Principal Data Scientist, RDT Applied AI

Genentech

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
South San Francisco, CA
Salary
$185,200–$343,900 / yr
Posted
14 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $168k
This role $265k
$91k most similar roles pay here $371k

This role pays more than 95% of similar roles. Most pay $131,687–$204,050 — the shaded band above. At the midpoint, this role pays about $265k versus about $168k for comparable roles.

Based on 240 similar postings.

Employer

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 10 open roles on FindRole.

Listed pay typically runs $150,200–$279,000 across 9 roles with salary data.

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At a glance

TL;DR · Principal Data Scientist, RDT Applied AI

Principal Data Scientist - RDT Applied AI serves as a premier technical consultant within the Pharma Commercial and Product Research & Development teams. In this high-impact role, you will act as a strategic bridge between advanced machine learning and business strategy, translating complex challenges into robust AI/ML strategies while guiding the architectural design of data science solutions. You will advocate for existing platform capabilities, identify technological gaps to influence roadmaps, and mentor talent across multiple projects. The role requires expert proficiency in Python, R, and sophisticated data analysis to build predictive and generative engines. Key competencies include advanced machine learning, generative AI, experimental design, and system integration. Crucially, you must navigate a highly regulated healthcare environment, ensuring all solutions adhere to strict compliance, data privacy, and GxP requirements while solving complex problems in the pharmaceutical domain.

What does a Data Scientist earn in California?

Median $208978 from 66 postings across 27 companies.

See salary data

What you'll do

  • Translate ambiguous business challenges into robust AI/ML strategies for Pharma Commercial and R&D teams.
  • Advise on the design and architecture of complex data science solutions in a regulated environment.
  • Promote existing internal AI platforms while identifying technical gaps to influence the platform roadmap.
  • Ensure all AI architectures comply with healthcare regulations, data privacy laws, and GxP standards.
  • Translate complex algorithmic processes and compliance requirements for non-technical senior business leaders.
  • Oversee the architectural direction of multiple projects by guiding the data scientists executing the work.
  • Develop bespoke analytical strategies to ensure model robustness, scalability, and longevity in production.
  • Advise on integrating systems that pull information from diverse sources into centralized enterprise platforms.

What we're looking for

  • Master’s degree in Biostatistics, Computer Science, Data Science, or a related discipline is required; a PhD is strongly preferred.
  • Minimum of 7 years of direct experience in Data Science working with AI/ML technologies.
  • Expert proficiency in multiple programming languages, including Python and R.
  • In-depth knowledge of state-of-the-art machine learning, generative AI techniques, and experimental design.
  • Demonstrated experience in pharmaceutical or healthcare environments with a strong understanding of GxP compliance and data privacy regulations.
  • Proven track record of consulting with senior leadership to influence high-level strategic business decisions.
  • Experience designing and implementing enterprise-wide data science frameworks and platform architectures.
  • Strong leadership skills to mentor staff and oversee the architectural direction of multiple concurrent projects.

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