Build and maintain secure data pipelines and integrations across business platforms, laboratory systems, analytical instruments, and messy data sources. Own schema design, orchestration, monitoring, quality controls, documentation, and compliant data isolation for export-controlled information. Create a unified lakehouse foundation supporting analytics, dashboards, machine learning, R&D, manufacturing, and operations. Partner with scientists and technical teams to integrate HPLC, GC, Invert Bio, APIs, spreadsheets, PDFs, and semi-structured records.

Builds production-grade AI tools, molecule discovery applications, process digital twins, and full-stack internal software. Partners with laboratory scientists and infrastructure engineers to integrate scientific data, automate workflows, and support chemical production scale-up. Responsibilities include backend services, APIs, data access layers, user interfaces, secure deployment, testing, documentation, and auditability in a regulated environment.