Summer 2025 - Bioanalysis Artificial Intelligence and Machine Learning Internship

Bristol-Myers Squibb - Princeton, NJ

Full-time - Intern

Princeton, NJ

Chemical Manufacturing

About the position

The internship at Bristol Myers Squibb focuses on leveraging artificial intelligence (AI) and machine learning (ML) to enhance pharmaceutical research and development, particularly in the area of chiral separation for drug candidates. The role involves hands-on experience in computer programming, data analysis, and chromatographic separation, contributing to innovative research that aims to accelerate drug development processes.

Responsibilities

• Compile a dataset of CelMod/LDD chiral compounds with known chromatographic conditions and enantioresolution on a specific chiral column.
• Calculate relevant molecular descriptors that capture the stereochemical properties of the chiral compounds.
• Develop a preliminary ML model to correlate molecular descriptors with experimental enantioresolution (Rs).
• Train the ML model using experimental data to assess its predictability for chiral separation (Rs).
• Analyze experimental enantioresolution data along with multiple chiral recognition mechanisms to provide insights for chiral separation.

Requirements

• Computer science background, preferably at M.S. or PhD student level.
• Experience in model development, coding, and data analysis using Python, Java, or other programming languages.

Benefits

• Competitive benefits and services to support employee goals at work and in personal lives.