• Lead and deliver the translation of complex biological and clinical questions into actionable analysis plans. • Architect and implement robust data pipelines that integrate large-scale genomic, phenotypic, laboratory, and real-world clinical datasets. • Conduct repeatable data analysis and modeling with a high degree of scientific and statistical rigor, for complex tasks such as understanding patient trajectories, elucidating variant effect, and identifying genotype-phenotype associations. • Write clean, maintainable, and well-documented code following best practices for version control, testing, and scalability. • Prepare technical reports, peer-reviewed publications, and conference presentations to share research outcomes with internal stakeholders and the broader scientific community. • Collaborate closely with both internal and external stakeholders to drive impactful research and development initiatives. • Ensure high standards of data privacy, security, and compliance are maintained in all projects.

• Drive product analytics, production quality management, and experience optimization for Canada’s digital experience. • Collaborate closely with regional product leadership and cross-functional teams. • Perform thorough production testing across the Canada experience. • Monitor error spikes in production, coordinate timely fixes, and safeguard customer experience stability. • Track funnel metrics to measure stability and identify conversion issues. • Partner with the Canada Regional Product Lead to generate funnel analytics and insights.

• Support markets with ENSUM+(Expert Net Sales Uplift Model) modelling for Expert-related financial planning. Develop and run ad-hoc investment choice simulations to inform local decisions. Empower markets with actionable insights. • Consolidate ENSUM+ & Expert MMM learnings from markets to inform central analyses and business-wide applications Identify Expert growth drivers and support prioritization across BMCs. • Conduct data quality audits and transform Expert-related datasets for use in MMM and other analytics. Enable reliable and accurate data for value tracking and decision-making. • Transition Expert tracking data to centralised systems. Support implementation of new analytics use-cases requiring data asset access and triangulation. • Lead end-to-end analysis triangulating Expert KPIs with market share/sales data. Deliver insights to support investor relations and executive decision-making. • Design and execute new test-and-learn experiments identified in the 2026-27 roadmap. Improve predictive models and business planning assumptions. Run validation of tools/models

• Build the core measurement fabric for card expansion launches: launch readiness dashboards, KPI definitions, and scenario analyses used to evaluate partner pilots and scale decisions. • Support RFPs & commercial diligence for potential card issuance partners • Build opportunity sizings and program investment frameworks that consider opportunity size in light of estimated integration efforts • Evaluate different card onboarding, checkout and transaction processing flows to improve card acceptance, increase customer adoption and drive customer satisfaction • Participate in deep technical design discussions within the team, and across partner teams, to ensure that we're building the right systems and keeping the quality high • Partner closely with Product and Engineering leadership to establish metrics frameworks, tie results to OKRs, and drive product strategy • Build reliable self-serve dashboards and monitoring for card usage, transaction success, dispute rates, and program economics • Expand Affirm acceptance in digital wallets, leading consumer bank apps, international markets and other new checkout modalities