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 PositionAt Roche, we advance science so that we all have more time with the people we love. Positioned within our Data Management team, a core function of Product Development Data Sciences (PDD), you will help us lead the industry in speed, quality, and efficiency. By joining us, you step into an innovative environment where we build cutting-edge tools, automation, and next-generation technologies that streamline clinical trial data collection and delivery, accelerating the release of life-saving medicines to patients worldwide.
As a Senior Technical Specialist with a focus on Agentic AI, you will design and deploy autonomous AI agents and multi-agent systems to transform how clinical trial data is processed. You will bridge the gap between state-of-the-art LLM orchestration and strict pharmaceutical regulatory standards, building systems that automate clinical data cleaning, validation, and analysis. This is your chance to shape a modern, scalable ecosystem where your engineering solutions directly drive GxP-compliant, high-impact clinical decisions.
The Opportunity:
Design and deploy sophisticated agentic workflows using frameworks such as LangGraph, CrewAI, or AutoGen to automate complex clinical data management tasks.
Build collaboration systems where specialised agents (e.g., Planner, Validator, and Protocol Reviewer) resolve end-to-end data challenges through high-quality, testable code and CI/CD pipelines.
Apply systematic prompt engineering techniques (including Chain-of-Thought, ReAct, and Reflection) to guarantee high-fidelity outputs in a clinical context.
Deploy AI agents into our cloud environment (AWS) while building and enhancing scalable applications that capture, move, and prepare scientific data.
Partner with Data Integrity and Quality teams to ensure all agentic decisions are traceable, reproducible, and fully compliant with regulatory standards.
Create reliable "Human-in-the-loop" (HITL) workflows and tool-calling agents to solve complex, highly regulated data challenges.
Who You Are:
You are a strategic, forward-thinking engineer who thrives at the intersection of full-stack engineering, advanced AI orchestration, and real-world scientific impact. You enjoy solving intricate technical challenges, value model reproducibility, and bring clear, collaborative communication to a global team.
To be successful in this role, you bring:
5+ years’ experience and a Bachelor’s or advanced degree in Computer Science, Machine Learning, Engineering, or Biomedical Informatics, alongside 8+ years of experience delivering AI/ML solutions plus 3+ years in full-stack software and data engineering.
Deep proficiency in Python and hands-on experience with AI orchestration frameworks like LangGraph, CrewAI, AutoGen, or LlamaIndex.
Solid experience with modern data engineering (SQL/NoSQL, APIs), Vector Databases (e.g., Chroma, Pinecone), and optimizing RAG pipelines.
Strong experience deploying AI systems on AWS, containerization (Docker, Kubernetes), CI/CD pipelines, Git, and service observability (logging, tracing, metrics).
A strong understanding of model reproducibility, interpretability, and validation best practices within highly regulated environments.
Excellent problem-solving capabilities with the ability to explain complex technical concepts clearly to diverse global stakeholders.
Preferred:
Master’s or PhD in Computer Science, AI, or a related quantitative field.
Experience in a highly regulated industry such as Healthcare, FinTech, or Aerospace.
Understanding / Showcasing practical, end-to-end implementation of security frameworks in complex agentic workflows.
Understanding of clinical trial life cycles and data standards.
Familiarity with monitoring tools for system performance, workflow analytics, and MLOps/DevOps best practices.
Contributions to open-source agentic frameworks or internal AI tooling in the automation or productivity space.
Experience to architect scalable solutions in complex environments with multiple existing system integrations.
Experience with other programming languages (e.g., C#, Java, JavaScript, R, RShiny) is considered an advantage.
Sharing your GitHub account, showcasing relevant work, is considered an advantage.
Relocation Benefits are not available for this job posting.
The expected salary range for this position based on the primary location of Mississauga is 115,328.00 and 151,368.00 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 areA 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.
