Computational drug discovery and materials modeling platform
Schrödinger operates a computational chemistry platform serving pharma, biotech, and materials researchers globally. The tech stack—GCP, AWS, Azure, Python, Kafka, Kubernetes, Hadoop, Spark—reflects a cloud-native, data-intensive architecture built for simulation workloads. Hiring is sales-dominated (28 open roles vs. 8 engineering), with active projects centered on product deployment, customer integration, and go-to-market expansion, indicating a shift from pure R&D toward enterprise deployment and renewals.
Schrödinger develops a computational platform for accelerating drug discovery and materials research, used by biopharmaceutical companies, academic institutions, and government labs across more than 70 countries. The company combines its platform business—offering molecular modeling, informatics, and design applications—with wholly-owned and collaborative drug discovery programs across multiple therapeutic areas. Operations span North America, Europe, and Asia (active hiring in Canada, Peru, France, Germany, United Kingdom, and India). Current initiatives focus on integrating the platform across global R&D sites, expanding the software module portfolio, and optimizing cloud performance and adoption at enterprise scale.
Cloud infrastructure (GCP, AWS, Azure), Python, Kafka, Kubernetes, Hadoop, Apache Spark for data processing, and security tools (Wiz, Orca Security, Prisma Cloud). Testing includes Selenium and Locust.
Product integration across R&D sites, platform deployment and customer integration, go-to-market strategy for new software modules, and drug discovery programs. Current challenges include high-impact software adoption and enterprise cloud performance optimization.
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