Agentic AI, Data Engineer COA Accelerator
IQVIA · 7 Locations · Global
Clinical Data Science
–
Not yet analysed
Demand78
Career growth80
Healthcare fit32
Remote potential55
5-year outlook
Data engineering and agentic AI skills are in strong demand across health-tech and CRO organizations, so compensation should track competitive technical market rates and grow with AI platform experience. Exact figures cannot be inferred from this posting.
Clinical license
Not required
Applicant reach
narrow
Seniority
unclear
Employment type
–
Date found
2026-09-28
Intelligence details
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Sign in to startWhy this is worth applying to
Worth considering only if you have real data engineering or ML engineering experience alongside your healthcare background — the title signals a technical build role, not a clinical-adjacent bridge role. Clinicians without coding and pipeline experience should likely skip it.
Who should apply
Clinician-engineers (MD/RN/PharmD with CS or data science training), healthcare graduates with strong Python/SQL and cloud data engineering portfolios, and clinical informatics professionals who have shipped LLM or agent-based data products.
CV angle
Lead with technical delivery: data pipelines built, languages and cloud platforms used, and any LLM/agent frameworks shipped. Then layer in healthcare domain credibility — clinical trial data standards (CDISC/SDTM), COA/PRO instruments, real-world data, and regulated data handling (GxP, HIPAA) — to show you understand the data's clinical meaning, not just the code.
Skills to highlight
- Python and SQL for data engineering
- ETL/ELT pipeline design and orchestration
- LLM and agentic AI frameworks
- Cloud data platforms (AWS/Azure/GCP)
- Clinical trial data standards (CDISC, SDTM, COA/PRO instruments)
- Healthcare data governance and privacy (HIPAA, GxP)
- Data modeling and quality validation
- Stakeholder communication with clinical and product teams
Role summary
A data engineering position at IQVIA focused on building agentic AI capabilities for clinical outcome assessment (COA) data — likely involving data pipelines, LLM/agent tooling, and clinical trial or real-world data infrastructure. The posting contains no detail beyond the title and company.
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