Real World Biostatistician – RWA CMH Experience

Posted 3 days ago

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About the role

  • Biostatistician designing real-world evidence studies from EMR and claims data for Syneos Health. Applying causal inference, trial emulation, and statistical programming across healthcare projects.

Responsibilities

  • Design and execute real-world evidence studies using EMR and claims data
  • Conduct data specifications, statistical analysis plans, and protocols with key research objectives
  • Develop and apply robust statistical methodologies, including causal inference methods, GLM/GLMM, MMRM, survival analysis, and random forest
  • Apply trial emulation frameworks
  • Develop external control arms and borrowing strategies
  • Perform data analysis using healthcare coding systems such as ICD and NDC
  • Conduct sample size estimation and power calculations for observational and hybrid study designs
  • Collaborate with HEOR, Market Access, Regulatory, and Clinical Development stakeholders
  • Translate complex analytical results into clear, actionable insights through PowerPoint or study reports
  • Support methodological innovation in real-world evidence, including machine learning integration where appropriate

Requirements

  • M.S. or Ph.D. in Biostatistics, Statistics, Epidemiology, or related field
  • ≥5 years of experience in RWA/RWD analytics (industry or equivalent)
  • Strong experience with EMR and/or claims data
  • Proficiency in healthcare coding systems (e.g., ICD, NDC)
  • Programming expertise in at least one of: SAS, R, or Python
  • Working knowledge with SQL logic and OMOP data structures
  • Solid understanding of causal inference methods
  • Solid understanding of observational study design
  • Solid understanding of sample size and power considerations
  • Ability to independently write cohort definitions in SQL logic
  • Ability to debug data issues, including time zero alignment and exposure gaps
  • Understanding of concept mapping (ICD ↔ SNOMED ↔ RxNorm)
  • Ability to translate statistical estimands into censoring rules and data extraction logic
  • RWE CMH experience
  • Equivalent experience, skills, and/or education may be considered

Benefits

  • Career development and progression
  • Supportive and engaged line management
  • Technical and therapeutic area training
  • Peer recognition
  • Total rewards program
  • Inclusive culture
  • Reasonable accommodations when appropriate

Job type

Full Time

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Postgraduate Degree

Tech skills

PythonSQL

Location requirements

RemoteCanada

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