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Associate Clinical Data Manager Jobs in Georgia (NOW HIRING)

The Sr. Clinical Data Manager is responsible for data management operations and for the organization, coordination and execution of data management activities for assigned studies and projects. This ...

The Sr. Clinical Data Manager is responsible for data management operations and for the organization, coordination and execution of data management activities for assigned studies and projects. This ...

Lead data management for complex, global clinical trials from study setup to database lock. * Serve as the main client contact for all data management deliverables. * Oversee SAE, PK, and external ...

Lead data management for complex, global clinical trials from study setup to database lock. * Serve as the main client contact for all data management deliverables. * Oversee SAE, PK, and external ...

You, as the Product Manager, will play a critical role in turning complex clinical and claims data into insights that help providers improve transitions of care, reduce readmissions, and deliver ...

Mgr, Database Management Systems Designs or modifies data models to solve complex database ... Essential Functions Clinical Data Standards & Operational Mapping * Participate in the development ...

Mgr, Database Management Systems Designs or modifies data models to solve complex database ... Essential Functions Clinical Data Standards & Operational Mapping * Participate in the development ...

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Associate Clinical Data Manager information

See Georgia salary details

$11

$32

$73

How much do associate clinical data manager jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for associate clinical data manager in Georgia is $32.89, according to ZipRecruiter salary data. Most workers in this role earn between $24.76 and $32.88 per hour, depending on experience, location, and employer.

What does an Associate Clinical Data Manager do?

An Associate Clinical Data Manager is responsible for collecting, cleaning, and managing clinical trial data to ensure its accuracy, integrity, and compliance with regulatory standards. They work closely with clinical teams to design data collection tools, monitor data quality, and resolve discrepancies. Their work is crucial in supporting the analysis and reporting of clinical trial results, which can impact decisions about new medical treatments.

What are the key skills and qualifications needed to thrive as an Associate Clinical Data Manager, and why are they important?

To thrive as an Associate Clinical Data Manager, you need a solid background in life sciences or related fields, strong analytical abilities, and attention to detail, often supported by a relevant bachelor's degree. Familiarity with clinical data management systems (CDMS), electronic data capture (EDC) tools like Medidata Rave, and an understanding of regulatory guidelines such as ICH-GCP are typically required. Excellent organizational skills, effective communication, and problem-solving abilities help you excel in managing complex datasets and collaborating across teams. These skills ensure data integrity, regulatory compliance, and smooth conduct of clinical trials, which are critical to successful drug development.

What are some common challenges an Associate Clinical Data Manager might face when working on multi-site clinical trials?

Associate Clinical Data Managers often encounter challenges such as ensuring data consistency across different trial sites and managing discrepancies that arise from varying data entry practices. Coordinating with site staff, monitoring data quality, and adhering to strict timelines require strong communication and organizational skills. Additionally, adapting to evolving regulatory requirements and new data management technologies can be demanding, but these challenges also offer valuable learning opportunities for career growth.
What are the most commonly searched types of Clinical Data Manager jobs in Georgia? The most popular types of Clinical Data Manager jobs in Georgia are:
What are popular job titles related to Associate Clinical Data Manager jobs in Georgia? For Associate Clinical Data Manager jobs in Georgia, the most frequently searched job titles are:
Infographic showing various Associate Clinical Data Manager job openings in Georgia as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 25% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $68,412 per year, or $32.9 per hour.
Sr. Clinical Data Manager

Sr. Clinical Data Manager

Artivion

Kennesaw, GA • On-site

Full-time

Posted 10 days ago


Artivion rating

8.7

Company rating: 8.7 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

Company Overview:

Headquartered in suburban Atlanta, Georgia, Artivion, Inc. is a medical device company focused on developing simple, elegant solutions that address cardiac and vascular surgeons’ most difficult challenges in treating patients with aortic diseases. Artivion’s four major groups of products include: aortic stent grafts, surgical sealants, On-X mechanical heart valves, and implantable cardiac and vascular human tissues. Artivion has over 1,600 employees worldwide with sales representation in over 100 countries. The Company has manufacturing facilities located in Atlanta, Georgia, Austin, Texas and Hechingen, Germany. Additionally, it has sales and distribution offices in various countries throughout Europe, Asia, and South America. For additional information about Artivion, visit our website, www.artivion.com. 

Position Overview: 

The Sr. Clinical Data Manager is responsible for data management operations and for the organization, coordination and execution of data management activities for assigned studies and projects. This includes but is not limited to database set-up (build, develop, and perform user acceptance testing), development of study documents, training, data review, query generation and resolution, and overall maintenance of study databases to ensure data integrity from study start-up to database lock. This also includes data support for department projects, and inquiries, unrelated to clinical studies.

Responsibilities: 

  • Lead, manage, execute end-to-end data management activities for clinical trials conducted inhouse or outsourced to CRO’s.
  • Develop and maintain Data Management Plans (DMPs), CRFs, edit check specifications, and other essential documents.
  • Oversee database build.
  • Testing, validation, and UAT processes in EDC systems
  • Ensure timely and high-quality data collection, cleaning, reconciliation, and database lock activities.
  • Collaborate cross-functionally with Clinical Operations, Biostatistics, Regulatory Affairs, QA, and external CROs/vendors. 
  • Ensure data integrity and compliance with GCP, FDA, MDR/IVDR, and other applicable regulatory standards.
  • Participate in and contribute to protocol development, case report form design, and data flow diagrams.
  • Conduct and oversee data reconciliation, external data integrations (labs, imaging, etc.), and coding of medical terms (MedDRA, WHO-DD).
  • Provide study specific reports and data listings on regular basis and for ad-hoc requests
  • Support audit readiness and participate in regulatory inspections when required.
  • Mentor junior team members and provide strategic input into department process improvements and SOP development.

Qualifications:

Required:

  • Bachelor's or Master’s degree in Life Sciences, Data Science, Computer Science, or a related field.
  • 7+ years of clinical data management experience, with at least 2 years in a senior or lead role.
  • Experience with medical device trials or combination products (IDE, PMA, 510(k), CE marking, etc.).
  • Strong understanding of EDC systems and data standards (CDASH, SDTM, CDISC).
  • Knowledge of regulatory requirements (FDA, EMA, ISO 14155, GCP, GDPR).
  • Excellent organizational, leadership, and communication skills.

Preferred:

  • Experience working in an FDA-regulated and/or ISO-certified environment.
  • Advanced proficiency in data visualization tools and data analytics platforms (such as Python and/or R) is a plus.

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