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Added 1 hour ago
Director Technology, AI & Digiral Products
BrainyYack
Toronto, ON
Full-time
We're a fast-growing technology and AI advisory firm serving enterprise clients, and we're looking for a Director of Technology & Digital Transformation to lead our client-facing technology…
Added 2 hours ago
Product Manager/ Game Producer - Casino Games
Hard Rock Digital
Remote, Canada
Full-time · Remote
…launch, and performance review. Working closely with the Senior Director, Studio leadership, internal stakeholders, RGS and platform partners, and external game development studios, you…
Added 4 hours ago
Senior Technical Manager, Geotechnical Engineering
WSP in Canada
BC · British Columbia, Canada
Full-time
With an unmatched breadth and depth of engineering, advisory and science‑based expertise, our global minds unite to power local solutions.
Added 4 hours ago
Software Chief Engineer
Kepler Communications Inc.
Canada
Full-time
Our mission is to provide real-time on-orbit connectivity for critical missions, enabling a new era of data-driven intelligence and innovation. With 33 satellites launched to date, Kepler…
Added 5 hours ago
BIM Manager
GHD Group Pty Ltd
Toronto, ON
…includes processes, model development levels, authoring tools, data exchange formats, and related digital delivery…
Added 8 hours ago
Associate Clinical Representative
Jobgether
Canada
Full-time
Take on additional responsibilities and projects as assigned by the Country Director, Canada.
Added 9 hours ago
Associate Clinical Representative
Jobgether
Canada
Full-time
Take on additional responsibilities and projects as assigned by the Country Director, Canada.
Added 10 hours ago
General Repair Technician
BGIS
Sudbury, ON
Full-time
…form dispatched through to completion and records resolution data within service maintenance management database. Ensures work completed meets quality, contract response and all other…
Added 11 hours ago
General Repair Technician
BGIS
Sudbury, ON · Greater Sudbury, ON
Full-time
…form dispatched through to completion and records resolution data within service maintenance management database. Ensures work completed meets quality, contract response and all other…
Added 12 hours ago
Director, Finance Data Strategy & Stewardship
Salesforce Partner Canada
Toronto, ON
Full-time
As a member of the Controllership organisation, the Director of Finance Data Strategy & Stewardship will lead the end-to-end strategy, governance, and lifecycle management of Finance data…
Added 13 hours ago
Director, FinOps (35690)
Myticas Consulting
BC · British Columbia, Canada
Full-time
We are seeking an experienced Director, FinOps (Cloud Financial Management) to build, lead, and mature an enterprise FinOps program focused on delivering measurable and sustainable cloud…
Added 14 hours ago
Operations Manager (Civil/FTTH Construction)
Telecon
Saskatoon, SK
Full-time
Reporting to the Senior Director of Operations; the Operations Manager is responsible to lead and manage all operations of their region. This includes health and safety, finances, contract…
Added 18 hours ago
Technical Deployment Manager
Signal 1
Toronto, ON
Full-time
…along the way. You will work closely with Signal1's product, engineering, and Deployment/Partner Success teams, and with technical, clinical, and project leaders at our hospital…
Added 1 day ago
