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AstraZeneca

Senior Real World Data Scientist

Mississauga, ON, Canada
Canada - Mississauga, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 8, 2026
Posting language: English
Posted: Nov 4, 2026

Original job description

This is what you will do:

The Epidemiology and Real‑World Science team in Alexion–AstraZeneca’s Rare Disease Unit accelerates patient access to innovative medicines by advancing the scientific use of Real World Data (RWD). In this role, you will apply RWD to support the rare disease portfolio, aligned with AstraZeneca best practices and standards. Building on AstraZeneca’s strong Real World Evidence (RWE) foundation and internal data assets, the team is expanding through a dedicated Real World Data Science capability.

Successful candidates will tackle challenging problems with innovative methods to deliver Real World Insights and Evidence for stakeholders in Clinical Development, Regulatory, and Patient Safety. The ideal candidate is a curious, self‑directed learner with a proven record of deriving value from routinely collected healthcare or observational data, delivering health analytics across Public Health, Pharmaceutical R&D, Commercial/Payer, and Patient Safety.

You will provide methods expertise, lead and support analyses of RWD, and guide study design, data source selection, and best practices in RWD utilization, emphasizing patient safety.

You will also help shape Alexion/AZ’s RWS data strategy by supporting due diligence on data vendors and offering informatics support for Therapeutic Area data acquisitions.

You will be responsible for:

Deliver/Implement and support advanced secondary analyses of data from EMR, claims and primary observational data required by Therapeutic Area (TA) RWE strategies

Comfortable working in a rapid analytics environment alongside stakeholders to ideate appropriate/impactful analysis along with implementation

Provide clear technical input, options and directions to support strategic decisions made by AZ observational study teams on study design, data partner selection and best practices in RWE data utilization

Monitor work performed by contract personnel and vendors

Maintain a strong insight into the capabilities of potential external partners in RWE, especially for US and emerging markets.

Demonstrate best practice in Real World Data Science across multiple domains, and/or stakeholder groups.

You will need to have:

Minimum of master’s degree in Biostatistics, Epidemiology, Public Health, Statistics, Mathematics, Data Science, or related field with at least 3 years in the pharmaceutical industry, biotechnology, or consulting environment.

The duties of this role are generally conducted in an office environment. As is typical of an office-based role, employees must be able, with or without an accommodation to: use a computer; engage in communications via phone, video, and electronic messaging; engage in problem solving and non-linear thought, analysis, and dialogue; collaborate with others; maintain general availability during standard business hours.

We would prefer for you to have:

This is a hands-on role – so be excited to code!

Enthusiastic about building on and learning new methods and ways to use real world data to change the practice of medicine

Demonstrated ability to build long-term relationships with stakeholders, understand relevant scientific/business challenges at a deep level and translate into a programme of data science activities to deliver value to the business

Hands-on experience with EMR, disease registries, and/or insurance claims databases

Experience with in clinical data standards, medical terminologies and controlled vocabularies used in healthcare data and ontologies (ICD9/10/SNOMED)

Experience in supporting pharmacoepidemiology studies with proven track record of advancing approaches with statistics/machine learning/data science

Ability to lead & handle multi-disciplinary data science projects

Proficient in SQL

Proficient in at least one of R, Python

⠀

Annual base salary for this position ranges from 109,148.80 to 143,257.80.

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

You will lead and support advanced secondary analyses of real-world data to provide insights for clinical development, regulatory, and patient safety stakeholders. Additionally, you will guide study design, data partner selection, and contribute to the company's data strategy.

Requirements

Candidates must hold at least a master's degree in a quantitative field such as Biostatistics, Epidemiology, or Data Science. A minimum of 3 years of experience in the pharmaceutical, biotechnology, or consulting industry is required, along with proficiency in SQL and R or Python.

Skills

Real World Data
Real World Evidence
Biostatistics
Epidemiology
Data Science
SQL
R
Python
Machine Learning
Clinical Data Standards
Pharmacoepidemiology
EMR
Claims databases
Disease registries
Medical terminologies
Study design

Benefits

Flex Benefits
Retirement Savings Program
Paid vacation
Personal Days
Variable Pay Bonus
Short Term Incentive
Equity-based long-term incentive program

Visa sponsorship

Not detected in the job text

Keywords

Real World Data
Real World Evidence
Biostatistics
Epidemiology
Data Science
SQL
R
Python
Machine Learning
Clinical Data Standards
Pharmacoepidemiology
EMR
Claims databases
Disease registries
ICD9
ICD10
SNOMED
Rare Disease
Clinical Development
Regulatory
Patient Safety
Observational Data
Data Strategy
Informatics
Public Health
Pharmaceutical R&D
Commercial
Payer
Study Design
Ontologies

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