Jobs at Genentech

• Operational & Program Governance: Manage the IDO work plan, governance calendar, approval workflows, and action-tracking systems to ensure leadership decisions are properly executed, documented, and escalated.
• Process & Methodology Standardization: Develop, communicate, and maintain standardized meth...

• Strategic Internal Consulting: Act as a dedicated advisor to Pharma Commercial and Product R&D teams on their highest-priority AI initiatives. Translate ambiguous business and product challenges into robust AI/ML strategies, consulting with the project owners to ensure technical solutions directly advance commercial goals and development timelines.

A healthier future. It’s what drives us to innovate.

• Lead Quality Oversight: Provide technical and regulatory oversight for site qualification and validation activities, including advanced Computer System Validation (CSV).
• Approve Critical Validation: Review and approve essential lifecycle documentation such as Validation Master Plans, User Requirements, Protocols, deviations, and Summary Reports.

• You provide strategic and technical leadership in the design and evolution of Roche’s next-generation statistical computing platforms, ensuring they meet the future needs of PDD and the broader organization
• You anticipate emerging industry trends, technologies, and regulatory shifts, and translate the...

• Partner with product leadership to shape and execute digital-forward HCP CRM product roadmaps, detailing experiences, features, timelines, and critical dependencies.
• Drive the evolution of core CRM capabilities by collaborating closely with Technical Product Managers to translate business outcomes into actionable technical requirements.

• Develop generative and representation learning machine learning models for protein and antibodies in zero-shot and few-shot regimes.
• Closely collaborate with scientists and researchers across disciplines and teams to build impactful technologies for drug discovery research.

• Build agents that use tools, retrieve evidence, and reason across multi-step scientific workflows
• Build reliable interfaces between agents and biological, genomic, and clinical data sources

• You serve as a methodological thought partner to study teams, providing expert guidance on complex design and analysis across programs
• You lead the development and institutionalization of methodologies that improve decision-making at trial and portfolio levels (e.g., quantitative go/no-go criteria, simulation frameworks, model-based projections)

• Design computational workflow architecture that operationalizes modular ML components into scalable, reproducible, and agentic-ready systems
• Lead the development and standardization of SOPs for model integration, data pipelines, and workflow execution across gRED and pRED

• 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, capab...

• You provide technical leadership across early exploration and productization phases of innovation projects, ensuring alignment with departmental goals and enterprise direction
• You act as subject matter expert and single point of escalation/problem resolution for applied data science and software engineering within the innovation portfolio

• Manage automation intake: Build and run a structured intake and feasibility process, assessing complexity, risk, benefits, and control impact.
• Design automation solutions: Translate business needs into scalable automation designs, partnering with IT or engineering for implementation when needed.

• Develop Automated Workflows: Design, create, and modify complex laboratory workflows and automated "recipes" specifically within the Biovia software system.
• Cross-Functional Collaboration: Partner with business stakeholders and end-users to gather feedback, translate business requirements, and propose new functionalities or system enhancements.

• You support or lead the development and application of advanced statistical and machine learning methods for integration into tools and software products in clinical development and decision-making support
• You design and productize the execution of simulation studies to evaluate innovative trial desi...

• You apply advanced statistical and machine learning methods to support development of tools and software products for evidence generation, trial design, and decision support across R&D initiatives
• You act as the subject matter expert to inform software products for the conduct of simulation ...

• Partner with Business and Roche Digital Technology (RDT) leadership to align global and regional business priorities with multi-year technology roadmaps and target-state architectures.
• Lead a federated network of embedded domain and solution architects. Establish shared strategic priorities, technology guardrails, and security/privacy standards.

• Design and build foundation models to support target and drug discovery, with a focus on large-scale representation learning, multimodal generative models, LLMs, AI agents, and reinforcement learning.
• Work with and integrate diverse data modalities such as molecular structures, biological sequen...

• Spearhead the architecture and deployment of production-grade pipelines and services, systematically transitioning rapid prototypes into secure, highly maintainable enterprise systems.
• Architect and develop advanced applications and AI assistants, integrating Large Language Models (LLMs) through retrieval-augmented generation (RAG), multi-agent architectures, and complex function-calling methodologies.

• Design and apply predictive machine learning algorithms for lab-in-the-loop perturbation screens for drug and target identification.
• Work on and integrate a variety of different data modalities such as molecular structures, omics data, images, and text.