Senior Data Scientist Implementation and Codification
National Bank of Canada
Richmond Hill, ON
Full-time
As part of the Credit Risk Analytics sector, you’ll be on a team of 24 of colleagues and you’ll report to the Senior Director. Our team stands out for expertise in model development, model…
Added 1 day ago
Software Chief Engineer
Kepler Communications Inc.
Canada
Full-time
Our mission is to provide real-time on-orbit connectivity for critical missions, enabling a new era of data-driven intelligence and innovation. With 33 satellites launched to date, Kepler…
Added 1 day ago
Material & Price Estimator
Leonardo DRS
Bedford, QC
Full-time
Reporting directly to the Director, Supply Chain, the Estimator is responsible for supporting the Supply Chain team by obtaining and analyzing vendor quotations, evaluating material costs,…
Added 1 day ago
Senior Data Scientist Model Developement and Validation
National Bank of Canada
Richmond Hill, ON
Full-time
Masters or PhDs in a relevant field such as Financial Engineering, Finance, Economics, Statistics, Mathematics, Computer Science and Data Science.
Added 2 days ago
Mechanical Engineer, Industrial Projects
ABB
Montreal, QC
Full-time
Reporting to the Operations Director, you will play a strategic role in optimizing our manufacturing operations and supporting the company’s growth. You will be responsible for improving…
Added 2 days ago
Associate Director - Decision Science
AstraZeneca
Mississauga, ON · Canada - Mississauga
Full-time
…role, you will turn sophisticated, de-identified healthcare data into decisions that sharpen field execution, optimize investment, and ultimately reach those who need therapies…
Added 1 day ago
Human Resources Business Partner
WalterFedy
Calgary, AB
Full-time
…evolves to meet growth targets. This role learns and supports the Director, HR and partners across the HR functions to provide input on key performance metrics and changes required that…
Added 1 day ago
Solution Architect, Google Workspace & Gemini AI
Tundra Technical Solutions
Toronto, ON
$130,000 to $145,000 CAD / year
Full-time
…our enterprise Google ecosystem. Reporting directly to the Director of Enterprise Platforms, you will bridge the gap between high-level architectural strategy and hands-on operational…
Added 6 days ago
Systems Administrator
University of Victoria
Victoria, BC
Full-time
Reporting to the Associate Director, Data Centre Services, the Systems Administrator works as part of a team to design, build, and ensure the operational effectiveness and security of the…
Added 1 day ago
Technology Lead (Director), Enterprise Platforms and Operations
Tundra Technical Solutions
Toronto, ON
$140,000 to $145,000 CAD / year
Full-time
Service Management & Analytics: Establish and enforce rigorous Service Level Agreements (SLAs). Build data-driven performance dashboards to monitor platform health, user adoption rates, and…
Added 5 days ago
Senior Project Manager
University Health Network
Toronto, ON
Full-time
The Senior Project Manager is a leader within the Connected Care portfolio, reporting to the Director, Outpatient Strategy. UHN is embarking on it's first enterprise-wide outpatient…
Added 4 months ago
Intermediate .NET Backend Developer
RX Music
Toronto, ON
Contract
This is not a greenfield environment. You will work within a mature production system that processes real commercial data where reliability, accuracy, and performance matter.

