Summary

• Data engineering + analytics role supporting feasibility decisions with high-quality, reconciled datasets, pipelines, and dashboards.
• Builds and maintains Palantir Foundry/AWS data flows, transforms multi-source inputs into decision-ready outputs (country/site ranking, patient density, competitive landscape).
  

Key Responsibilities

• Ingest, profile, cleanse, deduplicate, and harmonize site/patient and performance datasets; enforce data lineage and QA controls.
• Design robust transformations in SQL/Python/PySpark; implement unit tests and reproducible code practices.
• Build pipelines in Palantir Foundry (Contour/Code Workbook) or AWS (S3/Glue/Lambda) with governance and versioning.
• Develop standardized KPIs and visuals (country evaluation, ranking, growth vs. prior periods) for feasibility packs.
• Automate recurring reports/trackers using advanced Excel and/or BI; maintain documentation and runbooks.
• Partner with COPM/Feasibility Strategy to align analytics output to business questions; present findings to non-technical audiences

Required Qualifications

• Bachelor’s in Computer Science/IT/Statistics/Engineering/Life Sciences (with strong analytics).
• 3–6+ years in data analytics/data engineering within healthcare/clinical research
• Proficiency in SQL and Python (PySpark preferred); advanced Excel (pivots, complex formulas, macros).
• Experience with Palantir Foundry or AWS data stack; familiarity with data governance and reproducibility.

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com