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Sr. Clinical Data Manager

Role overview

Summary

The Sr. Clinical Data Manager is responsible for overseeing data management operations for clinical studies at Artivion. This role ensures data integrity and compliance with regulatory standards while collaborating with various departments to support clinical trials and related projects.

Qualifications

  • 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).

Responsibilities

  • Lead, manage, execute end-to-end data management activities for clinical trials conducted inhouse or outsourced to CROs.
  • 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.
  • Collaborate cross-functionally with Clinical Operations, Biostatistics, Regulatory Affairs, QA, and external CROs/vendors.

Key facts

  • Remote from: United States
  • Full time
  • Senior (5-10 years)
  • Clinical Data Manager
  • English

Hard skills

Other skills

  • Organizational Skills
  • Leadership
  • Communication

About the company

Artivion, Inc. logo

Artivion, Inc.

  • Medical Devices
  • 1,001–5,000
Artivion is a leader in the manufacturing, processing, and distribution of medical devices and implantable tissues used in cardiac and vascular surgical procedures focused on aortic repair. Our purpose is to develop simple, elegant solutions that address cardiac and vascular surgeons’ most difficult challenges in treating patients with diseases of the aorta and deliver breakthrough technologies of unsurpassed quality that have far-reaching impact. Our decades of expertise in treating aortic diseases—coupled with our recent acquisitions and partnerships—have empowered us to offer cardiac and vascular surgeons a suite of aortic-centric solutions such as cryopreserved cardiac and vascular allografts, surgical sealants, prosthetic heart valves, and aortic stents and stent-grafts. Artivion has over 1,250 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.

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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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