Roche's Research and Early Development organizations at Genentech (gRED) and Pharma (pRED) need to accelerate R&D by leveraging data and novel computational models. Seamless data sharing and access to models across gRED and pRED are essential to maximizing these opportunities. The new Computational Sciences Center of Excellence (CoE) aims to harness the transformative power of data and Artificial Intelligence (AI) to assist scientists in delivering more innovative and transformative medicines.
Requirements
- Strong proficiency with AI/ML frameworks, libraries, and toolsets.
- Expert knowledge of statistics, machine learning theory, and algorithms.
- Strong knowledge of ML performance optimization, GPU best practices.
- Experience with kubernetes, relational databases, NoSQL databases, or data lakes, and experience working on cloud-native architectures in public clouds (ideally AWS).
- Proven understanding and application of engineering best practices.
- Experience with imaging or biological data and processes is a strong plus.
- Experience with workflow automation, GenAI, and/or agents is a plus.
Responsibilities
- Design, develop, and test robust, scalable, and maintainable AI/ML facing scientific web applications and backend systems.
- Build tools to evaluate AI/ML model performance and establish new ways to understand AI quality.
- Partner with product managers and scientists to understand user needs, shape requirements, and translate them into actionable technical specifications.
- Develop and maintain systems for collecting, structuring, and storing diverse scientific data that support advanced analytics, machine learning, and other data-driven initiatives.
- Implement, adopt, or evaluate new AI/ML algorithms and analytical techniques
- Contribute to architectural decisions, code reviews, and the evolution of our development processes.
- Be willing to span the stack and contribute where needed, even outside of your core area of expertise.
Other
- This position requires onsite work 3 days per week.
- Ability to quickly acquire new technologies and programming languages and a passion for continuous learning.
- Excellent communication skills and ability to build trusted partnerships with internal and external collaborators.
- Experience working with scientists or in a research environment is advantageous.
- Relocation benefits are available for this posting.
