We are searching for Senior Statistical programmers who can provide comprehensive programming expertise to support the analyses of data in the context of sponsors’ development plans and regulatory submissions. This position is primarily responsible for the design, development and implementation of technical solutions for integrating, analyzing and reporting clinical data. Statistical programmers are expected to develop collaborative relationships and work effectively within Inference. This position reports to a Statistical Programming Manager and has no direct supervisory responsibilities but provides mentoring to more junior programmers.

Primary Responsibilities :

• Communicates effectively with Inference project and functional leadership concerning project issues (e.g. data, technical, timelines).
• Ensures alignment with Project Manager and Heads of US and India Operations about priorities and scope of work assignments.       Proactively informs Project Manager and Heads of US and India Operations of issues/risks to the project and potential remediations.
• Provides comprehensive programming support for project teams, including development of programming strategies, standards, specifications and programmed analysis. Drives the development and implementation of innovative strategies and technologies to improve programming efficiency.
• Reviews key planning documents (e.g., protocol, statistical analysis plan, mock shells) to ensure alignment with development team objectives and clarity and completeness of programming assumptions and requirements.
• Supports the development of unambiguous and robust programming specifications for programming work.
• Identifies opportunities for increased efficiency and consistency within Inference. Contributes to globalization, improvement and standardization of processes, standards and tools.

Qualifications :

• Significant knowledge of SAS software (i.e. Base, Stat, Graph components) and general computing as relates to clinical drug development.
• Graduate degree and certification from SAS. Knowledge of other software (e.g. R) desired.
• At least 5 years of experience as a statistical programmer in a clinical environment
• Knowledge of the drug development process, clinical trial methodology, statistics and familiarity with global regulatory requirements
• Ability to work successfully within cross-functional teams leading to successful global regulatory filings and approvals
• Ability to be flexible and adapt quickly to the changing needs of the organization
• Ability to organize multiple work assignments and establish priorities

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We are looking for Statistical Programmers who can provide comprehensive programming expertise to support the analyses of data. This position is primarily responsible for the design, development and implementation of technical solutions for integrating, analyzing and reporting clinical data. Statistical programmers develop collaborative relationships and work effectively within Inference. This position reports to a Statistical Programming Manager and has no direct supervisory responsibilities.

Primary Responsibilities :

• Communicates effectively with functional leadership concerning project issues (e.g. data, technical, timelines).
• Provides comprehensive programming support for project teams, including development of programming strategies, standards, specifications and programmed analysis. Drives the development and implementation of innovative strategies and technologies to improve programming efficiency.
• Reviews key planning documents (e.g., protocol, statistical analysis plan, mock shells) to ensure alignment with development team objectives and clarity and completeness of programming assumptions and requirements.
• Supports the development of unambiguous and robust programming specifications for programming work.
• Identifies opportunities for increased efficiency and consistency within Inference. Contributes to globalization, improvement and standardization of processes, standards and tools.

Qualifications :

• Significant knowledge of SAS software (i.e. Base, Stat, Graph components) and general computing as relates to clinical drug development.
• Graduate degree or certification from SAS preferred. Knowledge of other software (e.g. R) desired.
• Knowledge of the drug development process, clinical trial methodology, statistics and familiarity with global regulatory requirements
• Ability to work successfully within cross-functional teams leading to successful global regulatory filings and approvals
• Ability to be flexible and adapt quickly to the changing needs of the organization
• Ability to organize multiple work assignments and establish priorities
• Excellent verbal and written communications skills

TO APPLY PLEASE SEND US AN EMAIL >