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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