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Senior Data Engineer - Clinical Trials (Pharma)

Sintesys North America - Servicenow And Nearshore Specialists

Teletrabalho

BRL 150.000 - 200.000

Tempo integral

Hoje
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Resumo da oferta

A specialized data solutions provider is hiring a Senior Data Engineer for remote work to support clinical trial projects. The role requires over 5 years of experience in data engineering, with mandatory clinical trial experience. The candidate must be skilled in AWS, SQL, and Python, and familiar with CTMS, EDC, and regulated data standards. This position offers the opportunity to work with various stakeholders in a critical healthcare environment.

Qualificações

  • 5+ years as a Data Engineer.
  • Experience in pharma/clinical trials is mandatory.
  • Hands-on with CTMS, EDC, eTMF.
  • Familiar with CDISC / SDTM and regulated data standards.

Responsabilidades

  • Design and maintain data pipelines for clinical trial data.
  • Integrate data from CTMS, EDC, and eTMF systems.
  • Support analytics and reporting in regulated (GxP) environments.
  • Collaborate with clinical operations, biostatistics, and IT teams.

Conhecimentos

Data Engineering
Clinical Trial Experience
AWS (Glue, Airflow, Athena, EMR)
SQL
Python
Databricks / Spark
Descrição da oferta de emprego

🚨 We’re Hiring | Senior Data Engineer – Clinical Trials (Pharma) 🚨

🌎 Remote | Nearshore | LATAM

We’re looking for a Senior Data Engineer with hands‑on experience in clinical trials and pharmaceutical data environments to support ongoing and upcoming projects.

This is a domain‑specific role — strong cloud skills are required, but clinical trial experience is mandatory.

🔬 What You’ll Work On
  • Designing and maintaining data pipelines for clinical trial data
  • Integrating data from CTMS, EDC, and eTMF systems
  • Supporting analytics and reporting in regulated (GxP) environments
  • Collaborating with clinical operations, biostatistics, and IT teams
🧠 Required Experience
  • ✅ 5+ years as a Data Engineer
  • ✅ Experience in pharma / clinical trials (this is a must)
  • ✅ Hands‑on with CTMS, EDC, eTMF
  • ✅ Strong AWS experience (Glue, Airflow, Athena, EMR)
  • ✅ Databricks / Spark , SQL, Python
  • ✅ Familiarity with CDISC / SDTM and regulated data standards
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