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.

The Opportunity: 

The Data Innovation Specialist (RWD) helps identify, prototype, and scale novel methods and technologies that transform how data is used across product development. Reporting to the Data Innovation Head, you will explore emerging capabilities such as AI, semantic integration, and knowledge graphs to unlock new use cases for clinical, real-world, and operational data. You will collaborate with scientists, engineers, product teams, and external partners to design proof-of-concepts, validate innovative solutions, and assess long-term feasibility. This role requires curiosity, strong technical grounding, and a mindset oriented toward experimentation and continuous learning.

• Multi-Agent & AI Development: Prototype, validate, and scale advanced AI capabilities, focusing heavily on multi-agent development and orchestration architectures to unlock complex use cases across product development.

• Core Data Engineering: Support robust data engineering activities to design, optimize, and streamline data workflows, building scalable data pipelines that integrate unstructured, multi-modal, and unconventional data sources.

• Analytical Project: Support innovation activities and complex analytical projects focused on exploring novel data types , automated agent-driven workflows, and knowledge graph integrations in a multi-modal environment.

• Cross-Functional Collaboration: Partner with scientists, engineers, and product teams to pilot data innovations , integrating advanced engineering pipelines and multi-agent frameworks into broader clinical development and data science workflows.

• Platform & Tool Creation: Enable the development of low-/no-code analytics platforms to democratize multi-modal data access and establish frameworks for the scalable evaluation, productization, and reuse of experimental data approaches.

• Subject Matter Expertise & Mentorship: Serve as an innovation methodology partner, guiding peers through new data modalities while mentoring junior team members on cutting-edge techniques, data tools, and agent architectures.

• Compliance & Data Governance: Proactively identify innovation areas via research while ensuring all engineering and AI frameworks maintain absolute compliance with data privacy and security regulations like HIPAA and GDPR.

Who you are:

• You hold a Bachelor’s or Master’s degree in Data Science, Informatics, Life Sciences, or a related technical field

• You have a 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

• You have basic familiarity with scripting languages (e.g., Python or R) and version control tools (e.g., Git)

• You are able to work collaboratively and document technical findings clearly

• You demonstrate capacity for independent thinking and ability to make decisions based upon sound principles

• You bring excellent strategic agility including problem-solving and critical thinking skills, and agility that extends beyond the technical domain

• You demonstrate respect for cultural differences when interacting with colleagues in the global workplace

• You have excellent verbal and written communication skills, specifically in the areas of presentation and writing, with the ability to explain complex technical concepts in clear language

Preferred:

• 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

This position is based in South San Francisco, CA and relocation benefits are not available for this posting  

The expected salary range for this position based on the primary location of South San Francisco, CA is $97,900.00 - $181,700.00 USD Annual.  Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law.  A discretionary annual bonus may be available based on individual and Company performance.  This position also qualifies for the benefits detailed at the link provided below.

#PDDT

#PDDSSF