Senior Manager, Forward deployed Decision Scientist

The Senior Manager Forward Deployed Decision Scientist is a hands-on role within the Decision Science group supporting Alexions 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. Youll 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.

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.

• Bachelors 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.

• 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 marketing mix modeling next-best-action causal inference survival analysis or patient identification.
• Experience with AI-assisted development LLM evaluation or agent-based analytical workflows.
• Familiarity with NLP deep learning or advanced machine learning approaches.
• Experience with tools such as Snowflake/Snowpark Spark MLflow Power BI Tableau or Qlik.
• Knowledge of healthcare data privacy model explainability and responsible AI principles.

Here youll use advanced data platforms analytics and AI to address meaningful challenges for underserved patient populations. Youll work in a collaborative ambitious environment that combines the agility to move quickly with the reach of a global biopharmaceutical organization.

We value curiosity integrity collaboration and different perspectives. Youll have opportunities to deepen your technical expertise broaden your understanding of patients experiences and turn analytics into decisions that can create lasting impact.

Great People want to Work with us! Find out why:

• GTAA Top Employer Award for 12 years
• Top 100 Employers Award
• Canadas Most Admired Corporate Culture
• Learn more about working with us in Canada
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Are you interested in working at AZ apply today!

AstraZenecais an equal opportunity employer that is committed to diversity and inclusion and providing a workplace that is free from discrimination. AstraZeneca is committed to accommodating persons with disabilities. Such accommodation is available on request in respect of all aspects of the recruitment assessment and selection process and may be requested by emailing.

AstraZeneca is committed to providing fair and equitable compensation opportunities to all colleagues. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The range provided in this posting represents an offer pay range used in a majority of situations. The base pay offered will vary depending on multiple individualized factors including the candidates skills and experience job-related knowledge and other specific business and organizational some cases offers outside the range may also be considered to address unique circumstances.

In addition our permanent positions offer an annual Variable Pay Bonus/Short Term Incentive opportunity as well as eligibility to participate in our equity-based long-term incentive program (if applicable to role). Benefits offered for permanent roles include a competitive Flex Benefits & Retirement Savings Program 4 weeks paid vacation and annual Personal Days. Fixed Term Contract/Temporary positions (excluding students) are offered a Contract Benefits Program.

We are using AI as part of the recruitment process.

This advertisement relates to a current vacancy.