AstraZeneca

Associate Director - Decision Science

Mississauga, ON, Canada
Canada - Mississauga, Canada

Job type: Full-time
Posting language: English
Posted: Sep 19, 2026

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Original job description

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform to connect, work at pace and challenge perceptions. That’s why we work, on average, a minimum of three days per week from the office. But that doesn’t mean we’re not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

Introduction to role:

Are you ready to bring publication-grade statistical difficulty and AI-native analytics together to uncover hidden patients, elevate commercial strategy, and improve outcomes for people living with rare diseases? In this role, you will turn sophisticated, de-identified healthcare data into decisions that sharpen field execution, optimize investment, and ultimately reach those who need therapies most.

You will join a fast-moving analytics team that pairs deep statistical expertise with modern machine learning and Snowflake Cortex AI to accelerate model development without compromising interpretability or compliance. From patient identification and adherence prediction to marketing effectiveness and causal impact, you will deliver models that are trusted by leaders and used by teams every day. Do you thrive at the intersection of analytical depth and real-world impact?

Accountabilities:

Statistical Authority: Act as the go-to guide to set analytical standards across hypothesis testing, regression, inference, and experimental design; ensure outputs meet publication-grade rigor with clear assumptions, diagnostics, and power.
Predictive Modeling: Design, validate, and deploy models using XGBoost, LightGBM, Random Forest, SVM, neural networks, and ensembles; address class imbalance with robust evaluation and calibration to drive precise commercial actions.
Time-to-Event Analytics: Build survival models (Cox, AFT, competing risks) to predict adherence, discontinuation, and patient lifetime value that inform proactive interventions.
Forecasting: Create and maintain ensemble time-series frameworks (ARIMA, Prophet, exponential smoothing, gradient-boosted) to guide demand planning, revenue scenarios, and launch-readiness decisions.
Causal Impact: Design A/B tests and apply quasi-experimental methods (DiD, PSM, synthetic control, IV, RDD) to quantify the true effect of commercial initiatives on prescribing and patient outcomes.
Marketing Mix Optimization: Develop Bayesian MMM to estimate channel-level return on investment and response curves; recommend promotional reallocations that improve impact across personal and non-personal channels.
Next-Best-Action Engines: Build and refine HCP-level recommendation systems using contextual bandits, collaborative filtering, and reinforcement learning; integrate daily actions into Veeva CRM.
Patient Identification: Train supervised classifiers on claims, labs, and specialty pharmacy data to prioritize likely undiagnosed patients and direct field resources where they matter most.
Adherence and Retention: Deploy models that detect early risk signals from dispense intervals, hub interactions, and scheduling patterns to reduce discontinuation.
Segmentation and Targeting: Construct HCP and patient segments using clustering and NLP-enriched profiles to focus engagement and tailor messaging.
Competitive Intelligence: Create real-time switching surveillance models from claims and formulary data to anticipate market dynamics and inform agile responses.
Agent-Assisted Development: Use Snowflake Cortex AI and AI coding agents to speed prototyping and feature engineering while retaining full human-led statistical validation.
Validation and Hallucination Detection: Build guardrails and evaluation suites that stress-test agent outputs, catch plausible-but-wrong reasoning, and prevent flawed insights from reaching decisions.
Agent Tuning and Evaluation: Design domain-specific prompts, benchmarks, and feedback loops to continuously improve agent analytical performance.
HIPAA-Compliant Data Operations: Work exclusively with de-identified patient-level data; implement minimum-necessary access and maintain re-identification risk assessments.
Model Guardrails and Interpretability: Implement bias detection, fairness audits, SHAP/LIME, drift monitoring, and validation gates; maintain end-to-end audit trails aligned to FDA, REMS, GDPR, SOC2, 21 CFR Part 11, and enterprise AI governance.
Cross-Functional Partnership: Translate sophisticated statistics into clear recommendations for Brand, Market Access, Patient Services, and Field teams; influence senior leaders with evidence that drives action.
Documentation and Enablement: Create meticulous documentation, code reviews, and trainings that set the standard across the analytics community and ensure sustainable, repeatable excellence.

Crucial Skills/Experience:

Education: Master’s or PhD in Statistics, Biostatistics, Data Science, Econometrics, Applied Mathematics, or a related quantitative field.
Experience: Minimum 7+ years in data science, applied statistics, or quantitative commercial analytics with a track record of deploying production-grade models in healthcare or life sciences.
Statistical Expertise: Expert-level proficiency in hypothesis testing, regression analysis (linear, logistic, mixed-effects, regularized), ANOVA, survival analysis, Bayesian inference, experimental design, power analysis, significance testing, and multiple comparison corrections. Deep understanding of when statistical methods apply, when they break down, and how to adapt for small-population rare disease contexts.
Predictive Analytics & ML: Proficiency in XGBoost, LightGBM, Random Forest, SVM, ensemble methods, neural networks, and time-series forecasting with thorough validation (cross-validation, precision-recall, ROC/AUC, calibration).
Programming & Libraries: Expert-level Python (scikit-learn, XGBoost, LightGBM, statsmodels, lifelines, scipy.stats, PyMC, CausalML, DoWhy, SHAP, PyTorch) and SQL. Proficiency with Jupyter, Git, and CI/CD integration for model deployment.
Data Platform: Proficiency with Snowflake (Snowpark Python, Snowpark Container Services, Cortex AI), Spark/PySpark, and MLflow or equivalent experiment tracking and model registry tools.
Marketing Mix & NBA: Hands-on experience building Bayesian MMM (PyMC, LightweightMMM, Robyn) and Next-Best-Action recommendation engines for pharmaceutical promotional optimization.
AI/LLM Proficiency: Experience with AI coding agents (Cortex AI, Claude Code, Copilot) for analytical development. Ability to critically evaluate agent-generated code and identify incorrect statistical reasoning.
HIPAA & Guardrails: Solid understanding of HIPAA de-identification standards, model explainability frameworks (SHAP, LIME), bias detection, and compliance with regulated healthcare data environments.
Communication: Ability to translate sophisticated statistical findings into actionable recommendations for non-technical commercial partners and senior leadership.

