About Roche
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. As part of this initiative, 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. By driving the responsible deployment of AI solutions through the AI CoE, we support the development, scaling and adoption of trustworthy solutions to achieve exponential health benefits for patients, health systems, and societies globally.
Key Responsibilities
Responsible AI Development: Collaborate with data scientists, AI engineers, developers, 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 regulatory standards.
Automated AI risk evaluations: Design, develop, and integrate tools that support the automated evaluation of risks in LLM models and AI solutions.
Compliance and Risk Management: Develop automated frameworks and tools to support compliance and risk management at scale.
Performance Evaluation: Implement and refine techniques to evaluate the accuracy of AI outputs, promoting value consideration in AI solutions.
Bias Mitigation: Implement and refine techniques to identify, mitigate, and monitor biases in AI outputs, promoting fairness and inclusivity in AI applications.
Understanding of Roche’s Ethical Principles: Develop tools and frameworks to integrate Roche’s ethical principles into the development and deployment of AI solutions.
Exploratory Data Analysis (EDA): Perform thorough data exploration to understand the behavior of different AI models and solutions. Synthesize information scientifically using statistical and visualization techniques to support recommendations.
Software Development: Apply software development best practices, including unit testing, CI/CD pipelines, ensuring robust logging, experiment tracking, and model monitoring.
Stakeholder Communication: Translate complex technical results into clear, actionable insights for stakeholders, driving data-driven decision-making across the organization.
Practical Skills Required
Experience: 5+ years working with advanced machine learning algorithms and at least 1 year of hands‐on experience with Generative AI; experience in responsible AI practices preferred.
Technical Skills: Advanced proficiency in Python and cloud knowledge; familiarity with responsible AI frameworks and tools considered an advantage.
Evaluation Metrics: Deep understanding of model evaluation techniques, including performance, bias, toxicity, explainability, transparency, cost/value.
Statistical Knowledge: Strong background in statistics, machine learning algorithms, and optimization techniques.
Feature Engineering & Prompt Engineering: To improve model performance.
Deployment: Experience in deploying AI models with cloud platforms (AWS, Azure) and machine learning workbenches for robust and scalable productization.
Problem Solving: Excellent analytical skills and the ability to tackle complex challenges with innovative solutions.
Communication: Strong verbal and written communication skills, with the ability to present complex findings clearly to both technical and non‐technical audiences.
Desired Qualifications
Hold a B.Sc., B.Eng., M.Sc., M.Eng., Ph.D., or D.Eng. in Computer Science, Physics, Statistics, Mathematics, or an equivalent degree and experience with Artificial Intelligence.
Be passionate about responsible AI and stay up‐to‐date with the latest developments.
Be team‐oriented, proactive, and collaborative.
Be an excellent problem solver and analytical thinker.
Be detail‐oriented and highly organized.
Be willing to learn and expand their skill set.
Have the ability to work collaboratively in a fast‐paced, dynamic environment.
Be fluent in English.
Be based in or near Madrid, with availability to work in a hybrid model (50% onsite).
Be willing to work at a time consistent with CET and ET time zones.
Why Join Us?
Innovative Environment: Work on cutting‐edge responsible AI technologies in a highly visible Roche AI program. Learn and experiment with state‐of‐the‐art AI technologies and frameworks.
Growth Opportunities: Opportunities for professional development by working on high‐impact objectives at the Enterprise level.
Collaborative Culture: Be a part of a diverse and inclusive team that values collaboration and innovation.
Additional Information
Let’s build a healthier future, together.
Roche is an Equal Opportunity Employer.
#J-18808-Ljbffr