Data Engineer (Hybrid)

Role: Data Engineer focused on designing scalable data pipelines to enhance clinical development and R&D at AbbVie. Responsibilities: collaborate with statisticians, data scientists, and IT to develop and maintain architectures supporting modeling, simulation, and analytics; build data products for transformation, metadata extraction, and operational quality; implement automated data quality controls; contribute to tool discovery and pipeline improvement while ensuring compliance with GxP, GCP, and regulatory standards. Requirements: MS or PhD in a quantitative field; 2-3 years of experience in data solution development, with at least 1 year in AI frameworks like LangGraph or LangChain; proficiency in programming languages such as Python or Java; experience with Big Data, MDM tools, SQL. Preferred qualifications include AWS experience, data visualization skills (R Shiny, Plotly), and biotech/pharma industry background. HighValue: focus on clinical R&D data pipelines, AI/ML frameworks, cloud platforms (AWS), and regulatory compliance within a biopharma context. Collaboration with internal stakeholders and deployment support with IT are key. Work setup details are not specified.