Intern - Applied Statistics - Innovation & Engineering
Core
Intern applying advanced statistical methods and data science to complex challenges in pharmaceutical manufacturing, specifically for quality control, yield optimization, and regulatory submissions.
Role type
Intern, Applied Statistics & Data Science
Builds
Data science pipelines and statistical models for manufacturing operations
Domain
Pharmaceutical manufacturing / Animal Health
Deliverable
production ML models | dashboards & analysis
Required skills
DOE, SPC, GLMs, multivariate analysis, simulation, predictive modeling, machine learning, R, Python
Preferred skills
Time series analysis, stochastic processes, optimization
Responsibilities
Support end-to-end statistical projects for manufacturing challenges; Perform data quality assessments and prepare reports; Develop reproducible code and data science pipelines; Automate repeatable tasks and integrate data science into workflows
Seniority
Intern
