Data Engineer: Scalable Clinical Data Pipelines & AI

Allergan; Florham Park (NJ); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Comprehensive benefits

Employee wellness programs

Job summary

AbbVie is seeking a Data Engineer to design and build scalable data-pipelines for initiatives like agentic trail design and modeling & simulation. You will work to unleash AbbVie's data assets by delivering fit-for-purpose data and modeling solutions and collaborating with statisticians, data scientists, and business teams.

The role involves partnering with IT to enable necessary technology tools, while applying modern cloud-based and AI tooling to produce reusable capabilities and robust data

Qualifications

• MS or PhD in statistics, mathematics, computer science or other quantitative disciplines with 2-3 years of experience.
• 1+ year experience within building production-grade data solutions using modern AI frameworks such as LangGraph, LangChain, Strands Agents, etc.
• Experience with one or more general purpose programming languages, including but not limited to: Java, Python, Scala, C, C++, C#, Swift/Objective C, or JavaScript.
• Experience with Big Data Management, Master Data Management tools & SQL

Responsibilities

• Collaborates with Statisticians & Data Scientists to enable streamlined data flow for the Data Science and Analytics capabilities across clinical development.
• Develop, construct, test and maintain architectures (such as databases and large-scale process systems) to support Modeling & Analytics projects with in Clinical Development.
• Build data products and service processes which perform data transformation, metadata extraction, workload management and error processing management
• Implement standardized, automated operational and quality control processes to deliver accurate and timely data and reporting
• Adhere to best practices for coding, testing and designing reusable code/component
• Contribute to the discovery and understanding of new tools, and techniques and propose improvements to the data pipeline
• Develop data set processes for data modeling, mining and production
• Ensures adherence to federal regulations and applicable local regulations, Good Clinical Practices (GCPs), ICH Guidelines, AbbVie SOPs, and to functional quality standards

Skills

Quantitative background

Python

Java/Scala

Big Data / SQL

Education

MS/PhD in statistics or computer science

Tools

LangGraph

LangChain

Strands Agents

Python

Java

Job description

AbbVie is seeking a Data Engineer to design and build scalable data-pipelines for initiatives like agentic trail design and modeling & simulation. You will work to unleash AbbVie's data assets by delivering fit-for-purpose data and modeling solutions and collaborating with statisticians, data scientists, and business teams.

The role involves partnering with IT to enable necessary technology tools, while applying modern cloud-based and AI tooling to produce reusable capabilities and robust data