Boehringer Ingelheim

Build and operate reliable digital platforms, applications, and integrations that support scientific research and R&D laboratories. This role combines software development, cloud-native solutions, data integration, automation, and application lifecycle support in a cross-functional environment.

Senior Software Developer responsible for hands-on development, software architecture, and technical leadership across research software solutions. The role also drives AI-enabled development practices and builds sustainable internal engineering capabilities.

Build and evolve AWS cloud infrastructure powering machine learning research, training, deployment, and operations for Boehringer Ingelheim’s AI Accelerator. This early-stage role combines cloud platform engineering, MLOps enablement, automation, and reliability.

Senior Data Engineer roles on the AI Enablement team will build production-grade pipelines that integrate medical imaging, multi-omics, clinical, and health-record data for biomedical AI. The work supports model training, fine-tuning, and inference while ensuring strong governance and controlled data access.

Lead the operation, security, automation, and evolution of a large enterprise Snowflake data platform across global environments. This role combines deep Snowflake expertise with AWS platform engineering, observability, automation, and technical consulting.

Principal Software Engineer building and operating cloud-native data platform capabilities on AWS and Snowflake. The role combines software engineering, event-driven integration, platform automation, observability, and AI-assisted development to support enterprise-scale data and AI initiatives.

Build and operate scalable data products and pipelines that power analytics, decision-making, and improved patient outcomes across a modern enterprise data ecosystem. This Staff Data Engineer role combines cloud data engineering, governance, quality, and platform operationalization in a regulated pharmaceutical environment.

Build a production-ready scientific application that predicts and explains infrared spectroscopy assignments for pharmaceutical solids. This co-op combines Python scientific computing, cheminformatics, machine learning, reproducible pipelines, and automated reporting.