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Clinical Data Manager Jobs in Florida (NOW HIRING)

Data Entry Coordinator

Miami, FL ยท On-site

$18 - $22/hr

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 ...

Data Entry Coordinator

Miami, FL ยท On-site

$18 - $22/hr

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 ...

Define, implement, and manage a robust data ontology to ensure the standardization, appropriate use, and secure sharing of test data originating from varying sources. * Provide expertise to guide ...

$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 ...

Managing data entry into computer systems for clinical trials, including entering patient data into eDC and other software * Reviewing patient charts and other medical records to ensure data is ...

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Clinical Data Manager information

See Florida salary details

$14

$42

$61

How much do clinical data manager jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for clinical data manager 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 some common challenges clinical data managers face when working on multi-site clinical trials?

Clinical Data Managers often encounter challenges such as ensuring data consistency across different sites, managing large volumes of complex data, and coordinating with site staff to resolve discrepancies. They must also stay up-to-date with regulatory requirements and ensure timely data cleaning and database lock. Effective communication and strong organizational skills are essential to navigate these complexities and maintain high data quality throughout the study.

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

To thrive as a Clinical Data Manager, you need a solid understanding of clinical research processes, data management principles, and a degree in life sciences, computer science, or related fields. Expertise with clinical data management systems (CDMS), electronic data capture (EDC) tools, and familiarity with regulatory standards like CDISC and GCP are typically required. Attention to detail, problem-solving abilities, and effective communication distinguish top performers in this role. These skills ensure accurate, compliant data handling and seamless collaboration across clinical research teams, which are critical for successful clinical trial outcomes.

What does a clinical data manager do?

A Clinical Data Manager is responsible for collecting, validating, and managing data from clinical trials to ensure its accuracy, integrity, and compliance with regulatory standards. They design data collection systems, oversee database development, and collaborate with clinical research teams to resolve data discrepancies. By ensuring high-quality data, Clinical Data Managers play a vital role in the success of clinical trials and the development of new medical treatments.

What does a clinical data manager do?

A clinical data manager handles all the data needs of clinical trials for biotechnology and pharmaceutical companies. As a clinical data manager, your responsibilities include the research and storage of data related to clinical trials and programs. Your job duties are to collect, process, and analyze data. You must routinely evaluate your data collection and analysis processes to ensure that results are accurate and valid. You must also ensure that your work is in compliance with ethical research standards and regulations from organizations like the Food and Drug Administration (FDA).

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 Manager jobs?

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

Infographic showing various Clinical Data Manager job openings in Florida as of August 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, and 40% 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 โ€ข On-site

Other

Posted 23 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.