Data Scientist - Operations Responsible AI

Roche; Mississauga; On-site; CAD 90,000 - 130,000; Full time

Job summary

Roche is seeking a Data Scientist specialized in Responsible AI to guide the development and deployment of ethical AI solutions. The role involves collaboration with diverse teams to ensure compliance and enhance healthcare outcomes through innovative AI practices. Candidates should have extensive experience in machine learning and a relevant degree.

Benefits

Innovative Environment

Growth Opportunities

Collaborative Culture

Qualifications

• 5+ years of experience with advanced machine learning algorithms.
• Hands-on experience with Generative AI.
• Strong background in statistics and optimization techniques.

Responsibilities

• Collaborate with various stakeholders to integrate responsible AI principles.
• Design and develop tools for automated risk evaluation.
• Perform exploratory data analysis to inform recommendations.

Skills

Machine Learning

Python

Statistics

Problem Solving

Communication

Education

B.Sc., B.Eng., M.Sc., M.Eng., Ph.D. in Computer Science, Physics, Statistics, Mathematics

Tools

AWS

Azure

Job description

Data Scientist - Operations Responsible AI

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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

Galileo is a strategic program driven by Roche Informatics, established to leverage AI to innovate, optimize operational business value, and improve healthcare outcomes at Roche. Our Responsible AI team is dedicated to translating responsible AI and ethical principles into practice to enable the full potential of AI while minimizing risk through ethical, compliant, and efficient AI implementation across the organization. We support the development, scaling, and adoption of trustworthy solutions to achieve exponential health benefits globally.

We seek a highly skilled Data Scientist with expertise in Responsible AI practices to guide AI product teams in developing and deploying trustworthy, valuable, and compliant AI solutions. The candidate will also contribute to developing these implementations and training programs across the Enterprise. A deep understanding of responsible AI processes and artifacts is essential to support high-value, low-risk AI initiatives. Collaboration with RAI experts to define business processes and integrate responsible AI principles into existing solutions is also key.

Key Responsibilities:

• Collaborate with data scientists, AI engineers, developers, AI experts, AI product owners, and stakeholders (e.g., legal, security, quality, ethics) to integrate responsible AI principles into scalable and robust applications, ensuring ethical AI deployment and compliance with standards.
• Design, develop, and integrate tools supporting automated risk evaluation in LLM Models and AI solutions.
• Develop automated frameworks and tools for compliance and risk management at scale.
• Implement and refine techniques for evaluating AI output accuracy, bias, toxicity, explainability, transparency, and value.
• Implement techniques to identify, mitigate, and monitor biases, promoting fairness and inclusivity.
• Develop tools and frameworks to embed Roche’s ethical principles into AI development and deployment.
• Perform exploratory data analysis (EDA) to understand AI model behavior, using statistical and visualization techniques to inform recommendations.
• Apply software development best practices, including unit testing, CI/CD pipelines, robust logging, experiment tracking, and model monitoring.
• Translate complex technical results into clear insights for stakeholders to drive data-driven decisions.

Practical Skills Required:

• 5+ years of experience with advanced machine learning algorithms and at least 1 year of hands-on experience with Generative AI; experience in responsible AI practices is preferred.
• Proficiency in Python and cloud platforms; familiarity with responsible AI frameworks and tools is an advantage.
• Deep understanding of model evaluation metrics, including performance, bias, toxicity, explainability, transparency, and cost/value.
• Strong background in statistics, machine learning algorithms, and optimization techniques.
• Experience in feature engineering and prompt engineering to enhance model performance.
• Experience deploying AI models on cloud platforms (AWS, Azure) and using ML workbenches for scalable deployment.
• Excellent analytical and problem-solving skills with innovative approaches.
• Strong verbal and written communication skills to present complex findings clearly to diverse audiences.

The successful candidate should also:

• Hold a relevant degree (B.Sc., B.Eng., M.Sc., M.Eng., Ph.D., or D.Eng.) in Computer Science, Physics, Statistics, Mathematics, or related fields, with AI experience.
• Be passionate about responsible AI and stay current with latest developments.
• Be team-oriented, proactive, and collaborative.
• Be detail-oriented, highly organized, and eager to learn.
• Capable of working in a fast-paced, dynamic environment.
• Fluent in English.
• Willing to work in CET and ET time zones.

Why Join Us?

• Innovative Environment: Work with cutting-edge responsible AI technologies in a high-visibility Roche program.
• Growth Opportunities: Engage in professional development on high-impact, enterprise-level objectives.
• Collaborative Culture: Join a diverse, inclusive team that values innovation and teamwork.

Who we are

A healthier future drives us to innovate. Over 100,000 employees worldwide are dedicated to advancing science, ensuring access to healthcare, and making a global impact through our medicines and diagnostics.

Let’s build a healthier future, together.

Roche is an Equal Opportunity Employer.