Data Engineer - AI-Driven Clinical Data Pipelines

Allergan; North Chicago (IL); On-site; USD 120,000 - 160,000; Full time

Job summary

AbbVie seeks a Data Engineer to design scalable data pipelines across initiatives like agentic trail design and digital twins. You will use modern cloud-based and AI tools to translate data into actionable insights, collaborating with statisticians, data scientists, and IT to deploy solutions.

The role emphasizes building architectures, automated data quality controls, and contributing to reusable data capabilities in a regulated biopharma environment.

Qualifications

• MS or PhD in statistics, mathematics, computer science or other quantitative disciplines with 2-3 years of experience.
• 1+ year experience building production-grade data solutions using modern AI frameworks.

Responsibilities

• Collaborates with Statisticians & Data Scientists to enable streamlined data flow across clinical development.
• Develops, constructs, tests and maintains architectures to support Modeling & Analytics in Clinical Development.
• Builds data products and services for data transformation and metadata extraction.
• Implements automated operational and quality control processes for accurate data and reporting.
• Adheres to coding standards and designs reusable components.
• Proposes improvements to data pipelines and tools.
• Develops datasets for data modeling, mining and production.
• Ensures compliance with GCP, SOPs and regulatory guidelines.

Skills

Java

Python

Scala

C

C++

C#

Swift

JavaScript

Education

MS or PhD in statistics/CS

Tools

LangGraph

LangChain

Strands Agents

Job description

AbbVie seeks a Data Engineer to design scalable data pipelines across initiatives like agentic trail design and digital twins. You will use modern cloud-based and AI tools to translate data into actionable insights, collaborating with statisticians, data scientists, and IT to deploy solutions.

The role emphasizes building architectures, automated data quality controls, and contributing to reusable data capabilities in a regulated biopharma environment.