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Commercial Portfolio Analysis Intern at Life Science Cares

Job in Princeton, Mercer County, New Jersey, 08543, USA
Listing for: Wayne State University
Apprenticeship/Internship position
Listed on 2026-10-08
Job specializations:
  • Business
    Business Analyst, Business Internship, Data Analyst
Salary/Wage Range or Industry Benchmark: 25 USD Hourly USD 25.00 HOUR
Job Description & How to Apply Below

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This opportunity is available through Project Onramp
, a program to help Pell granted undergraduates gain access to paid summer internships, industry mentors, and early career training in the Life Sciences sector and related industries. We are partnered with 100+ companies across the country, and have placed 1000 students in summer internships since 2019. You can read more about us here. PROJECT ONRAMP

THIS PROGRAM HAS NO COST TO STUDENTS. IT IS FREE.

Location: Princeton, NJ (Hybrid: 4 Days On-site / 1 Day Remote)

Duration: June 1 – August 14, 2026

Compensation: $25.00 per hour

THE CORPORATE PARTNER

Our Corporate Partner is a global pharmaceutical leader. They specialize in making medicines more affordable and discovering innovative treatments to satisfy unmet medical needs across diverse communities.

THE ROLE

Joining the Specialty Pharmaceuticals (SRx) group, the intern will support projects focused on evaluating the U.S. market landscape for injectable hospital products. You will gain hands‑on experience in pharmaceutical sales/marketing and data‑driven portfolio evaluation.

RESPONSIBILITIES
  • Market Mapping: Leverage data tools (IQVIA) to evaluate the injectable hospital market and map competitor portfolios.
  • Benchmarking: Compare the partner's footprint against industry standards.
  • Modeling: Develop Excel frameworks for market analysis and wireframes for future dashboards.
  • Strategy: Prepare a final presentation identifying 3-5 growth areas for the commercial portfolio.
QUALIFICATIONS
  • Education: Current Junior (Class of 2027) pursuing a degree in Business, Marketing, or a related field.
  • Skills: Strong quantitative skills; robust Excel modeling and PowerPoint ability.
  • Requirements: Must be a
    Pell Grant Recipient for the current academic year.
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