Build core researchOS capabilities that automate study setup, execution, and ongoing operations—reducing manual effort and increasing scalability. Design and implement intelligent systems that manage complex study protocols, data flows, and operational workflows end to end. Collaborate with product, data, and research teams to translate scientific and operational requirements into robust, extensible platform features. Contribute to architectural decisions that make researchOS flexible, reliable, and ready to support hundreds of concurrent studies. Champion engineering excellence, driving best practices, maintainability, and a strong culture of technical rigor and collaboration.