When we bring different perspectives together, we unlock bold thinking that can help transform patients’ lives. In-person collaboration gives us the chance to connect, move quickly and challenge conventional thinking. That’s why we work, on average, a minimum of three days per week from the office, while balancing this with individual flexibility. The

Senior Manager, Forward Deployed Decision Scientist

is a hands-on role within the Decision Science group supporting Alexion’s Rare Disease Unit. Based in

Mississauga, Ontario , you will partner closely with commercial teams to turn complex business questions into analytical solutions that support HCP engagement, patient opportunity assessment and commercial effectiveness.

You will lead analytics projects from problem definition through model development, validation and implementation, collaborating with analytics leaders on priorities and methodology. You’ll bring together statistical expertise, machine learning and AI-assisted development using tools such as Snowflake Cortex AI and approved coding assistants. Patient-level analysis will use de-identified data within approved privacy, compliance and AI governance standards.

What you’ll do Statistical & Predictive Analytics

Apply statistical methods, experimental design and regression techniques to solve commercial business problems and clearly communicate findings, uncertainty and limitations.

Develop, validate and deploy predictive and machine learning models, using appropriate approaches for small samples and class imbalance common in rare disease.

Apply survival analysis, forecasting and causal inference methods to areas such as adherence, patient journeys, demand planning and commercial effectiveness.





Commercial Data Science

Develop advanced analytics solutions across marketing mix optimization, next-best-action, patient identification, adherence and retention, segmentation and competitive intelligence.

Use healthcare data sources, including claims, specialty pharmacy, CRM and other real-world datasets, to generate actionable insights.

Translate model outputs into clear recommendations that enable better commercial decision-making.

AI-Enabled Analytics

Use Snowflake Cortex AI and approved AI-assisted development tools to accelerate analytical development, feature engineering and prototyping.

Critically evaluate AI-generated code and analytical outputs for statistical accuracy, reliability and appropriate application.

Help develop evaluation approaches and guardrails that support responsible and effective use of AI in analytics.

Data Privacy, Governance & Model Quality

Work with de-identified patient-level data in accordance with applicable privacy, regulatory and organizational requirements.

Apply model explainability, bias and fairness assessments, validation, monitoring and appropriate governance controls.

Maintain clear documentation and auditability across analytical methods, models and recommendations.

Collaboration & Leadership

Lead assigned analytics projects,



manage milestones and proactively identify risks and dependencies.

Partner across Brand, Market Access, Patient Services, Field and other teams to understand business needs and translate analytics into action.

Communicate complex analytical concepts clearly to both technical and non-technical audiences.

Contribute to peer reviews, knowledge sharing and coaching across the team.

Essential Qualifications

Bachelor’s degree in Statistics, Biostatistics, Data Science, Econometrics, Applied Mathematics, Computer Science or a related quantitative field, or equivalent relevant experience.

Strong experience in data science, applied statistics or quantitative analytics, with hands-on delivery of predictive models or advanced analytics solutions.

Strong foundation in statistical modeling, machine learning, model validation and experimental design.

Proficiency in

Python and SQL , with experience using relevant statistical and machine learning libraries.

Experience working with cloud-based data and analytics platforms such as

Snowflake, AWS or Azure , or comparable technologies.

Experience applying advanced analytics to complex business problems and translating findings into actionable recommendations.

Ability to communicate effectively with technical and non-technical stakeholders.

Commitment to responsible analytics, data privacy and appropriate model governance.

Preferred Qualifications

Experience in rare disease, specialty pharmaceutical, healthcare or life sciences analytics.

Familiarity with healthcare datasets such as claims, specialty pharmacy, CRM and EMR/EHR data.

Experience with marketin

📌 Senior Manager, Forward deployed Decision Scientist (Winnipeg)
🏢 AstraZeneca
📍 Winnipeg