Senior RWE Programmer

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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 Azure 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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