Desirable Skills/Experience:

Rare Disease & Specialty Pharma: Experience in rare disease or specialty pharma analytics - small-population modeling, patient identification, specialty pharmacy data, hub/PSP, REMS-related data, and high-value-per-patient environments.
Industry Data Sources: Hands-on experience with Komodo Health (open and closed claims), IQVIA (Symphony, NPA, DDD), Veeva CRM, MMIT, Model N, specialty pharmacy dispense data, and EMR/EHR data.
NLP & Deep Learning: Experience with NLP (topic modeling, NER, embeddings, text classification) and neural network architectures (RNNs, LSTMs, transformers) for healthcare analytics applications.
LLM Evaluation: Experience with RLHF concepts, benchmark design, systematic prompt evaluation, and agent reasoning quality assessment.
Visualization: Proficiency with PowerBI, Tableau, or Qlik for executive-facing dashboards and self-service reporting.

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

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

Why AstraZeneca:

Here you will use cutting-edge data platforms and modern AI methods to tackle meaningful problems for under-served patient populations, supported by teammates who value curiosity, integrity, and momentum. You will feel the energy of a nimble, entrepreneurial environment with the reach of a global biopharma, collaborating across disciplines to turn analytics into confident decisions that shape markets and care pathways. We value kindness alongside ambition, and we invest in growth that deepens both your technical mastery and your understanding of patients’ lived experiences - so your contribution scales from a single model to lasting impact.

Call to Action:

If you are ready to pair statistical excellence with AI-native speed to create sharper decisions and better outcomes, seize this opportunity to lead from the front and make your impact.

At Alexion, you will find a collaborative culture that encourages innovation and a diverse environment where your contributions are valued. You will have the opportunity to be at the forefront of rare disease research and make a meaningful difference in patients' lives.

Ready to lead and inspire? Apply now and take the first step towards a fulfilling career at Alexion, AstraZeneca Rare Disease.

⠀

Annual base salary for this position ranges from 134,708.00 to 176,804.25.

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 candidate's skills and experience, job-related knowledge, and other specific business and organizational needs. In 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.

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More about this job

Responsibilities

The Associate Director will lead the development of advanced predictive models and statistical frameworks to optimize commercial strategy and patient outcomes in rare diseases. They will partner with cross-functional teams to translate complex analytical insights into actionable business decisions while ensuring compliance with healthcare regulations.

Requirements

Candidates must hold a Master’s or PhD in a quantitative field and possess at least 7 years of experience in data science or applied statistics within the life sciences industry. Proficiency in Python, SQL, and advanced statistical modeling techniques is essential for this role.

Skills

Statistics
Machine Learning
Predictive Modeling
Python
SQL
Snowflake
Bayesian Inference
Causal Impact
Marketing Mix Optimization
Data Science
Survival Analysis
Forecasting
NLP
Data Governance
Pharmaceutical Analytics
Communication

Benefits

Flex Benefits
Retirement Savings Program
4 Weeks Paid Vacation
Annual Personal Days
Variable Pay Bonus
Short Term Incentive
Equity-based Long-term Incentive Program

Visa sponsorship

Not detected in the job text

Keywords

Decision Science
Statistics
Machine Learning
Snowflake Cortex AI
XGBoost
LightGBM
Bayesian MMM
Next-Best-Action
Survival Analysis
Causal Inference
Python
SQL
HIPAA
GDPR
Rare Disease
Pharmaceuticals
Predictive Analytics
Data Governance
SHAP
LIME
Veeva CRM
Komodo Health
IQVIA
Time-series Forecasting
Neural Networks
Clustering
NLP
Biostatistics
Econometrics
Applied Mathematics

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