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About the Role
This role offers the opportunity to apply cutting-edge statistical and modeling techniques that directly accelerate drug development and approval at a global scale. You will drive root cause analysis, process improvement, and strategic deployment initiatives with a high degree of autonomy, while collaborating with manufacturing, quality, and executive stakeholders.
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
- May manage direct reports at this level
Requirements
- 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
- Strong written and oral communication skills, with demonstrated ability to present to executive audiences
- Principal: 7+ years of relevant experience
- Staff: 9+ years of relevant experience
- May consider equivalent combination of education and experience.
Skills
- Bayesian modeling
- Kinetic modeling
- Multivariate regression
- Design of experiments
- Difference and equivalency testing
- Control charts
- Business analytics
- Data storytelling
- Coding
- Automation of statistical analyses
- Dashboard reporting workflows
- JMP
- Minitab
- R
- SAS
- Power BI
- Tableau
Location
- Troy, New York, United States
Work Type
- Onsite
- Monday - Friday 8am - 4:30p
Experience Level
- Principal
- Staff
Education Level
- Master’s degree in Statistics, Mathematics, or a related field
Salary/Compensations
- $103,300.00 - $197,500.00
Benefits
- Annual bonuses or other incentive plans
- Equity awards
- Pension or retirement benefits
- 401(k) company match
- Health and wellness programs
- Fitness centers
- Insurance benefits (e.g. medical, dental, vision, life and disability)
- Paid time off
- Family support benefits
About the Company
- Regeneron uses science and innovation to develop life-changing medicines for people with serious diseases.
- We believe we do our best work when we are together. For that reason, many roles are required to be performed on‑site.
Equal Opportunity
- Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, sexual orientation, gender identity or expression, gender reassignment, marital or civil partnership status, civil status, pregnancy or parental status, age, disability, nationality, citizenship status, ethnic or national origin, membership of the Traveler community, familial status, genetic information, military or veteran status, or any other characteristic protected under applicable law.
- Where required, we will provide reasonable accommodation to applicants with known disabilities or chronic illnesses during the recruitment process, unless such accommodation would impose undue hardship.