Senior Clinical Data Engineer – Remote (South Africa)We're looking for a skilled data engineering professional passionate about clinical research to join our Global Data Operations team.
In this pivotal role you will leverage your technical expertise to support clinical trials, serve as an internal subject‐matter expert, and lead cross‐functional projects with sponsors and data management teams.ResponsibilitiesWork independently and collaboratively to manage electronic data, eClinical technologies, and systems while ensuring quality and regulatory compliance.Mentor team members and drive process improvements across the organization.Lead and implement Data Receipt Agreements with vendors through cross‐functional collaboration.Program and configure import procedures for data ingestion using SAS, Workbench, or alternative technologies.Design and execute reconciliation checks to ensure accurate data transfer.Program offline listings and custom reports to provide actionable insights.Aggregate data across multiple sources and manage external data effectively.Handle missing values, raw data files, data structures, and SAS dataset operations.Review and analyze data outputs to provide insights to study teams and clients.Ensure first‐time quality on all deliverables.Manage electronic data timelines and coordinate with project teams.Lead programming teams to successful study completion within timelines and budget.Deploy and manage data‐management technology (Workbench, SAS, R, etc.).
Maintain comprehensive study documentation in accordance with SOPs, guidelines, and work instructions.Ensure traceability and regulatory compliance across all activities.Document deviations and communicate them to project teams.Participate in creating standards through tools (SAS macros, libraries, processes).
Develop and implement project‐specific tools and templates.Improve efficiencies through standardized project structures and naming conventions.Support business development and bid defense meetings.QualificationsBachelor's degree (or equivalent) in a relevant science discipline.Proficiency in 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).
Experience applying regulatory and compliance frameworks in a practical setting.Experience working with at least two systems used to aggregate data in clinical trials (e.g., SAS, Workbench, Elluminate).
Strong background in the clinical research industry.Strong analytical and problem‐solving skills.Able to make informed decisions in ambiguous situations.Application of Clinical Research Standards (CRS) concepts.Root cause analysis capability.Fluent written and oral English.
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