Manager, Applied AI Science – Healthcare

🔥 11 hours ago

🇨🇦 Canada – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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UBC

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2003

🏥 Healthcare

💼 Consulting

🧬 Biotechnology

Healthcare • Consulting • Biotechnology

UBC is a company dedicated to improving patient outcomes by connecting specialty therapies to patients in need. They provide modern and customized solutions focusing on access, safety, and evidence generation for biopharmaceutical products. UBC specializes in evidence development, risk management, and patient access, utilizing real-world data and innovative technologies to optimize the healthcare journey and ensure effective medication use.

📋 Description

• Lead, mentor, and develop a small team of Applied AI Scientists • Provide technical and scientific guidance across the team's work • Design, develop, and refine reusable AI capabilities using machine learning, large language models, retrieval-augmented generation, AI agents, and approved enterprise AI technologies • Design solutions combining models, prompts, context, retrieval, tools, structured outputs, human review, and workflow integration • Design and execute scientific evaluations using representative datasets, reference standards, performance metrics, acceptance criteria, and statistical methods • Define expected behavior, analyze outputs and failure modes, assess uncertainty and limitations, and recommend evidence-based improvements • Develop maintainable Python code, analytical workflows, evaluation tools, and reusable software components • Collaborate with AI Architecture, Product Management, application teams, subject matter experts, Quality, and Governance • Ensure AI capabilities address operational needs and progress toward enterprise use • Stay current on advances in artificial intelligence, machine learning, statistics, and evaluation methods • Contribute to evolving practices within the AI Center of Excellence • Hire, mentor, direct the work of, and manage performance for 2–5 Applied AI Scientists

🎯 Requirements

• 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 • 5+ years of experience developing AI, machine learning, data science, or applied AI solutions in applied environments • Must have Healthcare/CRO experience • Familiarity with GxP, 21 CFR Part 11, HIPAA, GDPR, software validation, or related regulated-system expectations • Strong 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 • Strong understanding of statistics, experimental design, sampling, machine learning, model validation, uncertainty, bias, and generalizability • Experience developing capabilities using large language models, retrieval-augmented generation, prompt and context design, AI agents, tool integration, and structured outputs • Experience developing evaluation datasets and reference standards, selecting appropriate metrics, defining acceptance criteria, and analyzing performance and failure modes • Strong programming skills with the ability to develop maintainable analytical software, AI capabilities, and evaluation tooling • Understanding of how models, data, retrieval, prompts, tools, human review, and workflow context combine to shape AI system behavior • Ability to document and communicate evaluation methods, assumptions, results, uncertainty, limitations, and recommendations • Ability to connect technical decisions to enterprise architecture, long-term reuse, scalability, and business strategy • Ability to translate operational needs and workflows into structured AI capabilities and measurable evaluation questions • Advanced ability to resolve complex architecture and engineering challenges through practical and maintainable solutions • Ability to communicate architectural concepts, tradeoffs, and recommendations clearly to executives, engineers, scientists, architects, and business stakeholders • Ability to work effectively across Product Management, AI Science, Application Development, Platform Engineering, DevOps, Security, Data, Quality, and business teams • Ability to evaluate emerging technologies and evolve architectural direction while maintaining engineering discipline and operational reliability

🏖️ Benefits

• Competitive salaries • Growth opportunities for promotion • RRSP with company match* • Tuition reimbursement • Flexible work environment • Discretionary PTO (Paid Time Off) • Paid Holidays • Employee assistance programs • Medical, Dental, and vision coverage • Telemedicine (Virtual doctor appointments) • Wellness program • Adoption assistance • Short term disability • Long term disability • Life insurance • Discount programs