Data Science & Digital Innovation Intern — Build Dashboards & AI

Regeneron Pharmaceuticals, Inc.

City of Rensselaer (NY)

On-site

USD 25,000 - 35,000

Full time

4 days ago
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Benefits offered by this job

Annual bonuses
Equity awards
Pension or retirement benefits
401(k) company match
Health and wellness programs
Fitness centers
Insurance benefits (medical, dental,/|
Paid time off
Family support benefits

Job summary

Regeneron Pharmaceuticals, Inc. offers full-time onsite internship/co-op opportunities in the Rensselaer area from May/June through August. Pay is determined by education level, with an hourly range of $17.90–$25.50 for the listed locations.

Projects involve building dashboards, data visualization, statistical analyses, and AI-assisted document management. Strong coding skills and knowledge of Excel, Python or R, SQL, Power BI, and JMP are desirable.

Qualifications

  • Strong coding and analytical skills are essential.
  • Enrolled in or accepted to an Undergraduate or Graduate program and returning to school after the position.
  • GPA of 3.0 or higher preferred.

Responsibilities

  • Build dashboards and data visualization tools to analyze manufacturing data.
  • Automate statistical analyses and compare/trend data across batches, sites, and processes.
  • Use AI tools to manage documents and datasets.
  • Familiarity with Excel, Python or R, SQL, and JMP is typically required.

Skills

Coding
Analytical thinking
Data visualization
Problem solving

Education

Computer Science
Data Science
Statistics
Bioinformatics
Biomedical/Chemical Engineering
Mathematics
Industrial Engineering/Supply Chain

Tools

Excel
Python
R
SQL
Power BI
JMP

Job description

Regeneron Pharmaceuticals, Inc. offers full-time onsite internship/co-op opportunities in the Rensselaer area from May/June through August. Pay is determined by education level, with an hourly range of $17.90–$25.50 for the listed locations.

Projects involve building dashboards, data visualization, statistical analyses, and AI-assisted document management. Strong coding skills and knowledge of Excel, Python or R, SQL, Power BI, and JMP are desirable.

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