GSK Statistics Leader

Responsibilities

• Effectively manages delivery for medium‑scope projects, consistently delivering high‑quality statistical contributions against agreed timelines.
• Provides statistical leadership across projects, influencing program and study‑level strategy, design options, and development plans to improve efficiency, rigor, and impact.
• Serves as a key contributor to project planning and direction, prioritizing objectives and aligning statistical strategy with broader program goals.
• Applies technical expertise, sound judgement, and decision science principles to develop evidence‑based recommendations and proactively identify and mitigate statistical and data‑related risks.
• Leads and influences cross‑functional teams, effectively managing complex cross‑departmental issues to support project and program milestones.
• Accountable for the statistical validity and scientific integrity of data dissemination for supported programs.
• Prepares and delivers Headline Reports and related formal communications of clinical study results.
• Clearly communicates complex technical concepts to diverse audiences, including senior managers and external stakeholders, and represents or defends statistical approaches in peer review and governance forums.
• Builds and leverages strong internal and external networks across ViiV, GSK, and the wider scientific community.
• Maintains awareness of, and interest in, the application of AI, advanced analytics, and innovative methodologies in HIV drug development.
• Contributes to statistical capability building through training, mentoring, and education across the organization.

• PhD in Statistics or a related quantitative field with at least 4 years post‑degree experience, or MS/MSc in Statistics (or related quantitative field) with 7+ years of clinical development experience.
• Experience supporting clinical development in pharmaceutical, biotech, or CRO settings.
• Infectious Disease experience.
• Experience with Statistics aspects from study design to final analysis and dissemination.
• Experience with R and/or Python.

• PhD in Statistics or Biostatistics.
• Hands‑on expertise in statistical modeling and innovative methods (e.g., Bayesian approaches).
• Familiarity with causal inference and/or AI/ML methods, and demonstrated interest in applying these approaches to clinical and/or non‑clinical data.
• Strong verbal and written communication skills and presentation skills.
• Excellent interpersonal skills including relationship building and maintenance.

ViiV is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information, military service or any basis prohibited under federal, state or local law.

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