Genentech discovers, develops, manufactures and commercializes treatments for patients with serious and life-threatening medical conditions. Backed by North Carolina Biotechnology Center.
About the role
Within AI for Drug Discovery, the Software Engineering team builds and operates software platforms that put advanced models and computational tools into the hands of scientists. Our focus is on developing technology and deploying reliable, intuitive solutions that are adopted by users and create measurable impact across drug discovery. We are seeking a very talented Machine Learning Engineer to help build our agentic platform for molecule design.
What they're looking for
- You are proficient in Python and have strong software engineering fundamentals, including API design, automated testing, data modeling, and system design
- You have experience independently delivering production software from technical design and implementation through deployment, monitoring, and ongoing support
- You have built backend services, platform capabilities, developer tools, or user-facing applications in a cloud environment
- You are comfortable working with relational databases, asynchronous workflows, containers, version control, and CI/CD practices
- You can translate user and scientific needs into practical technical solutions and communicate effectively with engineers, researchers, product managers, and domain experts
- You are interested in AI-enabled applications and in integrating models, scientific tools, and data into reliable workflows
More about this role
A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche.
Advances in AI, data and computational sciences are transforming drug discovery and development. Roche’s Research and Early Development organizations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The Computational Sciences Center of Excellence (CS CoE) is a strategic, unified group whose goal is to harness the transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and life-changing medicines for patients worldwide.
Within AI for Drug Discovery, the Software Engineering team builds and operates software platforms that put advanced models and computational tools into the hands of scientists. Our focus is on...
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