Lead Statistical Programmer

North Davis Executive Search; United States; Remote; USD 90,000 - 120,000; Full time

Job summary

A recruitment agency is seeking a Lead Programmer to provide technical support, lead statistical programming projects using SAS and R, and mentor junior programmers. This role involves quality monitoring, oversight of complex trials, and ensuring compliance with regulatory requirements. The ideal candidate will have experience with creating macros and templates to enhance programming efficiency. They will also assist in reviewing analysis plans and generating datasets. Competitive compensation is offered.

Responsibilities

• Provide technical support and expert advice to internal staff and external sponsors.
• Lead projects for Statistical programming activities using SAS and R.
• Monitor quality, timelines, resource allocation, and productivity in relation to budgets.
• Provide oversight on complex trials and submission projects.
• Assist in the review of statistical analysis plans and create supporting documents.
• Produce and/or QC derived datasets, tables, figures, and data listings.
• Understand regulatory requirements concerning industry technical standards.
• Create SAS macros and template programs to improve efficiency.
• Mentor statistical programmers.

Job description

Lead Programmer

Responsibilities

Provide technical support and expert advice to internal staff and external sponsors.

Lead projects for Statistical programming activities using SAS and R, including assigning programming tasks to different team members, monitoring quality, timelines, resource allocation, and productivity in relation to budgets.

Provide oversight and guidance on complex trials and submission projects (including Integrated Summary of Safety or Efficacy).

Assist in the review of statistical analysis plans and TLF shells; create and/or review the ADaM and SDTM dataset specifications, CRF annotation, and other process supporting documents.

Produce and/or QC derived datasets, tables, figures and data listings.

Understand regulatory requirements concerning industry technical standards (e.g., CDISC, electronic submissions, etc.) and implications for the department.

Create SAS macros and template programs s to improve the efficiency of SAS and R programming activities.

Mentor statistical programmers.