Senior Statistical Programmer
Posted 3hrs ago
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Job Description
Senior Statistical Programmer developing SAS clinical-trial outputs for Syneos Health, a life sciences services organization. Leading programming deliverables, validation, documentation, and mentoring.
Responsibilities:
- Develop custom programming code using SAS or other software to generate summary tables, data listings, graphs, and derived datasets according to statistical analysis plans and programming specifications
- Ensure outputs meet quality standards and project requirements
- Perform validation programming and resolve discrepancies with Programmers, Biostatisticians, and project team members
- Maintain complete, current project documentation, testing, verification, and quality-control materials for inspection readiness
- Manage schedules and priorities across multiple projects and adapt workloads to changing timelines
- Develop dataset and output specifications according to statistical and sponsor requirements
- Participate in and conduct internal meetings, distribute information and minutes, and track action items
- Lead statistical programming activities, direct other programming personnel, and monitor programming deliverables
- Review Statistical Analysis Plans, 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 review, feedback, and guidance
- Transfer deliverables and perform other assigned work-related duties
Requirements:
- Undergraduate degree, preferably in a scientific or statistical discipline; an equivalent combination of education and demonstrated programming experience may substitute for the degree
- 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
- Ability to develop specifications for datasets and outputs of any complexity
- 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


















