Senior RWE Programmer

By | June 25, 2025
  • Contract
  • Remote

SimulStat

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Remote, 12-month contract with potential to renew

The Senior RWE Programmer will provide statistical/data science programming as well as technical support for RWE projects to improve programming and computing efficiency by evaluating tools and software in the use of real-world data (RWD).

Responsibilities
 

  • Provide programming support for RWE project or study to deliver the TLFs on time and support ad-hoc requests.
  • Develop and maintain necessary programming macros or tools to effectively support all programming needs:
  • Identify the macros or tools that will facilitate programing efficiency
  • Support the macro or tool development
  • Support the macro or tool implementation and maintenance.
  • Evaluate, assess and enhance computing environment system:
  • Assess new computing environment system for programming and analysis efficiency
  • Identify system bug/issue and lead the activity to enhance the system
  • Develop system training materials and work as the SME to support implementation
  • Evaluate, request and approve system upgrades
  • Propose/develop system utilities
  • Provide input to build a strong RWD environment, RWE computing environment, promote innovative solutions, operational excellence and develop efficient processes and standards for RWE.
  • Demonstrate high level proficiency for Machine Learning (ML) and Artificial Intelligence (AI) technology, to align with future roadmap, network with other business area/analytics group to promote efficiency in the use of AI/ML.

    Qualifications:
     

    • Bachelor’s degree from an accredited institution in a technical field such as computer science or information technology; Master’s degree in biostatistics, data science or pharmaco-epidemiology preferred
    • Minimum 7 years (or Master’s degree with minimum of 4 years) proven experience within pharmaceutical industry, or CROs supporting statistical programming
    • Previous experience supporting macro and/or system utility development
    • Experience with Databricks or Google Cloud environment
    • Advanced working knowledge of R or Python, and SAS, with R Shiny development experience
    • Understanding of statistical concepts in support of analyses
    • Experience in using the RWD including registries, EMR and claims
    • Knowledge in secondary database structures
    • Experience in statistical modelling, causal inference methods (propensity scoring techniques, comparative effectiveness analysis, etc.) is preferred
    • Proven SAS programming technical skills, especially system macro development
    • Strong organizational skills, problem-solving abilities, time management skills and initiative
    • Flexibility and ability to work on several assignments simultaneously. Must be able to work independently as well as part of a team
    • Excellent English writing and oral communication  

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