opportunities to leverage analytics for performance optimization and cost-of-care improvement.
Education & Experience
Bachelor’s degree (or equivalent experience) in public health, data analytics, health informatics, business, or a related field.
5+ years of experience with advanced proficiency in SQL, Excel, and Power BI
3+ years of experience working with healthcare plan datasets, including claims, utilization management/prior authorization, care management, and quality measures.
Strong understanding of clinical workflows, utilization and network management analytics, and healthcare economics.
Demonstrated ability to translate complex analytics into executive-level insights and operational recommendations.
Excellent stakeholder engagement, communication, and strategic problem-solving skills.
Self-starter with the ability to manage multiple priorities independently.
Preferred Qualifications
Experience mentoring analysts and leading analytics workstreams or initiatives.
Experience with data science tools and programming languages such as Python or R
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
Clinical Data Analyst Jobs by Experience Level
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Find Clinical Data Analyst JobsClinical Data Analyst Job Market
Who's Hiring
- CVS Health19

- Capital One16

- Information Technology Senior Management Forum10
- TRAX International7

- BNY4

Top Industries Hiring
- Technology & Software
- Healthcare & Medical Services
- Banking & Financial Services
- Consulting & Professional Services
- Education
What Employers Look For
The qualifications that appear most often in 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 Clinical Data Analyst Job Search
Tailor your resume to therapeutic areas
Hiring managers scan for the therapeutic area first. If you've worked in oncology, cardiovascular, or rare disease trials, call that out near the top of your resume so it's visible before they read your tools list.
Certify in SAS or clinical data tools
Many postings filter candidates by SAS certification or CCDM credential. If you're between certifications, list the tools you've used in production, such as Medidata Rave or Oracle Clinical, and the trial phases you supported.
Apply early to roles that fit
Migrate Mate lists clinical data analyst openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Highlight CDISC standards experience clearly
CDASH and SDTM experience consistently separates shortlisted candidates from the rest. Don't bury it in a skills grid. Write one concrete sentence in your experience section that names the submission or study where you applied those standards.
Prepare a data discrepancy walkthrough story
Interviewers almost always ask how you handle a query cycle or a protocol deviation. Have a specific example ready that names the type of discrepancy, the stakeholders involved, and the resolution outcome without disclosing protected study data.
Negotiate using scope, not title alone
When following up on an offer, frame your ask around the complexity of the studies you'll support, the number of vendors you'll coordinate, and whether the role includes regulatory submission responsibilities, not just the job title tier.
Clinical Data Analyst Jobs: Frequently Asked Questions
Which companies are hiring the most clinical data analysts?
The companies hiring the most clinical data analysts right now include CVS Health, Capital One, and Information Technology Senior Management Forum, with the largest share of openings in Virginia, California, and New York, based on current listings on Migrate Mate as of August 2026. Contract research organizations and large pharmaceutical companies tend to post the most consistent volume throughout the year.
How many clinical data analyst jobs are remote?
About 77% of clinical data analyst openings are fully remote or hybrid as of August 2026, reflecting how much of the role relies on accessing cloud-based data management platforms rather than on-site lab systems. Roles focused on data review, query management, and CDISC mapping are the most likely to be offered remotely, while those tied to site monitoring or hands-on trial operations tend to require more on-site presence.
How do you become a clinical data analyst?
Start with a degree in life sciences, health informatics, statistics, or a related field. Build hands-on experience with a clinical data management system and learn CDISC standards through coursework or an entry-level contract role. Getting familiar with SAS or SQL strengthens your technical profile. Many people enter through data entry or clinical research coordinator positions before moving into a dedicated clinical data analyst role.
Can you get a clinical data analyst job with little experience?
Yes, entry-level clinical data analyst roles do exist, particularly at contract research organizations that hire for data entry, query resolution, or data cleaning tasks on active trials. Highlighting any exposure to clinical trial protocols, electronic data capture systems, or GCP training makes your application more competitive. A certification in clinical data management or completing an internship through a university research office can substitute for direct industry experience early in your career.
What does the clinical data analyst interview process look like?
Most hiring processes include a recruiter screen followed by a technical interview where you'll walk through your experience with data management systems, CDISC standards, and how you handle data discrepancies or protocol deviations. A second round typically involves a hiring manager or cross-functional panel asking scenario-based questions. Some employers add a short practical exercise, such as reviewing a mock data listing or identifying errors in a sample edit check specification.
Where can I find and apply to clinical data analyst jobs?
You can find and apply to clinical data analyst jobs on Migrate Mate, which lists current openings from across the United States in one place. Search the listings to find roles that match your experience level, therapeutic area background, and preferred location or remote arrangement, then apply directly to each listing that fits.
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