Senior Data Innovation Specialist (RWD) — AI-Driven Healthcare

Genentech

San Francisco (CA)

Presencial

USD 118.000 - 218.000

Jornada completa

Hace 10 días

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Ventajas ofrecidas por este puesto de trabajo

Discretionary annual bonus
Benefits package

Descripción de la vacante

Genentech is seeking a Senior Data Innovation Specialist (RWD) in South San Francisco to lead AI-driven data initiatives within the Real-World & Clinical Data Strategy team. You will prototype novel methods, build agentic workflows, and collaborate with scientists, engineers, and external partners to scale innovative data solutions.

You will design reusable components, ensure governance and compliance, and mentor junior team members while advancing data science capabilities across PD and beyond.

Formación

  • Master’s or PhD in CS, Engineering, Life Sciences or Data Science.
  • 5+ years of data science or healthcare innovation experience.
  • Experience with AI pilots or AI-driven products.
  • Experience designing production AI agents or agentic workflows.
  • Strong communication and collaboration across global teams.

Responsabilidades

  • Identify and prototype novel data methods to enable AI-driven insights.
  • Lead agentic workflows to allow models to use tools and data.
  • Collaborate with scientists, engineers, and external partners.
  • Design reusable analytical components and scalable solutions.
  • Ensure data governance, compliance with HIPAA and GDPR.

Conocimientos

Data science
AI/Agentic systems
Cross-functional collaboration
Problem solving
Communication

Educación

Master’s or PhD in CS/Engineering/Data Science

Herramientas

Python
SQL
Knowledge graphs

Descripción del empleo

Genentech is seeking a Senior Data Innovation Specialist (RWD) in South San Francisco to lead AI-driven data initiatives within the Real-World & Clinical Data Strategy team. You will prototype novel methods, build agentic workflows, and collaborate with scientists, engineers, and external partners to scale innovative data solutions.

You will design reusable components, ensure governance and compliance, and mentor junior team members while advancing data science capabilities across PD and beyond.

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