Principal Data Scientist, Predictive AI

Why Genentech

We're passionate about delivering on Our Promise to improve the lives of patients and create healthier communities for all. We foster a culture of inclusivity, integrity and creativity while boldly pursuing answers to the world's most complex health challenges and transforming society.

Genentech's Data, Digital, and Analytics (DDA) team is dedicated to solving complex healthcare challenges and improving patient outcomes. DDA empowers business partners across Commercial, Medical, and Government Affairs (CMG) to make impactful decisions by leveraging data, analytics, and AI/ML to enable fast, targeted actions in rapidly evolving business contexts.

DDA fosters a unified understanding of customers, actions, and outcomes by transforming the business insight supply chain from the traditional reactive service model to a modern proactive product model, which integrates analytics and insights seamlessly into CMG's evolving digital, data, and automation platforms, creating scalable solutions and eliminating silos.

In DDA, you will work as a trusted, objective advisor and expert, recommending critical decisions and actions to be taken with credibility and a focus on driving measurable impact.

You will be part of a diverse, inclusive team that reflects the world we serve, thriving in a welcoming culture built on collaboration and innovation.

The Principal Data Scientist in Data, Analytics, and AI serves as a visionary technical leader and strategic thought partner, driving the innovation, development, and industrialization of next-generation enterprise AI/ML applications. This pivotal role requires deep expertise in building enterprise recommendation engines alongside advanced predictive modeling and forecasting solutions tailored specifically for the Commercial, Marketing, and Medical Affairs domains. Operating with a high degree of independence, the Principal Data Scientist translates ambiguous business challenges into rigorous analytical roadmaps, elevates team thinking, and provides the strategic technical insights necessary to shape organizational priorities.

This position requires a rare blend of deep technical mastery—spanning applied statistics, deep learning, and forecasting—and the executive presence required to influence cross-functional strategy while maintaining compliance with Genentech's standards.

Lead and guide the data science lifecycle for high-priority AI/ML projects, serving as the subject matter expert for advanced analytical methodologies across DDA.

Drive the end-to-end development, scaling, and deployment of AI solutions to optimize marketing efficiency, medical affairs strategy, and customer experience.

Act as a critical technical advisor to leadership and cross-functional stakeholders; leverage deep technical expertise and proactive research to influence long-term commercial and clinical business strategies.

Apply ML, deep learning, and applied statistics to extract high-value insights from complex, disparate structured and unstructured data sources.

Collaborate seamlessly with Data Science Product Owners, ML Engineers, and other teams to build production-grade, scalable applications. Openly share perspectives to elevate the team’s technical maturity and optimally weigh technical vs. business trade-offs.

Translate highly complex algorithmic architectures and predictive insights into concise, compelling business narratives that inspire trust and drive immediate operational action among non-technical stakeholders.

• Bachelor's Degree and 7+ years of hands-on experience in AI with a proven track record of technical leadership, innovation, and independent project execution.
• 3+ years of dedicated experience applying Recommender Systems (e.g., content-based/collaborative filtering) and predictive/forecasting models to enterprise-scale data to drive tangible business results.
• Deep proficiency in quantitative fields including Deep Learning (applied to recommendation engines or advanced…