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Real World Biostatistician (Safety Experience)

syneoshealth

Nouveau Remote
Remote Senior 80,600 - 145,000 CAD/an 🇬🇧 English
SAS Python SQL EMR Claims data ICD NDC OMOP Survival analysis

Description du poste

About the role

Syneos Health is hiring a Real World Biostatistician with strong experience in real-world data (RWD) and observational study design, including safety study and RWE safety experience. The role supports evidence generation across multiple therapeutic areas, focusing on the design, analysis and interpretation of observational studies using EMR and claims data to inform clinical development, HEOR, regulatory strategy and market access. The position is open to all US states and Canada and is remote.

Key responsibilities

  • Design and execute real-world evidence studies using EMR and claims data
  • Write data specifications, SAPs and protocols aligned with key research objectives
  • Apply causal inference methods (propensity scores, weighting, matching; GLM/GLMM, MMRM; survival analysis; random forest) and trial emulation frameworks
  • Develop external control arms and borrowing strategies
  • Analyze data using healthcare coding systems (ICD, NDC)
  • Estimate sample sizes and power for observational and hybrid designs
  • Turn analytical results into clear insights, such as PowerPoint presentations or study reports
  • Support methodological innovation in RWE, including machine learning approaches where appropriate

Required profile

  • M.S. or Ph.D. in Biostatistics, Statistics, Epidemiology or a related field
  • At least 5 years of experience in RWD/RWE analytics (industry or equivalent)
  • Strong experience with EMR and/or claims data
  • Preferred: Ph.D.; familiarity with trial emulation, external control borrowing, hybrid designs and basic machine learning methods

Required skills

  • Proficiency in healthcare coding systems (ICD, NDC)
  • Programming in at least one of SAS, R or Python
  • Working knowledge of SQL logic and OMOP data structures
  • Understanding of causal inference, observational study design and sample size/power
  • Preferred: building cohort pipelines, optimizing queries for large databases, working across OMOP, Sentinel and PCORnet

What we offer

  • Salary range of $80,600 to $145,000, varying with qualifications and skills
  • Possible company car or car allowance
  • Medical, dental and vision health benefits
  • Company-matched 401k and employee stock purchase plan eligibility
  • Performance-based commissions or bonus
  • Flexible paid time off and sick time (eligibility depends on location)

Questions fréquentes

Le salaire proposé pour ce poste est de 81-145k CAD par an. Le détail figure dans l'annonce.
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Source : ats:workday

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