Job Description

• You will provide technical expertise as an experienced R programmer to develop process methodology, ensuring the department meets the needs of both internal and external clients.
• Responsibilities include planning and coordinating the development of integrated programming solutions across a broad range of statistical programming requirements.
• You will also provide technical leadership and internal consulting services, providing. specifications and conducting user needs analysis for complex projects or specific client requirements.
• Expertise in R programming and SAS Base, with good knowledge of SAS Graph and SAS Macros.
• Ability to implement advanced statistical procedures based on biostatistician specifications.
• Excellent application development skills with extensive experience in clinical trial data manipulation, analysis, and reporting.
• Strong knowledge of relational database components and theory.
• Perform all responsibilities associated with the Senior Programmer role.
• Assist Senior Programmers and Programmers in their daily activities.
• Act as the escalation point for Senior Programmers and Programmers.
• Regularly communicate with sponsors regarding the programming aspects of the project, anticipating issues proactively and collaborating on resolutions.
• Provide input and/or write programming specifications.
• Serve as a subject matter expert on all aspects of SAS and R programming.
• Develop consistent practices for clinical and statistical review of outputs, mentoring programming staff.
• Ensure consistency across therapeutic areas and oversee the implementation of process improvement initiatives.
• Maintain expertise with SAS Macros & R and prioritize macro development .

• Bachelor's degree required, preferably in science or mathematics-related fields.
• Minimum of 5 years of experience in statistical programming in the pharmaceutical or medical device industries .
• Experience as a technical team lead, directly engaging clients and coordinating tasks within a programming team.
• In-depth knowledge of clinical research regulatory requirements, including Good Clinical Practice (GCP) and ICH guidelines.
• Advanced knowledge of R programming, SAS/BASE, SAS/MACRO, SAS/STAT, SAS/GRAPH, SAS/ACCESS, SAS/ODS, SAS/SQL.
• Familiarity with SDTM and ADaM implementation in accordance with CDISC standards.
• Strong organizational, interpersonal, leadership, and communication skills.
• Ability to independently manage tasks and projects while delegating work to team members.
• Excellent attention to detail and problem-solving abilities.

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