
Senior Clinical Data Engineer
Posted Jul 18

Posted Jul 18
This is a fully remote position, open to applicants in South Africa.
• Lead and execute Data Receipt Agreements with vendors through collaborative efforts across various functions.
• Program and set up import procedures for data ingestion utilizing SAS, Workbench, or other technologies.
• Design and implement reconciliation checks to ensure the precision of data transfer.
• Program offline listings and tailor reports to deliver actionable insights.
• Consolidate data from multiple sources and manage external data efficiently.
• Address missing values, raw data files, data structures, and operations involving SAS datasets.
• Review and assess data outputs to provide insights to study teams and clients.
• Ensure first-time quality in all deliverables.
• Manage electronic data timelines and collaborate with project teams.
• Lead programming teams to achieve successful study completion within established timelines and budget.
• Deploy and oversee data management technologies (Workbench, SAS, R, etc.).
• Maintain thorough study documentation in line with SOPs, guidelines, and work instructions.
• Ensure traceability and compliance with regulatory requirements across all activities.
• Document deviations and communicate these to project teams.
• Engage in the development of standards through tools (SAS macros, libraries, processes).
• Create and implement project-specific tools and templates.
• Enhance efficiencies through standardized project structures and naming conventions.
• Support business development initiatives and participate in bid defense meetings.
• Bachelor's degree (or equivalent) in a relevant scientific discipline.
• Proficiency in at least one programming language (SQL, SAS, or R).
• Strong analytical and problem-solving capabilities.
• Ability to make informed decisions in uncertain situations.
• Understanding of Clinical Research Standards (CRS) concepts.
• Capability for root cause analysis.
• Proficiency in at least one of the following: SQL, SAS, or R.
• Knowledge of SOPs, guidelines, work instructions, system life cycle methodologies, ICH-GCP, and applicable regulations (e.g., 21 CFR Part 11).
• Demonstrated practical application of regulatory and compliance frameworks.
• Experience with at least two systems used for aggregating data in clinical trials (e.g., SAS, Workbench, Elluminate).
• Strong background in the clinical research industry or a related field.
• N/A
Heinsohn
Live Nation Entertainment
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