Intern, Supply Chain

Paladin Labs Inc.

Hobart (IN)

On-site

USD 27,552 - 34,440

Full time

14 days+

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Job summary

Par Health in Hobart, Indiana is offering an 11-week internship focused on supply chain data analytics. As a summer intern, you'll lead meetings and develop models to enhance data mining efficiency while gaining hands-on experience in the pharmaceutical industry.

This position requires enrollment in a relevant bachelor’s degree program and offers an opportunity to connect with professionals across the organization.

Qualifications

  • Enrolled in a relevant bachelor’s degree program.
  • Must have advanced knowledge of Excel.
  • Some experience with SQL is necessary.
  • Motivated self-starter operating independently.
  • Strong communication skills are required.

Responsibilities

  • Lead daily focus factory meetings to optimize manufacturing setups.
  • Perform capacity planning and scenario planning for scheduling.
  • Create models for data analysis.
  • Manage KPIs and recommend performance improvements.

Skills

Advanced knowledge of Excel
Some experience with Structured Query Language
Strong communication skills

Education

Enrolled in a bachelor’s degree program related to Economics, Data Analytics, or Supply Chain Management

Job description

About Par Health

We believe great healthcare is built on getting the essentials right. With over 4,000 team members worldwide, we lead with pride and purpose, prioritizing quality and safety while fostering a culture of continuous improvement, accountability, and teamwork.

Program Overview

The Program Par Health offers an 11-week internship program designed to provide an immersive experience in the pharmaceutical industry. As a Par Health Intern, you’ll have the chance to contribute to meaningful projects that align with your field of study. The program allows you to apply classroom knowledge in a real-world corporate setting while building valuable connections through networking opportunities across the organization.

Position Summary

The Supply Chain team has access to a great deal of data, but we do not have enough time to identify the data and use it to make proactive decisions. Our summer intern will help us develop better tools to improve our daily and weekly processes by developing models that make data mining more efficient.

Responsibilities
  • Lead our daily focus factory meeting to gain an understanding of our overall manufacturing setup and determine better possible methods for combining the data.
  • Focus on capacity planning modules and perform scenario planning to evaluate alternatives for scheduling.
  • Work in the system and help create the models.
  • Manage our daily and weekly KPIs, look for ways to analyze gaps in performance and recommend areas for improvement.
Minimum Requirements
  • Enrolled in a bachelor’s degree program related to Economics, Data Analytics, or Supply Chain Management.
  • Advanced knowledge of Excel.
  • Some experience with Structured Query Language.
  • Motivated self‑starter, operates independently.
  • Strong communication skills.
Relationship with Others / Scope of Position

Interact with our Quality and Operations teams to achieve our desired production goals.

Disclaimer

The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of employees assigned to this position.

EEO Statement

We comply with all applicable federal, state, and local laws prohibiting discrimination and harassment, and provide equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or genetic information, or any other classification protected by federal, state or local law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

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