Senior RWE Programmer

Apr; United States; Remote; USD 110,000 - 150,000; Full time

Job summary

A leading company is seeking a Senior RWE Programmer for a remote, 12-month contract role. The candidate will provide statistical programming support for RWE projects and enhance tools for data efficiency. Ideal candidates will have extensive experience in the pharmaceutical sector, with expertise in programming languages such as R and Python, as well as proficiency in machine learning technologies.

Qualifications

• 7 years experience in the pharmaceutical industry or CROs with statistical programming.
• Experience in macro and system utility development.
• Proficiency in R, Python, SAS and R Shiny development.

Responsibilities

• Provide programming support for RWE projects and deliver TLFs on time.
• Develop and maintain programming macros or tools for efficiency.
• Evaluate and enhance computing environment systems.

Skills

Statistical programming

Machine Learning

Artificial Intelligence

Problem-solving

Time management

Team collaboration

Education

Bachelor’s degree in a technical field

Master’s degree in biostatistics, data science or pharmaco-epidemiology

Tools

Azure Databricks

Google Cloud

R

Python

SAS

Job description

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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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