Position
Join our Data and Digital Catalyst team as a Software Engineer, where you will develop the modernized and interconnected computational and data ecosystems that are foundational to our research. You'll build robust and scalable systems that unlock the potential of our diverse scientific data, directly accelerating the discovery and development of life‑changing treatments for patients.
Responsibilities
* Build and enhance a modern, scalable ecosystem of applications and tools to capture, move, and prepare scientific data for analysis.
* Design and deliver complex, user‑friendly data applications and pipelines that integrate diverse data sets across key scientific domains.
* Leverage standard patterns such as microservices and event‑driven architecture to improve data workflows and the application ecosystem.
* Champion technical excellence by ensuring solutions are innovative, best‑in‑class, and seamlessly integrated.
* Integrate diverse data sets to power Artificial Intelligence (AI), machine learning (ML), and Natural Language Search capabilities.
* Collaborate directly with computational and research scientists to understand their challenges and translate them into effective technology solutions.
* Provide technical leadership on ongoing initiatives and identify new opportunities to build common, reusable solutions.
* Mentor junior developers, fostering their professional growth and upholding high engineering standards.
Qualifications
* A BS or MS degree in Computer Science or a related technical field, or equivalent practical experience.
* 8–10+ years of professional experience in full‑stack software and data engineering.
* Strong skills in backend (e.g., Python, Java) and frontend (e.g., React, Vue) development.
* Deep experience with modern data engineering: databases (SQL/NoSQL), ETL/ELT pipelines, and APIs (REST, GraphQL).
* Proven experience developing and deploying applications on cloud‑native architectures, preferably AWS.
* Experience setting up SDLC best practices, including versioning, testing, observability, CI/CD, etc.
* Exceptional ability to architect scalable solutions in complex environments with multiple existing system integrations.
* Outstanding communication and collaboration skills, with the ability to articulate technical concepts to diverse audiences.
* Preferably experience working in pharmaceutical or a related domain and establishing coding best practices.
Global Grade
The global grade for this role can be SE7 or SE8 to align with Principal / Senior Principal Engineer.
EEO Statement
Roche is an Equal Opportunity Employer.
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