Data Science & Digital Innovation Intern — AI-Driven Ops

Regeneron Pharmaceuticals, Inc (USA); City of Rensselaer (NY); Presencial; USD 25 000 - 35 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Annual bonuses or other incentive Plan

401(k) company match

Health and wellness programs

Fitness centers

Insurance benefits (medical, dental, V

Paid time off

Family support benefits

Resumo da oferta

Regeneron Pharmaceuticals, Inc. invites students to join our 2027 Data Science & Digital Innovation internship program in the IO PS teams in New York.

Interns work onsite from May/June to August, tackling projects that turn large manufacturing data into actionable insights and predictive analytics. Strong coding and analytical skills are valued; familiarity with Power BI, Excel, Python or R, SQL, and JMP is often required.

Qualificações

• Enrolled in or accepted to an undergraduate or graduate program and returning to school after the internship.
• Cumulative GPA of 3.0 or higher preferred.
• Strong coding and analytical abilities; familiarity with Excel, Python or R, SQL, Power BI, and JMP is typical.

Responsabilidades

• Build dashboards and data visualization tools for manufacturing data.
• Automate statistical analyses and reports.
• Compare and trend manufacturing data across batches, sites and processes.
• Explore AI tools including generative AI to streamline document and dataset management.
• Apply multivariate analyses, DOE, control charts, and forecasting where appropriate.

Conhecimentos

coding

analytical skills

Formação académica

Undergraduate/Graduate degree enrollment

GPA 3.0+

Ferramentas

Power BI

Excel

Python

R

SQL

JMP

Descrição da oferta de emprego

Regeneron Pharmaceuticals, Inc. invites students to join our 2027 Data Science & Digital Innovation internship program in the IO PS teams in New York.

Interns work onsite from May/June to August, tackling projects that turn large manufacturing data into actionable insights and predictive analytics. Strong coding and analytical skills are valued; familiarity with Power BI, Excel, Python or R, SQL, and JMP is often required.