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Clinical Data Management Jobs in Florida (NOW HIRING)

Exactech

$57.75 - $74.25/hr

Assess and determine governance, stewardship, and frameworks for managing clinical data across the organization in collaboration with the Director of Application Development & Integration. * Develop ...

Evolution Research Group

Data Entry Coordinator

Miami, FL · On-site

$18 - $22/hr

  • Medical

  • Dental

  • Retirement

  • PTO

Responsible for clinical data processing as directed by Site Director or another assigned manager. Quality control the clinical data to ensure the data quality and report discrepancies to the ...

Evolution Research Group

Data Entry Coordinator

Miami, FL · On-site

$18 - $22/hr

  • Medical

  • Dental

  • Retirement

  • PTO

Responsible for clinical data processing as directed by Site Director or another assigned manager. Quality control the clinical data to ensure the data quality and report discrepancies to the ...

Galatea Bio, Inc.

Clinical Data and Project Manager

Miami, FL · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... data deposition rates. What you bring: * At least 5 years of clinical research coordination ... Strong planning and project management skills, with a natural ability to influence collaboration

Evolution Research Group

Data Entry Coordinator (PRN)

Miami, FL · On-site

$18 - $22/hr

  • Medical

  • Dental

  • Retirement

  • PTO

Responsible for clinical data processing as directed by Site Director or another assigned manager. Quality control the clinical data to ensure the data quality and report discrepancies to the ...

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Clinical Data Management information

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$14

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How much do clinical data management jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for clinical data management 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 is clinical data management?

Clinical data management (CDM) is a critical process in clinical research that involves collecting, cleaning, and managing data generated during clinical trials. The goal is to ensure that the data is accurate, reliable, and compliant with regulatory standards. CDM professionals work closely with researchers, statisticians, and regulatory bodies to validate data and ensure its integrity throughout the study. This process helps in making informed decisions about the safety and efficacy of new drugs or treatments.

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

One of the common challenges in Clinical Data Management is ensuring data accuracy and consistency across multiple sources and formats. This often involves resolving discrepancies and managing large volumes of data within tight timelines. Effective communication with clinical research associates, statisticians, and IT teams is crucial to address data queries promptly and maintain data integrity. Staying updated with regulatory requirements and leveraging advanced data management systems can also help mitigate these challenges and improve overall workflow efficiency.

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

AspectClinical Data ManagementClinical Data Coordinator
ResponsibilitiesDesigning data collection processes, database setup, data validation, and ensuring data quality for clinical trials.Collecting, reviewing, and entering clinical trial data, ensuring accuracy and completeness.
Required SkillsKnowledge of data management systems, clinical trial processes, and data validation techniques.Attention to detail, data entry skills, familiarity with clinical trial documentation.
Work EnvironmentTypically in clinical research organizations, pharmaceutical companies, or CROs.Often within clinical sites or research teams supporting data collection activities.

While both roles focus on clinical trial data, Clinical Data Management involves designing and overseeing data systems and ensuring data integrity, whereas Clinical Data Coordinators handle the day-to-day data collection and entry tasks. Both are essential for successful clinical research but differ in scope and responsibilities.

What are the key skills and qualifications needed to thrive in clinical data management?

To thrive in Clinical Data Management, you need a strong background in life sciences, attention to detail, and understanding of clinical trial processes, often supported by a relevant degree. Familiarity with industry-standard data management systems such as Medidata Rave or Oracle Clinical, as well as knowledge of CDISC standards and regulatory requirements, is essential. Excellent organizational skills, communication, and problem-solving abilities help ensure data integrity and effective cross-functional collaboration. These skills and qualities are crucial for ensuring high-quality, compliant data that supports clinical research and regulatory submissions.

How do I become a clinical data manager?

To become a clinical data manager, typically a bachelor's degree in life sciences, health informatics, or a related field is required. Relevant skills include knowledge of clinical trial processes, data management tools like EDC systems, and attention to detail; certifications such as CDMP can enhance job prospects. Gaining experience through internships or entry-level roles in clinical research is also beneficial.

What are the most commonly searched types of Clinical Data Management jobs in Florida?

The most popular types of Clinical Data Management jobs in Florida are:

What are popular job titles related to Clinical Data Management jobs in Florida?

For Clinical Data Management jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Clinical Data Management jobs in Florida look for?

The top searched job categories for Clinical Data Management jobs in Florida are:

What cities in Florida are hiring for Clinical Data Management jobs?

Cities in Florida with the most Clinical Data Management job openings:

Clinical Data Management jobs near you
Infographic showing various Clinical Data Management job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% 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 21 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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