Jobs in Canada

Group jobs by employerEmail me new jobs Save this search

Added 22 days ago
SM
RQ11716 – Systems Testing/QA Specialist – Intermediate
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 22 days ago
A
Bioinformatics / Computational Biologist
Augmented
Toronto, ON
- Full-time
…biology, statistics, and computer science, working closely with wet-lab scientists, data scientists, and R&D teams to translate large-scale biological data into actionable…
Added 22 days ago
A
Senior Manager, Data Governance Implementation
Aviso
Toronto, ON
- $115,000 to $135,000 CAD / year
- Full-time
…innovation, partnership, responsibility, and community. Working with talented and energetic professionals who exemplify our values every day, you will quickly notice that our people and…
Added 22 days ago
AS
Senior Full Stack Developer (Python, Vue.js & GCP)
Aequilibrium Software Inc.
Remote, Canada
- Contract
- Remote
Strong experience with Python and Flask for backend application development.
Added 22 days ago
V
Application Developer
Virtusa
Toronto, ON
- Full-time
Experience with database management systems (e.g., SQL, NoSQL).
Added 22 days ago
Y
Data Engineer
Yochana
Calgary, AB
- Full-time
Develop and maintain data integration solutions using SQL, Python, and relevant data engineering technologies.
Added 22 days ago
NB
Student Intern
National Bank of Canada
Richmond Hill, ON
- Full-time
Solid programming skills (i.e. SAS, SQL, Python, VBA, R, Matlab, etc.).
Added 23 days ago
E
Développeur DevOps
Ericsson
Montreal, QC · Quebec, QC
- Full-time
Experience with SQL and some exposure to front-end development (TypeScript, HTML, CSS).
Added 23 days ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
Must have Class 5 driver’s license
Added 23 days ago
SM
RQ00821 – Solution Architect – CRM – Intermediate
S M Software Solutions Inc
Toronto, ON
- Internship
Hours: 7.25 hours per day, 5 days per week · Public Sector Experience: Must Have
Added 23 days ago
SM
RQ00821 – Solution Architect – CRM – Intermediate
S M Software Solutions Inc
Toronto, ON
- Internship
Hours: 7.25 hours per day, 5 days per week · Public Sector Experience: Must Have
Added 23 days ago
SM
RQ00821 – Solution Architect – CRM – Intermediate
S M Software Solutions Inc
Toronto, ON
- Internship
Hours: 7.25 hours per day, 5 days per week · Public Sector Experience: Must Have
Added 23 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week · Candidates Must Demonstrate Strong Hands-on Experience In The Mandatory Technical Skills And Responsibilities Outlined In The Must Have And General
Added 23 days ago
SM
RQ11716 – Systems Testing/QA Specialist – Intermediate
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 23 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week · Candidates Must Demonstrate Strong Hands-on Experience In The Mandatory Technical Skills And Responsibilities Outlined In The Must Have And General
Added 23 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week · Candidates Must Demonstrate Strong Hands-on Experience In The Mandatory Technical Skills And Responsibilities Outlined In The Must Have And General
Added 23 days ago
SM
RQ11716 – Systems Testing/QA Specialist – Intermediate
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 23 days ago
SM
RQ11716 – Systems Testing/QA Specialist – Intermediate
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 23 days ago
M
Associate Director, Analytics
Monks
Toronto, ON
- Full-time
Hands-on experience with programming and analytical tools such as SQL, Python, R, or similar
Added 23 days ago
NE
Junior Settlements Data Analyst
Nexus Energy
Toronto, ON
- Contract
Strong working knowledge of SQL for data extraction, querying, and analysis; experience with Python, VBA, Power BI, and database systems is considered an asset. Experience supporting…
Added 23 days ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
Must have Class 5 driver’s license
Added 23 days ago
Stage - Tunnels et ouvrages souterrains - Systèmes électromécaniques et sécurité
Hatch
Montreal, QC
Experience with or proficiency in programming languages, data management tools, or specialized numerical analysis and modelling software such as Python, VBA, SQL, MATLAB, PLAXIS, FLAC3D, or…
Added 23 days ago
KC
Senior Consultant, Microsoft Fabric Data Engineer, Data & AI
KPMG Canada
Vancouver, BC
- Full-time
Experience with Fabric Lakehouse, Data Warehouse (SQL Endpoint), OneLake, and semantic modeling.
Added 23 days ago
SI
Quality Assurance Engineer
Spait Infotech
Canada
- Full-time
Collaborate with developers, business analysts, and product teams.
Added 23 days ago
AP
Senior Manager, Forward deployed Decision Scientist
Alexion Pharmaceuticals, Inc.
Mississauga, ON
- Full-time
That’s why we work, on average, a minimum of three days per week from the office, while balancing this with individual flexibility

Alexion Pharmaceuticals, Inc.

Senior Manager, Forward deployed Decision Scientist

Mississauga, ON, Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 16, 2026
Posting language: English
Posted: Oct 17, 2026

Original job description

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.

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 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.

Why AstraZeneca

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. You’ll 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
Canada’s Most Admired Corporate Culture
Learn more about working with us in Canada
View our YouTube channel

Are you interested in working at AZ, apply today!

AstraZeneca is 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 AZCHumanResources@astrazeneca.com.

⠀

Annual base salary for this position ranges from 115,693.60 to 151,847.85.

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.

Apply on LinkedIn About employer

More about this job

Responsibilities

Lead analytics projects from problem definition through model development, validation, and implementation, applying statistical methods, machine learning, and AI-assisted tools to commercial challenges in rare disease. Partner with commercial teams to turn healthcare data and analytical results into actionable recommendations while maintaining privacy, governance, model quality, and clear communication.

Requirements

A bachelor's degree in a quantitative field or equivalent relevant experience is required, along with strong hands-on experience in data science, applied statistics, or quantitative analytics. Candidates should have expertise in statistical modeling, machine learning, validation, and experimental design; proficiency in Python and SQL; experience with cloud analytics platforms; and the ability to communicate insights responsibly to varied stakeholders.

Skills

Statistical Modeling
Machine Learning
Predictive Analytics
Experimental Design
Model Validation
Python
SQL
Snowflake
Causal Inference
Survival Analysis
Forecasting
Healthcare Data Analytics
AI-Assisted Development
Data Privacy and Governance
Stakeholder Communication
Project Leadership

Benefits

Variable Pay Bonus
Equity-Based Long-Term Incentive Program
Flexible Benefits Program
Retirement Savings Program
Four Weeks' Paid Vacation
Annual Personal Days

Visa sponsorship

Not detected in the job text

Keywords

Decision Science
Rare Disease
Statistical Modeling
Machine Learning
Predictive Analytics
Experimental Design
Regression
Survival Analysis
Forecasting
Causal Inference
Marketing Mix Modeling
Next-Best-Action
Patient Identification
Patient Adherence
Claims Data
Specialty Pharmacy Data
CRM Data
EMR/EHR Data
Python
SQL
Snowflake
Snowflake Cortex AI
Snowpark
AWS
Azure
Spark
MLflow
Power BI
Tableau
Qlik

Report this job

Work requirements

Jobs in Canada