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Clinical Programmer Jobs in Miami, FL (NOW HIRING)

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Clinical Programmer information

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$23

$61

$98

How much do clinical programmer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for clinical programmer in Miami, FL is $61.85, according to ZipRecruiter salary data. Most workers in this role earn between $51.20 and $70.00 per hour, depending on experience, location, and employer.

What is a clinical programmer?

Clinical programmers are professionals who design, develop, and maintain computer programs used to manage and analyze clinical trial data in the pharmaceutical and biotech industries. They work closely with data managers, statisticians, and clinical teams to ensure data accuracy and regulatory compliance. Their responsibilities often include writing programs for data cleaning, statistical analysis, and generating reports using tools like SAS or R. Clinical programmers play a key role in ensuring that clinical trial data is processed efficiently and meets industry standards.

What are the key skills and qualifications needed to thrive as a clinical programmer?

To thrive as a Clinical Programmer, you need strong proficiency in programming languages like SAS or R, a solid understanding of clinical trial processes, and typically a degree in life sciences, computer science, or a related field. Expertise with clinical data management systems (CDMS), electronic data capture (EDC) tools, and CDISC standards such as SDTM and ADaM is often required. Attention to detail, problem-solving ability, and effective communication are vital soft skills for ensuring data accuracy and collaborating with cross-functional teams. Mastery of these skills ensures the integrity and reliability of clinical trial data, supporting regulatory compliance and successful study outcomes.

How does a clinical programmer typically collaborate with biostatisticians and data managers during a clinical trial?

Clinical Programmers work closely with biostatisticians and data managers throughout the clinical trial process. They are responsible for programming data listings, tables, and figures based on statistical analysis plans provided by biostatisticians. Collaboration involves ensuring data integrity, resolving data discrepancies, and implementing database validation checks, often through regular meetings and shared documentation. This teamwork is essential for maintaining data quality and meeting regulatory requirements, making strong communication and coordination skills important in the role.

What is the difference between Clinical Programmer vs Data Manager?

AspectClinical ProgrammerData Manager
Required CredentialsBachelor's degree in life sciences, computer science, or related field; programming skills in SAS, R, or SQLBachelor's degree in health sciences, statistics, or related field; experience with data management software
Work EnvironmentCollaborates with statisticians, data managers, and clinical teams to develop and validate data reportsOversees data collection, validation, and database management for clinical trials
Employer & Industry UsagePharmaceutical companies, CROs, biotech firmsPharmaceutical companies, CROs, clinical research organizations

While both Clinical Programmers and Data Managers work within clinical research, Clinical Programmers primarily focus on developing data reports and programming analysis datasets, whereas Data Managers handle data collection, validation, and database management. Both roles require strong analytical skills and familiarity with clinical data standards, often working closely together to ensure data quality and integrity in clinical trials.

What are popular job titles related to Clinical Programmer jobs in Miami, FL?

For Clinical Programmer jobs in Miami, FL, the most frequently searched job titles are:

What job categories do people searching Clinical Programmer jobs in Miami, FL look for?

The top searched job categories for Clinical Programmer jobs in Miami, FL are:

Clinical Programmer jobs near you
Infographic showing various Clinical Programmer job openings in Miami, FL as of August 2026, with employment types broken down into 3% As Needed, 72% Full Time, 17% Part Time, and 8% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $128,656 per year, or $61.9 per hour.

Health Plan Clinical Analyst and Data Scientist

Health Network One

Miami, FL • On-site

Full-time

Posted 21 days ago

Job 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.

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