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Clinical Data Jobs in Florida (NOW HIRING)

Exactech

$57.75 - $74.25/hr

Establish an overall clinical data infrastructure roadmap and implementation plan, while collaborating with key stakeholders * Gather and review business requirements and processes, conduct in-person ...

Alcanza Clinical Research

Description Alcanza is a growing multi-site, multi-phase clinical research company with a network ... Join us as we continue to grow, the Data Entry Coordinator works to ensure the execution of ...

Evolution Research Group

Data Entry Coordinator

Miami, FL · On-site

$18 - $22/hr

S. and deep expertise in clinical pharmacology, psychiatry, neurology, acute pain, and metabolic ... As a Data Entry Coordinator, you will be responsible for the overall coordination, organization ...

Evolution Research Group

Data Entry Coordinator

Miami, FL · On-site

$18 - $22/hr

S. and deep expertise in clinical pharmacology, psychiatry, neurology, acute pain, and metabolic ... As a Data Entry Coordinator, you will be responsible for the overall coordination, organization ...

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All JobsClinical Data JobsClinical Data Jobs in Florida

Clinical Data information

See Florida salary details

$14

$42

$61

How much do clinical data jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for clinical data in Florida is $42.72, according to ZipRecruiter salary data. Most workers in this role earn between $33.75 and $50.82 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a clinical data specialist, and why are they important?

To thrive as a Clinical Data Specialist, you need a solid background in life sciences, data management principles, and familiarity with regulatory guidelines, often supported by a relevant degree. Proficiency in clinical data management systems (CDMS), electronic data capture (EDC) tools, and knowledge of standards like CDISC or MedDRA is typically required. Strong attention to detail, analytical thinking, and effective communication skills are crucial soft skills for this role. These competencies ensure the accuracy and integrity of clinical trial data, supporting regulatory compliance and reliable outcomes in clinical research.

What is clinical data?

Clinical data refers to information collected during the course of ongoing patient care or as part of a clinical trial program. This data includes patient demographics, medical history, lab results, imaging studies, treatment plans, and outcomes. Clinical data is crucial for informing medical decisions, improving patient care, and supporting medical research and drug development. It is typically collected and managed by healthcare providers, researchers, and data professionals while maintaining strict standards for patient privacy and data security.

What is the difference between Clinical Data vs Clinical Data Coordinator?

AspectClinical DataClinical Data Coordinator
CredentialsTypically requires a degree in health informatics, life sciences, or related fieldRequires similar credentials, often with additional certification in clinical research or data management
Work EnvironmentData analysis, database management, and reporting in healthcare or research settingsOversees data collection, entry, and quality control in clinical trial or healthcare environments
Employer & Industry UsageUsed across hospitals, research institutions, and pharmaceutical companiesCommonly employed in clinical research organizations and hospitals

While both roles involve handling clinical data, Clinical Data professionals focus on data analysis and management, whereas Clinical Data Coordinators oversee data collection and quality assurance in clinical trials or healthcare settings.

What are some common challenges faced by professionals working in clinical data roles, and how can they be addressed?

Professionals in Clinical Data roles often encounter challenges such as managing large volumes of complex data, ensuring data quality and integrity, and adhering to strict regulatory standards. These challenges can be addressed by staying updated on industry best practices, utilizing advanced data management tools, and working closely with cross-functional teams such as clinical research and regulatory affairs. Continuous professional development and effective communication within the team are also key to overcoming these hurdles and ensuring successful clinical trial outcomes.
What are the most commonly searched types of Clinical Data jobs in Florida? The most popular types of Clinical Data jobs in Florida are:
What cities in Florida are hiring for Clinical Data jobs? Cities in Florida with the most Clinical Data job openings:
Clinical Data jobs near you
Infographic showing various Clinical Data job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $88,860 per year, or $42.7 per hour.

Clinical Data Enablement Senior Manager

Siro Clinpharm Pvt Ltd

Mexico Beach, FL • On-site

Other

Posted 16 days ago

Job description

Greetings !

Job Summary

The Clinical Data Enablement Senior Manager (FSP) is responsible for designing, implementing, operating, and continuously improving end-to-end clinical data pipelines across cloud-based data lake and data warehouse environments. This role ensures the reliable, secure, and compliant delivery of clinical data products by developing scalable data engineering solutions, automating data integration processes, and collaborating with internal stakeholders, external vendors, and downstream consumers. The position plays a key role in maintaining operational excellence while adhering to GxP and regulatory requirements.

Key Responsibilities
  • Design, develop, maintain, monitor, and optimize end-to-end clinical data pipelines across cloud-based data lake and data warehouse platforms.
  • Build scalable ETL/ELT frameworks for clinical data ingestion, transformation, orchestration, and delivery using AWS or Azure cloud technologies.
  • Automate data integration processes, workflow scheduling, metadata-driven pipelines, and data quality validations to improve operational efficiency.
  • Monitor production pipelines, perform incident management, conduct root cause analysis, and implement corrective and preventive actions.
  • Collaborate with internal business teams, external vendors, and technology partners to define data transfer specifications, integration standards, and acceptance criteria.
  • Support structured and unstructured clinical data integration while ensuring data accuracy, consistency, and traceability.
  • Partner with Statistical Programming, Clinical Data Programming, SDTM, and Analytics teams to deliver high-quality, fit-for-purpose datasets.
  • Develop and maintain operational dashboards and KPI reports to monitor pipeline health, data quality, processing success rates, and service performance.
  • Ensure timely delivery of clinical data products while managing SLAs and operational performance metrics.
  • Design GxP-compliant data engineering solutions with complete lifecycle documentation, audit trails, and validation evidence.
  • Implement ALCOA+ data integrity principles, change control processes, incident documentation, and inspection readiness activities.
  • Collaborate with Quality, Compliance, IT, and business stakeholders to implement security controls, access management, logging, and audit capabilities.
  • Mentor junior engineers and promote engineering best practices, continuous improvement, and knowledge sharing across teams.
Required Qualifications
  • Bachelor''s degree in Computer Science, Information Technology, Engineering, Life Sciences, or a related discipline.
  • 7+ years of experience in data engineering, clinical data integration, ETL/ELT development, or cloud data platform operations, preferably within the pharmaceutical, biotechnology, or CRO industry.
  • Strong programming skills in Python (preferred), SQL, and working knowledge of R.
  • Experience with AWS or Azure cloud services, including technologies such as EC2, EMR, RDS, Redshift, Apache Spark, Snowflake, and Databricks.
  • Hands-on experience designing and supporting data lake and data warehouse solutions.
  • Knowledge of REST APIs, JSON, XML, CSV, NoSQL databases, and file-based data integrations.
  • Experience with GitHub/GitLab, CI/CD pipelines, SDLC methodologies, Jira, and Confluence.
  • Familiarity with Power BI, Tableau, or QlikView for operational reporting and dashboard development.
  • Knowledge of clinical data standards including CDISC, CDASH, and SDTM.
  • Experience working within GxP-regulated environments, including data integrity, change control, validation, and audit readiness.

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