Data Strategy & Analytics Specialist

Roche • South San Francisco, CA

23h

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. The Opportunity: The Data Strategy & Analytics Specialist contributes to the design and execution of data strategies and analyses that enable decision-making and insight generation across a therapeutic area or molecule portfolio. Working under the Data Strategy & Analytics Lead, you will partner with cross-functional teams to align data strategy with clinical and translational goals, identify key data assets, and support the delivery of integrated evidence plans. You will also contribute to the translation of scientific and business needs into analytical frameworks and data-driven solutions. This role demands a strong foundation in data science, analytics planning and execution, and an ability to bridge scientific questions with practical data solutions. You assist in documenting data strategies and requirements for programs and therapeutic areas You support data integration and harmonization efforts by applying templates and standard protocols You contribute to analytic execution for use cases leveraging multi-modal data sources across real-world, clinical, and operational domains You contribute to mapping exercises and data lineage documentation to support reuse and data quality You analyze data structure and support the standardization of terminology and metadata You collaborate with team members and internal partners to maintain structured and accessible data assets

Requirements

• You hold a Bachelor’s or Master’s degree in Informatics, Life Sciences, Computer Science, or a related field
• You have 2+ years of experience working with structured data in a research or healthcare setting
• You have basic knowledge of R or Python
• You understand data dictionaries, mappings, or metadata tagging
• You are familiar with data systems used in clinical or operational settings
• You demonstrate capacity for independent thinking and ability to make decisions based upon sound principles
• You exhibit 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 possess 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

Nice To Haves

• Exposure to healthcare data models or clinical trial datasets
• Experience working in a matrixed or agile team environment

Responsibilities

• assist in documenting data strategies and requirements for programs and therapeutic areas
• support data integration and harmonization efforts by applying templates and standard protocols
• contribute to analytic execution for use cases leveraging multi-modal data sources across real-world, clinical, and operational domains
• contribute to mapping exercises and data lineage documentation to support reuse and data quality
• analyze data structure and support the standardization of terminology and metadata
• collaborate with team members and internal partners to maintain structured and accessible data assets

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level