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Roche

Senior Principal DSX Data Scientist

Mississauga, ON, Canada
Canada Pharma Campus, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Oct 21, 2026
Posting language: English
Posted: Oct 7, 2026

Original job description

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

This role is in Analytical Data Science, a core function within Product Development Data Sciences (PDD) that provides strategic leadership and scientific rigor across Development at Roche. PDD Analytical Data Science teams are mobilized across the portfolio to generate data-driven insights, identify opportunities for scale, and implement impactful solutions.

PDD Analytical Data Science is recognized as a leading hub for top industry talent, operating as an agile workforce to deliver regulatory commitments across the portfolio. We identify, influence, and adopt industry-leading digital and automation solutions, develop analytical approaches to support exploratory analyses, and align statistical programming practices across both early- and late-stage clinical development.

The Opportunity:

The Senior Principal DSX Data Scientist in the Data Science Acceleration (DSX) team is responsible for developing scalable tools, environments, and workflows that enable efficient, high-quality statistical computing across Product Development Data Sciences (PDD). This role focuses on creating and maintaining next-generation capabilities that support automation of programming workflows, generation of reusable coding macros, and advanced data visualization. Working closely with statistical programmers, biostatisticians, and clinical scientists, the Data Scientist translates scientific and operational needs into robust, modular, and user-friendly solutions that streamline evidence generation and support faster, more reliable decision-making across the development pipeline.

You provide strategic and technical leadership in the design and evolution of Roche’s next-generation statistical computing platforms, ensuring they meet the future needs of PDD and the broader organization
You anticipate emerging industry trends, technologies, and regulatory shifts, and translate them into forward-looking data science capabilities, frameworks, and standards
You lead large-scale, cross-functional initiatives that redefine how clinical, operational, or real-world data are processed, visualized, and interpreted for decision-making
You serve as a senior technical advisor to platform owners, programming and statistical leadership, and governance teams on complex topics involving infrastructure, automation, and scientific computing
You guide technical vision, architectural decisions, and resource planning for high-impact tooling and infrastructure projects across DSX
You resolve complex, system-level challenges across disciplines by applying deep scientific computing expertise and systems thinking
You influence internal policy and development standards, and drive adoption of best practices that scale across teams, functions, and geographies
You communicate complex technical ideas clearly to senior-level stakeholders and shape decisions on investment, tooling strategy, and portfolio priorities
You foster a culture of technical excellence, collaboration, and innovation through mentorship, internal community building, and knowledge sharing

Who you are:

You hold a PhD or Master’s degree in Computer Science, Data Science, Statistics, Bioinformatics, Engineering, or a related quantitative field
You have a minimum of 10 years of experience in data science, statistical computing, or platform development, with a demonstrated track record of impact at organizational or cross-functional levels
You are a recognized expert in building and scaling scientific or statistical software systems, with deep understanding of clinical research environments and regulatory implications
You bring expertise in multiple programming environments (e.g., Python, R) and development practices for reproducible, compliant, and high-performance computing
You have demonstrated leadership of major programs or cross-functional initiatives with technical complexity and strategic significance
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, including the ability to influence senior stakeholders and explain technical strategy with clarity and confidence
You have proven experience leading global, cross-functional projects or workstreams, demonstrating effective coordination across time zones and diverse stakeholder groups

Preferred Qualifications:

Experience shaping the architecture and long-term roadmap of enterprise-scale data science platforms or statistical computing environments
Demonstrated ability to influence regulatory and quality frameworks in the context of digital and analytical tools
Strategic understanding of healthcare data ecosystems, including real-world data, translational pipelines, and high-dimensional data integration
Proven ability to drive tool adoption and cultural change through technical leadership, stakeholder engagement, and thoughtful design
Engagement with external scientific or developer communities (e.g., open-source contributions, industry consortia, conference presentations)
Experience guiding investment and resource decisions for high-impact tooling or analytics initiatives
Ability to synthesize organizational priorities and translate them into impactful, technically sound solutions at scale

Relocation benefits are not available for this posting

The expected salary range for this position based on the primary location of Mississauga is 148,568.00 and 194,995.50 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.

Who we are

A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.

Let’s build a healthier future, together.

Roche is an Equal Opportunity Employer.

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More about this job

Responsibilities

The Senior Principal Data Scientist leads the development of scalable tools and workflows to enhance statistical computing and automation across the product development pipeline. They provide strategic technical leadership, influence organizational standards, and ensure high-quality data-driven decision-making through robust analytical solutions.

Requirements

Candidates must hold a PhD or Master’s degree in a quantitative field and possess at least 10 years of experience in data science or statistical computing. Expertise in building scalable scientific software systems and a deep understanding of clinical research environments are essential.

Skills

Data Science
Statistical Computing
Python
R
Automation
Clinical Research
Software Architecture
Strategic Leadership
Data Visualization
Regulatory Compliance
Systems Thinking
Project Management
Stakeholder Management
Bioinformatics
Statistical Programming

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Statistical Computing
Python
R
Automation
Clinical Development
Bioinformatics
Data Visualization
Regulatory Frameworks
Software Engineering
Scalability
Systems Thinking
Product Development
Real-world Data
High-dimensional Data
Statistical Programming
Strategic Leadership
Cross-functional Collaboration
Technical Architecture
Data Governance
Clinical Trials
Analytical Tools
Reproducible Research
Platform Development
Stakeholder Engagement

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