Staff GMP Statistician

About the role

Lead identification and implementation of strategic deployment initiatives, operating autonomously within a collaborative team environment.
Apply advanced statistical modeling methods including Bayesian and kinetic modeling to historical data to accelerate process knowledge and inform earlier go/no-go decisions.
Build, validate, and maintain automation frameworks within a GxP environment for routine statistical analyses and report generation.
Use predictive models, process simulations, and forecasting techniques to enable early signal detection, proactive risk management, and optimized resource allocation.
Drive root cause analysis and develop proactive metrics using data and statistical techniques to support continuous process improvement.
Translate complex statistical findings into clear, actionable narratives through business analytics and data storytelling for executive audiences.
Mentor colleagues within and outside the department on leading-edge statistical methodologies to deliver impactful, organization-wide results.

Responsibilities

• Lead identification and implementation of strategic deployment initiatives, operating autonomously within a collaborative team environment.
• Apply advanced statistical modeling methods including Bayesian and kinetic modeling to historical data to accelerate process knowledge and inform earlier go/no-go decisions.
• Build, validate, and maintain automation frameworks within a GxP environment for routine statistical analyses and report generation.
• Use predictive models, process simulations, and forecasting techniques to enable early signal detection, proactive risk management, and optimized resource allocation.
• Drive root cause analysis and develop proactive metrics using data and statistical techniques to support continuous process improvement.
• Translate complex statistical findings into clear, actionable narratives through business analytics and data storytelling for executive audiences.
• Mentor colleagues within and outside the department on leading-edge statistical methodologies to deliver impactful, organization-wide results.

Requirements

Principal: Masters degree in Statistics, Mathematics, or a related field and 7+ years of relevant experience
Staff: Masters degree in Statistics, Mathematics, or a related field and 9+ years
May consider equivalent combination of education and experience.

Qualifications

• High-level proficiency in statistical software such as JMP, Minitab, R, or SAS.
• Experience with business analytics platforms such as Power BI or Tableau preferred.
• Deep expertise in diverse statistical methods including multivariate regression, design of experiments, difference and equivalency testing, and control charts.
• Proficiency in coding and automation of statistical analyses and dashboard reporting workflows.
• Experience building and maintaining automation frameworks in a GxP environment preferred.

Skills

• Strong written and oral communication skills, with demonstrated ability to present to executive audiences.

Benefits

Not specified

Pay

$103,300.00 - $197,500.00 annually

Schedule

Mon-Fri | 08:00a-04:30p