Remote EDC Data Solutions Specialist

Remote Jobs; United States; Remote; USD 90,000 - 130,000; Full time

Benefits offered by this job

Fully remote

Flexible schedule

Annual leave

Sick days paid

Job summary

Remote Jobs is seeking an EDC Data Solution Specialist (Data Manager) to bridge data, systems, and clinical research. You will translate study requirements into practical EDC solutions, from study protocols to building eCRFs and validating rules.

You will learn our EDC platform, configure study databases, test solutions, and support data throughout the study lifecycle. A strong analytical mindset and interest in data workflows are valued.

Qualifications

• University degree in Computer Science, Life Sciences, Medical Sciences, or a related field.
• Experience with data, software systems, system implementation/configuration, business or system analysis, or other structured technical processes.
• Comfortable working with data structures, validation logic, data quality, and data flows.

Responsibilities

• Review study protocols and translate requirements into electronic case report forms (eCRFs) and system configurations.
• Build, configure, test, and maintain clinical study databases in the EDC system.
• Configure forms, edit checks, validation rules, workflows, and study-specific functionality.
• Test configured solutions and verify data collection and processing per study requirements.
• Create and maintain database specifications, validation guidelines, and other study documentation.
• Investigate data discrepancies and support query generation and resolution.
• Import, verify, and reconcile laboratory, safety, and other external study data.

Job description

Remote Jobs is seeking an EDC Data Solution Specialist (Data Manager) to bridge data, systems, and clinical research. You will translate study requirements into practical EDC solutions, from study protocols to building eCRFs and validating rules.

You will learn our EDC platform, configure study databases, test solutions, and support data throughout the study lifecycle. A strong analytical mindset and interest in data workflows are valued.