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Clinical Real World Data Scientist

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Sanofi-Aventis Deutschland GmbH

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Location:
Canada , Toronto

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Contract Type:
Not provided

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Salary:

108900.00 - 157300.00 CAD / Year

Job Description:

The Clinical RWD Scientist is a critical role within the Data Assessment Center of Excellence (CoE), embedded in Sanofi's Digital RWD & HI function. This role bridges the gap between theoretical concepts to practical & reliable RWD solutions. You are an agile professional interested in challenging the status quo with deep subject matter expertise in US RWD, pharmaco-epidemiological methods and a quick learner of new data, methodology, and technology. You are a proactive team member that values cross-learning, see challenges as opportunity and can work with assumptions.

Job Responsibility:

  • Design and execute rigorous data assessment frameworks
  • Evaluating the fitness-for-purpose of real-world data (RWD) sources for insights or evidence generation across the enterprise
  • Support the development of reliable RWD Foundation and Products
  • Lead and execute feasibility assessments for RWD sources
  • Develop and apply structured data assessment frameworks to evaluate data quality dimensions
  • Assess the availability and representativeness of patient populations within RWD sources
  • Evaluate the feasibility of extracting structured and unstructured data elements from EHR systems
  • Document assessment outcomes in standardized feasibility reports and communicate findings clearly to cross-functional stakeholders
  • Identify and articulate limitations of RWD sources
  • Design methodologically sound recommendations & minimize misuse of RWD
  • Ensure appropriate use of ICD codes, procedure codes, and other medical coding standards
  • Apply advanced epidemiological and biostatistical methods
  • Provide methodological input on the use of clinical score proxies and surrogate endpoints
  • Provide methodology advises ensuring deliverables from RWD Foundation, RWD Science, and RWD Products are based on medical evidence/guidelines
  • Work closely with analysts & data scientists to ensure methodological recommendation is realistic and implementable
  • Partner with R&D, Business units & Digital teams on data identification and appropriate usage of RWD
  • Serve as the methodological point of contact for fit-for-purpose data assessment inquiries
  • Collaborate with RWD Foundation, RWD Product Owners, RWD Data Sciences
  • Manage external data vendors and technology partners

Requirements:

  • Advanced degree (Master's or PhD) in Epidemiology, Biostatistics, Health Informatics, Health Economics, Pharmacoepidemiology, or a closely related quantitative discipline
  • Minimum 4-5 years for Master’s degree holder or 2-4 years for Doctoral degree holder of relevant experience in real-world data, commercial analytics, real-world evidence, health outcomes research, fit-for-purpose feasibility assessment, data quality assessment or a related field within the pharmaceutical, biotech, or health technology industry
  • Experience in predictive modeling using RWD to identify at risk patient populations with a publication record in peer-review journals
  • Experience in patient & healthcare provider segmentation to inform Medical and Commercial strategy
  • Demonstrated expertise in epidemiological study design and statistical methods such as propensity score matching, descriptive statistics, regression analysis, predictive modelling
  • Strong proficiency in statistical programming languages: SQL, Python, R, and/or SAS
  • Solid working knowledge of Snowflake for database querying and data extraction
  • Familiarity with medical coding systems: ICD-10, CPT, SNOMED CT, LOINC, RxNorm and experience/knowledge on OHDSI OMOP CDM standardized data model for healthcare data
  • Understanding of US EHR, claims, disease registry data, public health surveillance data as well as US healthcare billing system
  • Experience with AI coding tools such as Cursor, GitHub Copilot, Claude, LLM
  • Knowledge of automation tools such as Power Automate, Power App (an asset not required)
  • Requires a high level of interactive communication with diverse stakeholders
  • Can work with assumptions & in a fast-paced environment
  • Proven teamwork and collaboration skills
What we offer:
  • High-quality healthcare
  • Prevention and wellness programs
  • At least 14 weeks’ gender-neutral parental leave

Additional Information:

Job Posted:
May 03, 2026

Expiration:
June 12, 2026

Employment Type:
Fulltime
Work Type:
On-site work
Job Link Share:

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