Senior Clinical Data Engineer

Parexel

Senior Clinical Data Engineer leading data management for clinical trials at Parexel. Collaborating with cross-functional teams to ensure quality and compliance in data processing.

Posted 7/9/2026full-timeRemote • 🇿🇦 South AfricaSeniorWebsite

Tech Stack

Tools & technologies

Google Cloud PlatformSQL

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

Bachelor's degree (or equivalent) in a relevant science discipline
Proficiency in at least one programming language (SQL, SAS, or R)
Strong analytical and problem-solving skills
Ability to make informed decisions in ambiguous situations
Application of Clinical Research Standards (CRS) concepts
Root cause analysis capability
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)
Proven practical application of regulatory and compliance frameworks
Experience working with at least two systems used to aggregate data in clinical trials (e.g., SAS, Workbench, Elluminate)
Strong background in clinical research industry or similar field

Benefits

Comp & perks

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Hard Skills & Tools

Data Receipt AgreementsData Ingestion ProceduresReconciliation ChecksData AggregationSAS Dataset OperationsRoot Cause AnalysisClinical Research StandardsRegulatory Framework ApplicationData AnalysisProject-Specific Tool Development

Soft Skills

Analytical SkillsProblem-Solving SkillsDecision-Making AbilityCross-Functional CollaborationCommunication Skills