Senior Data Innovation Specialist (RWD)

Genentech • Daly City, CA

4d • $117,600 - $218,400 • Onsite

About The Position

The Senior Data Innovation Specialist (RWD) is part of the Real-World & Clinical Data Strategy (RWCDS) team, which develops and implements data strategies to improve data excellence, analytics, evidence generation, and decision-making within Roche Product Development. The team works with clinical, operational, and real-world data, embedding FAIR principles, advancing data governance, and enabling data productization to support scientific rigor, regulatory readiness, and AI-powered transformation.

Reporting to the Data Innovation Lead, this role identifies, prototypes, and scales methods and technologies that transform how data is used across product development. The specialist develops AI-enabled tools and agentic workflows for real-world data analyses, including reusable analytical components and scalable solutions that allow models and agents to interact with data and tools, automate parts of scientific workflows, and support scientific decision-making. The role collaborates with scientists, engineers, product teams, and external partners to develop proof-of-concepts, validate innovative solutions, and assess long-term feasibility. It is based in South San Francisco, California; relocation benefits are not available for this posting.

Requirements

• Master’s or PhD in Computer Science, Engineering, Life Sciences, Data Science, or a related field.
• At least 5 years of experience in data science or healthcare innovation, with a track record of implementing successful AI-driven pilots or products.
• Strong problem-solving and critical-thinking skills, with the ability to make independent decisions based on sound principles.
• Familiarity with agile, product-thinking, and innovation frameworks such as Lean Startup or Design Thinking.
• Hands-on experience designing and building production-oriented AI agents or agentic systems, including tool/function calling, retrieval, structured outputs, routing or orchestration, and multi-step or multi-agent workflows.
• Excellent verbal and written communication skills and respect for cultural differences in a global workplace.

Nice To Haves

• Exposure to real-world data or research informatics in a biomedical setting.
• Interest in emerging technologies such as machine learning, knowledge graphs, or clinical AI.
• Ability to summarize results for technical and non-technical audiences.

Responsibilities

• Apply specialized knowledge of emerging data types, technologies, and methods to lead innovation activities and complex analytical projects.
• Partner with cross-functional teams to pilot data innovations and integrate them into clinical development and data science workflows.
• Design, build, and evaluate agentic workflows that enable models to use tools, access data, execute analytical tasks, and support scientific decision-making while maintaining scientific rigor, traceability, and human oversight.
• Identify innovation opportunities through competitive landscaping and evaluate the feasibility and quality of unconventional data sources.
• Develop tools and frameworks that support scalable evaluation, reuse, and streamlining of experimental data approaches and workflows.
• Serve as an expert on innovation methodology, guide peers through new data modalities, and mentor junior team members.
• Maintain compliance with data privacy and security regulations, including HIPAA and GDPR.
• Collaborate with scientists, engineers, product teams, and external partners to design proof-of-concepts, validate innovative solutions, and assess long-term feasibility.

Benefits

• A discretionary annual bonus may be available based on individual and Company performance.
• The position qualifies for company benefits; specific benefits are detailed at a link referenced in the posting.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior