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Senior Real World Data Scientist

  • Mississauga, ON, Canada

Full-time

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Job details

Job type
Full-time
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Posting language
English
Posted

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.
More about this job

Responsibilities

Conduct and support advanced analyses of electronic medical records, claims, and observational data to generate real-world insights and evidence for rare disease stakeholders. Advise study teams on study design, data partner selection, and best practices, while monitoring vendors and supporting data strategy and acquisition decisions.

Requirements

A master's degree in a relevant quantitative, public health, or data science field and at least three years of experience in pharmaceutical, biotechnology, or consulting environments are required. Preferred qualifications include hands-on experience with healthcare databases, clinical data standards and terminologies, pharmacoepidemiology, multidisciplinary project leadership, SQL, and R or Python.

Skills

  • Real-World Data Analysis
  • Real-World Evidence
  • Epidemiology
  • Biostatistics
  • Pharmacoepidemiology
  • Statistical Analysis
  • Machine Learning
  • Data Science
  • SQL
  • R
  • Python
  • Electronic Medical Records
  • Insurance Claims Data
  • Disease Registries
  • Study Design
  • Stakeholder Management

Benefits

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

Visa sponsorship

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Categories

  • Data & Analytics
  • Science & Research
  • Healthcare
  • Technology

Keywords

  • Real-World Data
  • Real-World Evidence
  • Epidemiology
  • Rare Diseases
  • Biostatistics
  • Public Health
  • Pharmacoepidemiology
  • Electronic Medical Records
  • Insurance Claims
  • Disease Registries
  • Observational Data
  • Secondary Data Analysis
  • Study Design
  • Data Partner Selection
  • Data Vendor Due Diligence
  • Clinical Data Standards
  • Medical Terminologies
  • Controlled Vocabularies
  • ICD-9
  • ICD-10
  • SNOMED
  • Ontologies
  • Statistics
  • Machine Learning
  • SQL
  • R
  • Python
  • Patient Safety
  • Therapeutic Area Data Strategy
  • Healthcare Analytics

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