Principal Statistical Programmer
GSK
September 01, 2026
Remote friendly (Durham, NC)
United States
Clinical Research and Development
Role Responsibilities
- Lead programming for one or more studies, ensuring efficient development, validation, and delivery of complex analysis outputs.
- Select appropriate tools/languages and solve complex technical challenges.
- Identify and implement improvements, including use of AI/ML.
- Contribute to departmental initiatives and technical strategy.
- Ensure adherence to standards (e.g., GPP, CDISC) and regulatory requirements.
- Perform QC on critical outputs and technical documents (e.g., cSDRG, ADRG).
- Maintain governance and oversee TMF compliance.
- Drive adoption of modern technologies, standards, and Agile practices.
- Provide technical input on programming strategies and study design; act as SME for emerging tools.
- Communicate technical concepts, risks, and timelines to stakeholders.
- Mentor junior programmers and share best practices.
- Support sprint planning and cross-functional execution; manage data access appropriately.
- Serve as Lead Programmer for complex or multiple studies and proactively address risks/issues.
Qualifications (Required)
- Bachelor’s degree in Statistics, Computer Science, or related field.
- Expertise in R programming.
- 6+ years clinical programming experience.
- 5+ years in Pharmaceutical or Biotechnology industry.
- Experience using generative AI tools/coding assistants (e.g., GitHub Copilot, Codex, Claude) to improve efficiency, automation, code quality, and workflows.
Preferred
- HIV clinical trials and drug development experience.
- Advanced degree in Statistics/Computer Science/Data Science or related.
- Experience with Git-based workflows, reusable frameworks, and automation pipelines.
- R, Python, and open-source analytics experience in regulated clinical environments.
- Experience contributing to standards/process improvement/digital transformation.
- Agile delivery knowledge.
- Leadership of programming for complex studies/projects; strong CDISC/regulatory/quality knowledge.
- Excellent analytical, problem-solving, and stakeholder management skills; experience mentoring junior team members.
- Lead programming for one or more studies, ensuring efficient development, validation, and delivery of complex analysis outputs.
- Select appropriate tools/languages and solve complex technical challenges.
- Identify and implement improvements, including use of AI/ML.
- Contribute to departmental initiatives and technical strategy.
- Ensure adherence to standards (e.g., GPP, CDISC) and regulatory requirements.
- Perform QC on critical outputs and technical documents (e.g., cSDRG, ADRG).
- Maintain governance and oversee TMF compliance.
- Drive adoption of modern technologies, standards, and Agile practices.
- Provide technical input on programming strategies and study design; act as SME for emerging tools.
- Communicate technical concepts, risks, and timelines to stakeholders.
- Mentor junior programmers and share best practices.
- Support sprint planning and cross-functional execution; manage data access appropriately.
- Serve as Lead Programmer for complex or multiple studies and proactively address risks/issues.
Qualifications (Required)
- Bachelor’s degree in Statistics, Computer Science, or related field.
- Expertise in R programming.
- 6+ years clinical programming experience.
- 5+ years in Pharmaceutical or Biotechnology industry.
- Experience using generative AI tools/coding assistants (e.g., GitHub Copilot, Codex, Claude) to improve efficiency, automation, code quality, and workflows.
Preferred
- HIV clinical trials and drug development experience.
- Advanced degree in Statistics/Computer Science/Data Science or related.
- Experience with Git-based workflows, reusable frameworks, and automation pipelines.
- R, Python, and open-source analytics experience in regulated clinical environments.
- Experience contributing to standards/process improvement/digital transformation.
- Agile delivery knowledge.
- Leadership of programming for complex studies/projects; strong CDISC/regulatory/quality knowledge.
- Excellent analytical, problem-solving, and stakeholder management skills; experience mentoring junior team members.