Senior Director, Rare-Disease Analytics

Biopharma Careers; Mississauga; Hybrid; CAD 135,000 - 177,000; Full time

Benefits offered by this job

Variable Pay Bonus

Equity-based long-term incentive

Flexible Benefits & Retirement Savings

Job summary

AstraZeneca Canada is seeking a senior data scientist to turn de-identified healthcare data into decisions that sharpen field execution and improve patient outcomes. You will design, validate, and deploy advanced models using cutting-edge ML and time-series methods, with HIPAA-compliant data governance.

You will work with cross-functional teams to translate statistics into actionable recommendations for Brand, Market Access, and Field teams, while ensuring interpretability and compliance across

Qualifications

• Master’s or PhD in Statistics, Biostatistics, Data Science, Econometrics, or related quantitative field.
• 7+ years in data science, applied statistics, or quantitative analytics with production-grade models in healthcare or life sciences.
• Expert-level proficiency in hypothesis testing, regression analysis, survival analysis, Bayesian inference, and experimental design.
• Strong programming in Python (scikit-learn, PyMC, SHAP) and SQL; familiarity with HIPAA-compliant data.

Responsibilities

• Set analytical standards across hypothesis testing, regression, and experimental design with publication-grade rigor.
• Design, validate, and deploy models using XGBoost, LightGBM, RF, SVM, neural nets, and ensembles.

Skills

Advanced statistics

ML algorithms

Python

SQL

HIPAA compliance

Education

Master's or PhD in Statistics/Data Science

Tools

Snowflake Cortex AI

XGBoost

LightGBM

Cox models

Job description

AstraZeneca Canada is seeking a senior data scientist to turn de-identified healthcare data into decisions that sharpen field execution and improve patient outcomes. You will design, validate, and deploy advanced models using cutting-edge ML and time-series methods, with HIPAA-compliant data governance.

You will work with cross-functional teams to translate statistics into actionable recommendations for Brand, Market Access, and Field teams, while ensuring interpretability and compliance across