AstraZeneca
Senior Manager, Forward deployed Decision Scientist
Canada - Mississauga · Senior · Contract
Sponsorship not specified$116k-$152kDetected 6 days ago
PythonSQLSnowflakeAWSAzureMachine LearningDeep LearningSparkData ScienceData VisualizationNLPLLMsStatisticsCRMForecastingEHR/EMRPatient CareExperimental DesignLeadershipCollaborationMentoringDemand PlanningBiostatistics
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odds of building a lasting career here
59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
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About the role
- When we bring different perspectives together, we unlock bold thinking that can help transform patients' lives.
- In-person collaboration gives us the opportunity 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.
Responsibilities
- Apply statistical methods, experimental design and regression techniques to solve commercial business problems and clearly communicate findings, uncertainty and limitations.
- Develop advanced analytics solutions across marketing mix optimization, next-best-action, patient identification, adherence and retention, segmentation and competitive intelligence.
- Help develop evaluation approaches and guardrails that support responsible and effective use of AI in analytics.
- Maintain clear documentation and auditability across analytical methods, models and recommendations.
- 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.
Requirements
- Bachelor's degree in Statistics, Biostatistics, Data Science, Econometrics, Applied Mathematics, Computer Science or a related quantitative field, or equivalent relevant experience.
Nice to have
- 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.
- Experience with tools such as Snowflake/Snowpark, Spark, MLflow, Power BI, Tableau or Qlik.
- Here, you'll use advanced data platforms, analytics and AI to address meaningful challenges for underserved patient populations.
- You'll 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.
- Great People want to Work with us!
- GTAA Top Employer Award for 12 years
Compensation
- Annual base salary for this position ranges from 115,693.60 to 151,847.85.
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.
- Develop, validate and deploy predictive and machine learning models, using appropriate approaches for small samples and class imbalance common in rare disease.
- Use healthcare data sources, including claims, specialty pharmacy, CRM and other real-world datasets, to generate actionable insights.
- 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.
Company info
- We are using AI as part of the recruitment process.
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This listing is sourced directly from AstraZeneca's careers page and normalized into a canonical job model.