Data Innovation Specialist

Genentech • South San Francisco, CA

92d • $97,900 - $181,700

About The Position

A healthier future. It's what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That's what makes us Roche. This role is based in the Real-World & Clinical Data Strategy (RWCDS) team which drives data excellence and analytics to power enhanced decision-making and evidence-generation within Roche Product Development. We develop and implement data strategies that unlock the value of clinical, operational, and real-world data to accelerate evidence generation, decision-making, and innovation across PD and beyond. By embedding FAIR principles, advancing data governance, and enabling data productization, RWCDS ensures that data is not only findable and usable, but also a driver of scientific rigor, regulatory readiness, and AI-powered transformation. Through deep partnerships with internal functions and external collaborators, we shape a future-ready data ecosystem that supports personalized healthcare and efficient drug development.

Requirements

• Bachelor's or Master's degree in Data Science, Informatics, Life Sciences, or a related technical field.
• Minimum of 2-4 years of experience working on data-related or innovation-support projects, or an advanced degree with 0-2 years of equivalent work experience.
• Basic familiarity with scripting languages (e.g., Python or R) and version control tools (e.g., Git).
• Ability to work collaboratively and document technical findings clearly.
• Capacity for independent thinking and ability to make decisions based upon sound principles.
• Excellent strategic agility including problem-solving and critical thinking skills.
• Respect for cultural differences when interacting with colleagues in the global workplace.
• Excellent verbal and written communication skills, specifically in the areas of presentation and writing.

Nice To Haves

• Exposure to real-world data or research informatics in a biomedical setting.
• Interest in emerging technologies such as machine learning, knowledge graphs, or clinical AI.
• Ability to summarize results for both technical and non-technical audiences.

Responsibilities

• Identify, prototype, and scale novel methods and technologies that transform how data is used across product development.
• Explore emerging capabilities such as AI, semantic integration, and knowledge graphs to unlock new use cases for clinical, real-world, and operational data.
• Collaborate with scientists, engineers, product teams, and external partners to design proof-of-concepts, validate innovative solutions, and assess long-term feasibility.
• Support innovation projects by performing data exploration, documentation, and early-stage testing of novel data tools or approaches.
• Assist in building reproducible pipelines for exploratory analyses and prototyping.
• Collaborate with more experienced colleagues to investigate new data science techniques and technologies.
• Participate in innovation-focused workshops, sprint reviews, and documentation efforts.
• Maintain and share structured records of findings, test results, and process improvements.
• Assist in assessment of new data and analytics use cases or capabilities based on internal gaps or evolving scientific questions.
• Participate in experimentation, testing, and documentation activities for innovative workflows or platforms.
• Share best practices and learnings from innovation projects across RWCDS.
• Ensure compliance with data privacy and security regulations such as HIPAA, GDPR, and other relevant standards.

Benefits

• Discretionary annual bonus based on individual and Company performance.
• Comprehensive benefits package.

What This Job Offers

• Job Type: Full-time
• Industry: Chemical Manufacturing
• Education Level: Bachelor's degree