Principal Scientist, Portfolio & gRED Interface-Biologics, AI for Drug Discovery (AIDD)

At Roche's AI for Drug Discovery (AIDD) group within the Computational Sciences Center of Excellence, we are driving a paradigm shift in how large molecule drug discovery is conducted. Our vision is to integrate artificial intelligence and machine learning into every stage of antibody discovery—from target assessment and design optimization to developability prediction and portfolio prioritization.

But vision without execution is just strategy. We need exceptional scientist-leaders who can take our computational methods and translate them into measurable impact on active portfolio projects. We need people who understand both the science deeply and navigate the complex relationships in our discovery organizations. We need leaders who can build and develop teams that deliver.

You would be stepping into a role with outsized impact: driving portfolio applications of advanced ML models directly to gRED projects, serving as a trusted technical advisor to gRED leadership, and building a team of computational scientists who collectively raise the bar for what's possible in large molecule design.

In this role, you will:

• Drive portfolio impact by leading the application of machine learning models (developability, functional modeling, design optimization) to active gRED projects—taking models from research to real projects with measurable outcomes
• Interface with gRED leadership as a trusted technical advisor on computational strategy, capability development, and portfolio prioritization; serve as the primary liaison between computational sciences and gRED leadership
• Lead the Large Molecule portfolio modeling team, setting research direction, mentoring scientific development, and creating an environment where people do their best work
• Develop and execute a technical strategy for how ML shapes gRED's approach to antibody discovery and engineering and align with your pRED counterpart
• Navigate complex stakeholder landscapes, including Antibody Engineering, platform teams, and external partners, to align on priorities and build collaboration
• Identify and own high-impact research initiatives that solve real problems for the portfolio and advance the state of the science

The expected salary range for this position, based on the primary location of California, is $201,300 - 373,800. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.

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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 organisations 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 new Computational Sciences Center of Excellence (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 transformative medicines for patients worldwide. ​