DSX Data Scientist

F. Hoffmann-La Roche AG; Mississauga; On-site; CAD 89,000 - 117,000; Full time

Job summary

Hoffmann-La Roche Ltd. in Mississauga is seeking a Data Scientist to advance DSX tooling and automation across Product Development Data Sciences.

You will design scalable environments, develop reusable code libraries, and collaborate with statisticians, programmers and scientists to translate needs into robust solutions, enabling faster, more reliable decision-making across the development pipeline. You will apply software engineering best practices, contribute to DSX tool improvement, and

Qualifications

• Master’s or PhD in quantitative field.
• 1–3 years hands-on data science experience, ideally in life sciences or healthcare.
• Proficient in R and/or Python; familiar with Git, Docker or workflow automation tools.
• Ability to build, test, and maintain reproducible, well-documented code.

Responsibilities

• Develop scalable tools, environments, and workflows for statistical computing across PDD.
• Create reusable code libraries, macros, and automation pipelines for PDD.
• Collaborate with statisticians, programmers, and data scientists to translate needs into robust solutions.
• Support exploratory analytics and data visualization to aid decision-making across development programs.
• Apply software engineering best practices: version control, testing, and documentation.
• Contribute to DSX tools and infrastructure improvements and participate in peer reviews.

Skills

Data science

Statistical computing

R/Python programming

Git

Docker

Communication

Critical thinking

Education

Master’s or PhD in quantitative field

Tools

Git

Docker

Airflow

Kubernetes

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

The 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 contribute to the design, development, and maintenance of statistical computing environments and tools that enable efficient analysis of clinical and operational data You develop and implement reusable code libraries, macros, and automation pipelines to support programming workflows across PDD You collaborate with statisticians, programmers, and data scientists to translate user needs into robust, scalable technical solutions You support exploratory analytics and data visualization capabilities that enhance insight generation and decision-making across development programs You apply software engineering best practices, including version control, testing, and documentation, to ensure high-quality, reproducible code You participate in the continuous improvement of DSX tools and infrastructure, incorporating feedback and emerging technologies You support regular review of opportunities to simplify and innovate, and collaborate with experts in PDD and beyond to accelerate and deliver patient benefits faster You work under general supervision and apply independent judgement to interpret guidance, prioritize responsibilities, and make decisions in situations that require contextual understanding You apply judgment to address moderately complex statistical or data issues, balancing scientific rigor with appropriate flexibility, and seek guidance when facing novel or ambiguous situations You adhere to functional standards by participating in peer review and mentoring relationships to uphold quality and build methodological and programming expertise.

• You contribute to the design, development, and maintenance of statistical computing environments and tools that enable efficient analysis of clinical and operational data
• You develop and implement reusable code libraries, macros, and automation pipelines to support programming workflows across PDD
• You collaborate with statisticians, programmers, and data scientists to translate user needs into robust, scalable technical solutions
• You support exploratory analytics and data visualization capabilities that enhance insight generation and decision-making across development programs
• You apply software engineering best practices, including version control, testing, and documentation, to ensure high-quality, reproducible code
• You participate in the continuous improvement of DSX tools and infrastructure, incorporating feedback and emerging technologies
• You support regular review of opportunities to simplify and innovate, and collaborate with experts in PDD and beyond to accelerate and deliver patient benefits faster
• You work under general supervision and apply independent judgement to interpret guidance, prioritize responsibilities, and make decisions in situations that require contextual understanding
• You apply judgment to address moderately complex statistical or data issues, balancing scientific rigor with appropriate flexibility, and seek guidance when facing novel or ambiguous situations
• You adhere to functional standards by participating in peer review and mentoring relationships to uphold quality and build methodological and programming expertise

Who you are:

• You hold a Master’s degree or PhD in Computer Science, Data Science, Statistics, Bioinformatics, Engineering, or a related quantitative discipline
• You have 1-3 years of hands‑on experience in data science, statistical computing, software engineering, or a related field, preferably in a life sciences or healthcare setting (internship and academic experience will be considered)
• You are proficient in programming languages commonly used in statistical computing (e.g., R, Python) and are familiar with development tools such as Git, Docker, or workflow automation tools
• You understand clinical trial data structures, statistical analysis concepts, or biomedical data (e.g., omics, real‑world data, operational data)
• You demonstrate ability to build, test, and maintain reproducible, well‑documented code
• 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:

• Experience working with diverse data modalities (e.g., clinical, operational, real‑world, omics) and applying analytical strategies to uncover patterns or insights
• Familiarity with statistical computing workflows in regulated environments, including clinical trial data structures and lifecycle
• Demonstrated interest in data engineering best practices (e.g., reproducibility, code modularity, testability, documentation)
• Ability to follow and contribute to collaborative development processes, including code reviews, version control, and continuous integration
• Experience contributing to the development or extension of statistical platforms, macro libraries, or reusable toolkits
• Strong communication and collaboration skills, with the ability to translate user needs into technical requirements and explain complex solutions in accessible terms
• Exposure to automation, workflow orchestration tools (e.g., Airflow, Nextflow), or containerization (e.g., Docker, Kubernetes) is a plus
• Experience working in multi-disciplinary or matrixed R&D teams, preferably within a global pharmaceutical or biotech organization

Relocation Benefits are not available for this Job Posting.

The expected salary range for this position based on the primary location of Mississauga is 89,256.00 and 117,148.50 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. We believe it’s urgent to deliver medical solutions right now – even as we develop innovations for the future. We are passionate about transforming patients’ lives. We are courageous in both decision and action. And we believe that good business means a better world. That is why we come to work each day. We commit ourselves to scientific rigor, unassailable ethics, and access to medical innovations for all. We do this today to build a better tomorrow. We are proud of who we are, what we do, and how we do it. We are many, working as one across functions, across companies, and across the world. We are Roche.