Data Engineer (Hybrid)

Role: Data Engineer focused on designing and building scalable data pipelines to support clinical development, modeling, and simulation initiatives at AbbVie. Responsibilities include collaborating with statisticians and data scientists to enable streamlined data flow, developing architectures like databases and large-scale processing systems, and creating automated processes for data transformation, quality control, and reporting. The role involves leveraging cloud and AI tools, modern frameworks like LangGraph and LangChain, and working closely with IT for deployment needs. Qualifications: MS or PhD in a quantitative field with 2-3 years of experience, including at least 1 year building AI-driven data solutions and proficiency in programming languages such as Python, Java, or Scala. Experience with Big Data management, SQL, and MDM tools is required; AWS and data visualization experience (e.g., R Shiny, Plotly Dash) are preferred. High-Value: emphasis on AI frameworks, cloud-based data solutions, biopharma experience especially in clinical data, and collaboration with cross-functional teams in a fast-paced environment. Work setup is unspecified, but collaboration indicates potential hybrid or office presence.