Data Strategy & Analytics Specialist

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come.

Join Roche, where every voice matters. The Position Let's build a healthier future, together. By bringing together our unique strengths in medical, diagnostics, and technology, we take on the toughest health challenges, working with passion and purpose to prevent, stop, and cure diseases.

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’s Product Development (PD). 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.

You hold a Bachelor’s degree in Life Sciences, Computer Science, Epidemiology, Biostatistics, Public Health, Health Economics (HEOR), or a closely related quantitative field. You have a minimum of 3 years of experience working with structured data in a research or healthcare setting. You have solid working knowledge of R or Python, as well as SQL. You understand data dictionaries, mappings, or metadata tagging, as well as data systems used in clinical or operational settings.

You demonstrate capacity for independent thinking, strategic agility, critical thinking, and the ability to make decisions based upon sound principles. 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.

You hold a Master’s or PhD degree in Life Sciences, Computer Science, Epidemiology, Working knowledge of statistical methods and epidemiological concepts used in observational healthcare research (e.g., cohort identification, censoring, time-to-event concepts). Prior experience in immunology or infectious disease therapeutic areas. Familiarity with clinical terminologies and coding systems (e.g., ICD, SNOMED CT, RxNorm, CPT, HCPCS), OMOP CDM, or CDISC standards (SDTM, ADaM).

Familiarity with software engineering best practices (Git, unit testing) and AI-assisted coding tools (e.g., Claude Code, Git Hub Copilot). Relocation benefits aren’t available for this position.

The expected salary range for this position based on the primary location of Mississauga is 89,256.00 and  of hiring range. Actual pay will be determined based on experience, qualifications, and other job-related factors as determined by the company.

We use artificial intelligence to screen, assess or select applicants for this role. This posting is for an existing vacancy at Hoffmann-La Roche Ltd.

A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring…