Darum lohnt es sich
The Opportunity Bridge the gap between complex software engineering and laboratory research in drug discovery through the following responsibilities: Build the Framework: Design and deploy robust, cross‑vendor frameworks for integrating with automated systems and workcells in labs Partner with Scientists: Collaborate directly with end‑users and product managers to rapidly iterate and translate complex needs into technical solutions Span the Stack: Apply best practices in distributed systems and data engineering, contributing across the technology stack wherever needed Senior Scope: Act as a key contributor by owning significant components of the framework and providing technical guidance to the team Principal Scope: Drive the technical roadmap for the core automation control and data frameworks, ensuring alignment with the strategic needs of our drug discovery organizations Who You Are You are a driven engineer who thrives at the intersection of software design and scientific innovation, meeting the following minimum criteria: Hold at least a B.S. in Computer Science, Engineering, or a related field, with 4+ years of experience as a backend, data, or product engineer Strong passion for software engineering with expert‑level proficiency in Python and/or Java, and deep expertise in cloud‑native architectures (ideally AWS) and distributed systems Passionate about continuous engagement with end‑users and interested in modern trends such as AI‑assisted coding and front‑end development with TypeScript/JavaScript Skilled communicator capable of building trusted partnerships with scientists and defining high‑level technical architecture for complex work 7+ years of progressive software architecture experience specifically within the Biotech/Pharma industry Deep, hands‑on knowledge of lab workflows, integrated workcells, and automation control systems (e.g., liquid handlers, robotic arms) is essential Roche is an Equal Opportunity Employer. #J-18808-Ljbffr The Position You will be a key contributor to the architecture and delivery of core automation control and data frameworks in research labs, empowering scientists with reliable, interconnected systems.
