Description
Syneos Health is seeking a Statistical Programmer to join their Clinical Solutions team. The successful candidate will use SAS or other software to develop custom programming code to generate summary tables, data listings, graphs, and derived datasets as specified in the statistical analysis plan and programming specifications.
Responsibilities:
- Develop custom programming code using SAS or other software to generate summary tables, data listings, graphs, and derived datasets
- Perform validation programming and work with other programmers, biostatisticians, and project team members to resolve discrepancies or findings
- Maintain well-organised, complete, and up-to-date project documentation, testing, and verification/quality control documents and programs
- Manage scheduling and time constraints across multiple projects, set goals based on priorities, and adapt to timeline or priority changes
- Develop specifications for datasets and outputs of any complexity according to statistical or sponsor requirements
- Conduct effective internal meetings and distribute relevant information in advance
- Display willingness to work with others and assist with projects and initiatives as necessary
- Be accountable for on-time delivery across concurrent programming deliverables
- Act as the lead statistical programmer and direct the programming activities of other programming personnel
- Review project documentation and provide feedback to project team members
- Participate in sponsor meetings, kickoff meetings, and bid defense meetings as required
- Contribute to the mentoring of programming personnel and develop training courses
- Maintain a good working knowledge of clinical drug development, industry standards, and electronic submission requirements
- Work cooperatively with other biostatistics and statistical programming personnel to establish standard operation procedures
- Contribute technical expertise to the development of programming tools and macros
- Serve as a technical subject matter expert for CDISC and other industry and regulatory requirements
Qualifications:
- Undergraduate degree in a scientific or statistical discipline
- Extensive programming experience in SAS or other required software, preferably in a clinical trial environment
- Knowledge and experience in the use of CDISC Standards for regulatory agency requirements
- Excellent written and verbal communication skills
- Ability to read, write, speak, and understand English