States considered:

Michigan

Role Description:

The intern will partner closely with the Supply Chain, Manufacturing Operations, and Process Excellence teams to support Industry 4.0 initiatives by identifying manual processes, developing AI-powered automation solutions, and implementing digital tools that enhance manufacturing efficiency, quality, and data-driven decision-making across pharmaceutical production operations.

INTERNSHIP TITLE (ALL CAPS AND BOLD)

Location: City, State

AI & Digital Manufacturing Intern

KALAMAZOO, MICHIGAN

Internship Summary:

2-3 Sentences

The intern will partner closely with the Supply Chain, Manufacturing Operations, and Process Excellence teams to support Industry 4.0 initiatives by identifying manual processes, developing AI-powered automation solutions, and implementing digital tools that enhance manufacturing efficiency, quality, and data-driven decision-making across pharmaceutical production operations

Internship Job Duties:

• ~5 Bullet Points

• Collaborate with manufacturing, quality, and supply chain teams to identify manual, time-intensive processes across production lines, laboratories, and warehouse operations that are candidates for automation and digitization.
• Design and develop automation solutions using Python, RPA platforms (e.g., UiPath, Power Automate), AI/ML models, computer vision for quality inspection, and low-code platforms to streamline manufacturing workflows and reduce manual data entry.
• Analyze manufacturing process workflows, batch records, and production data to identify bottlenecks, inefficiencies, and opportunities for predictive analytics, real-time monitoring, and smart factory technologies.
• Develop user-friendly documentation, standard operating procedures (SOPs), and training materials for automation solutions to ensure successful adoption by manufacturing personnel and compliance with regulatory requirements.

Internship Qualifications:

~3-5 Bullet Points, must include specific degree requirements (degree and majors/specializations)

• Pursuing a Bachelor’s degree in Information Technology, Computer Science, Business, Supply Chain Management, Logistics or related field.
• Experience with Python programming, data analytics (SQL, Excel, Power BI), AI/ML frameworks (TensorFlow, scikit-learn), RPA tools (UiPath, Power Automate), or manufacturing systems (MES, LIMS, SAP) strongly preferred.
• Excellent communication skills with the ability to translate technical concepts to manufacturing operators, quality personnel, and cross-functional stakeholders.
• Strong problem-solving mindset with analytical thinking and attention to detail—critical for pharmaceutical manufacturing environments.
• Ability to work in a regulated pharmaceutical environment with a focus on data integrity, quality, and compliance (GMP awareness is a plus).
• Enthusiasm for Industry 4.0, smart manufacturing, and leveraging emerging technologies to drive operational excellence and continuous improvement.
• Familiarity with IoT sensors, computer vision, predictive maintenance, digital twins, or manufacturing execution systems (MES) is a plus.

 

The following hourly pay rates reflect the anticipated base pay for this position:

 

If the selected candidate is a student pursuing an Associate-level degree: $16.00 per hour

If the selected candidate is a student pursuing an Undergraduate-level degree: $20.00 per hour

If the selected candidate is a student pursing a Graduate-level degree: $32.50 per hour

If the selected candidate is a student pursuing a Doctorate-level degree: $36.00 per hour

 

 

The following hourly pay rates reflect the anticipated base pay for this position if a selected candidate were to be located in California, Connecticut, District of Columbia, Illinois (Chicago area), Massachusetts, New Jersey, New York, Washington (Seattle area):

 

Student pursuing an Associate-level degree: $17.00 per hour

Student pursuing an Undergraduate-level degree: $22.00 per hour

Student pursing a Graduate-level degree: $36.40 per hour

Student pursuing a Doctorate-level degree: $40.30 per hour

Full time

Intern (Trainee)

Colleague

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