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Syneos Health

Global provider of integrated clinical-to-commercial services

Sr Statistical Programmer

Quantitative Biology & BiostatisticsUpdated on Nov 13
Full-timeRemote in IndiaNo salary listedRemote

About the Job

Requirements

  • 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.
  • An undergraduate degree is preferred, preferably in a scientific or statistical discipline; equivalent education and demonstrated programming experience may be considered in lieu of a degree.

Responsibilities

  • Use SAS or other software to develop custom programming code to generate summary tables, data listings, graphs, and derived datasets specified in the statistical analysis plan and programming specifications.
  • Ensure outputs meet quality standards and project requirements; perform validation programming and work with Programmers, Biostatisticians, and other project team members to resolve discrepancies and findings; keep project team members informed of programming progress and issues requiring attention; and follow applicable standard operating procedures, work instructions, and relevant regulatory guidelines such as ICH.
  • Maintain well-organized, complete, and up-to-date project documentation, testing, verification, quality-control documents, and programs to ensure inspection readiness.
  • Manage scheduling and time constraints across multiple projects, set goals based on management priorities, and adapt to timeline or priority changes by reorganizing the daily workload.
  • Develop specifications for datasets and outputs of any complexity according to statistical and sponsor requirements; anticipate and address potential programming issues; define variables accurately to support peer review and sponsor/requestor acceptance with little rework.
  • Prepare in advance for internal meetings and contribute ideas while respecting others’ opinions.
  • Conduct effective internal meetings, distribute relevant information in advance, promptly and accurately distribute minutes, follow action items through to completion, maintain meeting focus, and work toward consensus.
  • Work with others and assist with projects and initiatives as necessary to meet business needs.
  • Negotiate accurate time estimates for study programming activities with internal team members and statistical programming management, and complete project programming activities within the allotted timeframe.
  • Act as the lead statistical programmer by directing other programming personnel’s activities and monitoring progress on programming deliverables.
  • Review project documentation, including the Statistical Analysis Plan, mock shells, programming specifications, annotated CRFs, and SAS database design, and provide feedback that reduces programming inefficiencies.
  • Participate as the statistical programming representative in sponsor, kickoff, and bid-defense meetings as required by the sponsor.
  • Contribute to mentoring programming personnel by developing and presenting training materials, reviewing work, providing feedback, and guiding new associates in processes.
  • Transfer deliverables and perform other work-related duties as assigned.
  • Travel minimally as required.

Desired Qualifications

  • Clinical trial environment programming experience.

About the Company

Syneos Health

Global provider of integrated clinical-to-commercial services

Syneos Health provides end-to-end biopharmaceutical solutions across the clinical-to-commercial spectrum. It helps biopharma companies, healthcare organizations, and investors by offering specialized expertise, insights, and technology-enabled services to move therapies faster to patients. Its offerings include Kinetic, a modern omnichannel customer engagement platform that uses targeting and analytics to coordinate nationwide healthcare communications, and Syneos One, an asset development approach that aligns strategy and execution from early concept through commercialization. The company uses AI and advanced tech to improve performance and reduce risk in drug development and market delivery. Its goal is to be a trusted partner that accelerates therapy development and delivery by combining scientific know-how with integrated, data-driven services.

Company size
10,001+
Company stage
IPO
Headquarters
Morrisville, NC
Founded
1985

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