Senior Statistical Programmer

Posted 1ds ago

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Job Description

Senior Statistical Programmer leading SAS clinical-trial programming for Syneos Health’s integrated life-sciences services. Developing SDTM, ADaM, and TLF outputs while mentoring programmers.

Responsibilities:

  • Use SAS or other software to develop custom programming code for summary tables, data listings, graphs, and derived datasets
  • Ensure outputs meet quality standards and project requirements
  • Perform validation programming and resolve discrepancies with programmers, biostatisticians, and project team members
  • Keep project team members informed of programming progress and issues
  • Follow applicable SOPs, WIs, and relevant regulatory guidelines such as ICH
  • Maintain complete, current project documentation, testing, verification, and quality-control materials
  • Manage schedules and priorities across multiple projects
  • Develop specifications for datasets and outputs according to statistical and sponsor requirements
  • Anticipate and address programming issues and define variables for peer review and sponsor/requestor approval
  • Prepare for and conduct internal meetings, distribute information and minutes, and follow action items to completion
  • Negotiate time estimates and complete study programming activities within allotted timelines
  • Act as lead statistical programmer and direct other programming personnel
  • Monitor programming deliverables and review study documentation including SAPs, mock shells, programming specifications, annotated CRFs, and SAS database designs
  • Participate in sponsor, kickoff, and bid defense meetings as the statistical programming representative
  • Mentor programming personnel through training, work reviews, feedback, and guidance
  • Transfer deliverables and perform other assigned work-related duties

Requirements:

  • 5-8 years of experience
  • End-to-end programming experience
  • Strong hands-on expertise in SDTM, ADaM, and TLF development
  • Exposure to efficacy endpoints and analyses
  • Basic understanding or training in R Programming
  • Experience in Oncology or Non-Oncology studies
  • Extensive programming experience in SAS or other required software, preferably in a clinical trial environment
  • Excellent written and verbal communication skills
  • Ability to read, write, speak and understand English
  • Graduate degree, preferably in a scientific or statistical discipline; an equivalent combination of education and demonstrated programming experience may be considered
  • Immediate joiners are preferred
  • Minimal travel may be required

Benefits:

  • Career development and progression
  • Supportive and engaged line management
  • Technical and therapeutic area training
  • Peer recognition
  • Total rewards program
  • Inclusive culture
  • Reasonable accommodations when appropriate