About The Position

This internship focuses on applying AI/ML and data-driven approaches within the pharmaceutical and healthcare sectors. Interns will assist in implementing AI/ML models for various stages of drug development, including discovery, formulation optimization, and data analysis. A significant part of the role involves optimizing analytical lab methods, identifying opportunities for laboratory automation, and working with Laboratory Information Management Systems (LIMS) to manage experimental data.

Requirements

  • AI Implementation in R&D
  • High School diploma or GED—Required
  • Current full-time enrollment in an accredited college or university undergraduate or graduate program in Human Resources, Business Administration, Psychology, or a related field—Required
  • Minimum cumulative GPA of 3.0—Required
  • Must be at least 18 years old
  • Must be legally authorized to work in the United States
  • Must commit to the full duration of the internship (all interns must start no later than June 1, 2026 - August 28, 2026.)

Nice To Haves

  • Pharma, healthcare pre-requisites along with AI/IT experience.
  • Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field.
  • Hands-on experience in AI/ML implementation, preferably in pharmaceutical R&D.
  • Solid understanding of machine learning algorithms, data pipelines, and AI deployment.

Responsibilities

  • Assist in the implementation of AI/ML models for drug discovery, formulation optimization, and clinical or analytical data analysis.
  • Support optimization of analytical lab methods using AI and data-driven approaches.
  • Collaborate with R&D and lab teams to identify opportunities for laboratory automation and process improvements.
  • Work with Laboratory Information Management Systems (LIMS) to manage, analyze, and streamline experimental data.

Benefits

  • paid internships
  • rates starting at $20/hr

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What This Job Offers

Career Level

Intern

Education Level

High school or GED

Number of Employees

1,001-5,000 employees

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