Jobs at Genentech

Lead technical strategy and execution for data science innovation across product development: set architecture and standards, manage multidisciplinary teams and resources, oversee prototyping-to-productization, ensure quality/compliance, integrate new technologies, and influence enterprise roadmap and governance.

The Senior Principal Statistician leads statistical strategies in clinical trials, ensuring scientific rigor and regulatory compliance while mentoring junior staff and contributing to drug development.

The Analytical Data Science Lead guides technical strategy and operational execution for multiple clinical programs, ensuring high-quality and regulatory-compliant analytical outputs, while managing a team of programmers and fostering innovation.

Lead enterprise-wide resourcing, workforce planning, and metrics for PDD. Drive budget tracking, forecasting, governance, data quality, and analytics tooling. Build and coach a global team, align headcount and budget to portfolio priorities, and enable executive decision-making through governance, KPIs, and planning systems.

The Senior Statistician leads statistical input and analysis for clinical trials, ensuring compliance and scientific rigor, and interprets results for decision-making.

Design, develop, and deploy ML and statistical solutions for clinical development. Partner with product, engineering, and domain experts to build reproducible model pipelines, run simulation and comparative evaluations, integrate models into production, and ensure compliant, interpretable ML architectures. Produce documentation, monitor performance, and contribute to knowledge sharing and cross-functional productization of data science solutions in regulated healthcare environments.

Lead global biostatistics (100–125 people) setting strategy, ensuring scientific rigor, integrating AI/digital/advanced analytics into study design and analysis, partnering with Clinical, Regulatory, and Data Science, overseeing quality/compliance, and developing senior biostatistics leaders to support late-stage development.

Lead development and productization of advanced statistical and ML solutions for clinical development. Design simulation studies, build scalable data and model pipelines, ensure model fairness/compliance, integrate models into product platforms, and drive scientific leadership and cross-functional initiatives in regulated pharma environments.

Lead the product lifecycle for technology solutions in the biomedical field, integrating AI/ML and managing interdisciplinary product teams. Drive innovation, create user experiences, and oversee regulatory data management.

The Principal ADS Program Lead oversees data science strategies for clinical programs, ensuring quality, compliance, and effective collaboration across teams, while building talent and promoting innovation.