Job Description

Job Description

As a pharmaceutical support industry leader, UBC is devoted to empowering health solutions for a better tomorrow . We take pride in improving patient outcomes and advancing healthcare . At UBC, we provide services to enhance the entire drug development process and commercialization lifecycle
- from clinical trial support to real-world evidence generation. Embark on a rewarding career journey with UBC Grow your career while making a meaningful impact on the world around you. UBC fosters a culture built on our Core Values of Respect, Accountability, Innovation, Quality, Integrity, and Collaboration. We believe in an inclusive workplace that fosters creativity. If you are seeking a career that will challenge , inspire , and reward you, join us at UBC

Job Title: IXT96I
- Manager, Applied AI Science Brief Description: Join UBC's AI Center of Excellence as a Manager, Applied AI Science, where you will lead a small team of Applied AI Scientists while remaining a hands-on technical contributor responsible for designing, developing, and scientifically evaluating reusable AI capabilities that are reliable, measurable, explainable, and appropriate for their intended use. You will partner with AI Architecture, Product Management, application teams, and business subject matter experts to translate operational needs into effective AI capabilities and measurable performance expectations. You will guide the scientific approach used to evaluate these capabilities, chartaacterize their strengths and limitations, and use empirical evidence to improve their reliability and readiness for broader enterprise use.

Specific Job Duties: Applied AI Science Leadership: Lead, mentor,



and develop a small team of Applied AI Scientists and provide technical and scientific guidance across their work.

AI Capability Development: Design, develop, and refine reusable AI capabilities using machine learning, large language models, retrieval-augmented generation, AI agents, and other approved enterprise AI technologies.

AI System Design: Design solutions that combine models, prompts, context, retrieval, tools, structured outputs, human review, and workflow integration to support defined intended uses.

Scientific Evaluation: Design and execute evaluations using representative datasets, reference standards, appropriate performance metrics, acceptance criteria, and statistical methods. AI Behavior and Performance Analysis: Define expected behavior, analyze outputs and failure modes, assess uncertainty and limitations, and recommend improvements based on evaluation evidence. Programming and Technical Implementation: Develop maintainable Python code, analytical workflows, evaluation tools, and reusable software components supporting AI development and testing.

Collaboration: Work with AI Architecture, Product Management, application teams, subject matter experts, Quality, and Governance to ensure capabilities address operational needs and can progress toward enterprise use.

Continuous Improvement: Stay current on advancements in artificial intelligence, machine learning, statistics, and evaluation methods,



and contribute to evolving practices within the AI Center of Excellence.

Supervisory Responsibility: Directly responsible for hiring, mentoring, work direction, and performance management of a small group (2-5) of Applied AI Scientists. Desired Skills and

Qualifications:

Education:

Master's degree in Computer Science, Data Science, Statistics, Biomedical Engineering, Applied Mathematics, Computer Engineering, or a related quantitative discipline. Bachelor's degree in a related quantitative discipline with significant applied AI, machine learning, or statistical experience will also be considered.

Experience:

5 years of experience developing AI, machine learning, data science, or applied AI solutions in applied environments. Must have Healthcare/CRO experience and f amiliarity with GxP, 21 CFR Part 11, HIPAA, GDPR, software validation, or related regulated-system expectations. Solid programming experience using Python, R, or a comparable language. Experience mentoring technical staff, leading scientific work, or providing technical direction across projects. Experience applying statistical methods, experimental design, or performance analysis to complex technical problems. Experience defining AI evaluation metrics, assessing the effectiveness of AI controls, and developing monitoring approaches for AI system performance and risk. Experience collaborating with software engineers, architects, product teams, and business stakeholders throughout the AI development lifecycle.

Technical Expertise: Statistics and Machine Learning: Strong understanding of statistics, experimental design, sampling, machine learning, model validation, uncertainty, bias, and generalizability.

Generative AI: Experience deve

📌 Manager, Applied AI Science (Canada)
🏢 United Biosource
📍 Canada