Remote Lead Clinical Data Engineer

Parexel International

South Africa

Remote

ZAR 600,000 - 900,000

Full time

14 days+
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Job summary

Parexel International is seeking a Principal Clinical Data Engineer in a fully remote role for candidates based in South Africa. You will lead complex data projects, liaising with sponsors and cross-functional teams, and act as SME for data management platforms.

The role focuses on aggregating data from multiple sources, implementing data standards, and driving operational efficiencies while ensuring regulatory compliance and continuous improvement.

Qualifications

  • Bachelor's degree or equivalent in a relevant science discipline.
  • Strong background in clinical research industry.
  • Programming proficiency in SQL, SAS, or R.
  • Experience with clinical data systems (e.g., SAS, Workbench, Elluminate).
  • Regulatory knowledge incl. SOPs, Guidelines, ICH-GCP, 21 CFR Part 11.

Responsibilities

  • Lead and implement Data Receipt Agreements with vendors in collaboration with cross-functional teams.
  • Program and establish data ingestion procedures using SAS or Workbench.
  • Design reconciliation checks to ensure accurate data transfer.
  • Program offline listings and custom reports for insights on external data.
  • Aggregate data across sources and manage data structures, missing values, and errors.
  • Review data outputs and provide strategic insights to study teams and clients.
  • Ensure first-time quality on all deliverables and manage timelines/budget.

Skills

SQL
SAS
R
Data Management
Regulatory Knowledge
English Communication

Education

Bachelor's degree in a relevant science

Tools

SAS Workbench
Elluminate

Job description

Parexel International is seeking a Principal Clinical Data Engineer in a fully remote role for candidates based in South Africa. You will lead complex data projects, liaising with sponsors and cross-functional teams, and act as SME for data management platforms.

The role focuses on aggregating data from multiple sources, implementing data standards, and driving operational efficiencies while ensuring regulatory compliance and continuous improvement.

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