Senior Principal DSX Data Scientist, AI

Genentech

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Work type
On-site
Location
South San Francisco, CA
Employment
Full-time
Posted
68 days ago
Freshness
Confirmed live today

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Similar $189k
$132k $241k
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This listing doesn't post a salary. Most similar roles pay $162,000–$216,587.

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About Genentech

Genentech is a leading research-driven company dedicated to discovering and developing, manufacturing, and commercializing medicines for people with serious and life-threatening diseases.

Genentech currently has 36 open roles on FindRole.

Listed pay typically runs $146,000–$271,100 across 18 roles with salary data.

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TL;DR · Senior Principal DSX Data Scientist, AI

The Senior Principal DSX Data Scientist joins the Data Science Acceleration team within Product Development Data Sciences. This role involves developing scalable tools, environments, and workflows to enable high-quality statistical computing across the organization. The successful candidate will build next-generation capabilities for automating programming workflows, creating reusable coding macros, and developing advanced data visualizations. Key responsibilities include providing strategic technical leadership for statistical computing platforms, guiding architectural decisions, and resolving complex system-level challenges. The role requires expertise in Python and R, as well as experience in reproducible, compliant, and high-performance computing. The work focuses on streamlining evidence generation and supporting faster decision-making across the clinical development pipeline by translating scientific and operational needs into robust, modular solutions for processing clinical, operational, and real-world data.

What you'll do

  • Develop scalable tools, environments, and workflows to enable efficient high-quality statistical computing.
  • Design and evolve next-generation statistical computing platforms to meet organizational needs.
  • Translate emerging industry trends and regulatory shifts into forward-looking data science capabilities and standards.
  • Lead large-scale cross-functional initiatives to redefine how clinical and real-world data are processed and visualized.
  • Serve as a senior technical advisor on complex topics involving infrastructure, automation, and scientific computing.
  • Guide technical vision, architectural decisions, and resource planning for high-impact tooling and infrastructure projects.
  • Influence internal policy and development standards to drive the adoption of best practices across global teams.
  • Communicate complex technical ideas to senior stakeholders to shape investment and tooling strategy.

What we're looking for

  • Hold a PhD or Master’s degree in Computer Science, Data Science, Statistics, Bioinformatics, Engineering, or a related quantitative field.
  • Have a minimum of 8 years of experience in data science, statistical computing, or platform development.
  • Be a recognized expert in building and scaling scientific or statistical software systems within clinical research environments.
  • Possess expertise in multiple programming environments like Python and R for reproducible, compliant, and high-performance computing.
  • Demonstrate leadership of major programs or cross-functional initiatives with technical complexity and strategic significance.
  • Possess excellent verbal and written communication skills to influence senior stakeholders and explain technical strategy.
  • Experience shaping the architecture and long-term roadmap of enterprise-scale data science platforms (preferred).
  • Demonstrated ability to influence regulatory and quality frameworks in the context of digital and analytical tools (preferred).

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