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Clinical Data Systems Specialist

Job in Huntsville, Madison County, Alabama, 35824, USA
Listing for: Heart Rhythm Clinical Research Solutions
Full Time position
Listed on 2026-02-12
Job specializations:
  • IT/Tech
    Data Analyst, Database Administrator
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

About Heart Rhythm Clinical Research Solutions

We bring science, data, and collaboration together in a single, full‑service CRO model powered by real‑world evidence (RWE). By combining deep cardiovascular expertise, an engaged and diverse network of physicians, and close client partnerships, we transform data into evidence that fuels innovation and leads to better care. Our growing network of experts and institutions powers every project we deliver — enabling collaboration, scalability, and measurable results.

Cardiovascular Specialists: 270+

Signed Data Sharing Agreements: 100+

New Sites per Month: 3+

Countries represented: 4

About

The Role

The Clinical Data Systems Associate is an early‑career, hybrid clinical–technical role designed for individuals who can bridge clinical data workflows with technology, systems thinking, and hands‑on software validation. This position supports the development, maintenance, and continuous improvement of our proprietary Electronic Data Capture (EDC) platform, used across medical device clinical trials.

Success in this role requires foundational clinical research experience, an aptitude for database and system logic, and the curiosity and adaptability to partner across Data Management and Software Development. This is not an entry‑level role, but rather a growth‑oriented opportunity for candidates who have established a foothold in clinical data or clinical technology and want to deepen both.

What You'll DoSystem Support & Troubleshooting
  • Identify, document, and triage system issues or user‑reported bugs in the in‑house EDC platform.
  • Support the implementation and verification of fixes and enhancements with Software Development.
  • Perform initial root‑cause analysis for Azure‑based issues before escalating.
Clinical Data Workflow Support
  • Translate Data Management needs into actionable tickets, requirements, or feature requests.
  • Support form testing, CRF logic verification, and data query workflows.
  • Assist data managers in day‑to‑day use of the system to ensure accuracy and efficiency.
Documentation & Testing
  • Create and execute test scripts as part of system validation and release cycles.
  • Maintain accurate system documentation, user guides, and training resources.
  • Log issues, enhancements, and validation activities in alignment with QA processes.
Cross‑Functional Collaboration
  • Participate in regular Software–DM syncs to stay aligned on priorities and release plans.
  • Deliver user training and frontline support for clinical study teams.
  • Serve as a liaison between operational users and the technical team.
Qualifications
  • Bachelor’s degree in Life Sciences, Computer Science, Health Informatics, or related field.
Required Experience
  • 1–3 years in clinical data management, clinical systems support, clinical research technology, or software QA within a clinical research environment.
  • Exposure to EDC platforms (REDCap, Medidata, Open Clinica, or homegrown).
  • Familiarity with Microsoft Azure tools (Azure SQL, Azure Dev Ops, Functions).
Required Skills
  • Understanding of FDA 21 CFR Part 11, ICH‑GCP, and clinical data documentation standards.
  • Basic understanding of relational databases and structured data (SQL a plus).
  • Strong communication, documentation discipline, and cross‑team collaboration abilities.
  • High attention to detail and strong organization in a fast‑moving environment.
  • Ability to perform User Acceptance Testing (UAT) to ensure new features and fixes meet intended requirements.
Preferred Qualifications
  • Prior experience with software testing, QA processes, or system validation
  • Experience collaborating with both technical and clinical teams.
  • Experience with clinical workflow analysis or system optimization work.
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