Summer Internship in AI/ML for Chiral Separation Method Development
4 weeks ago
Transforming Pharmaceutical Research & Development with AI/ML
Bristol-Myers Squibb is at the forefront of leveraging Artificial Intelligence (AI) and Machine Learning (ML) to revolutionize Pharmaceutical Research & Development (R&D). As a Summer Intern, you will play a crucial role in enhancing multiple areas of R&D, including drug candidate selection, molecular compound design, and identification of new biomarkers.
Accelerating Chiral Separation Method Development
Traditional chiral method development using liquid chromatography (LC) or supercritical fluid chromatography (SFC) can be time-consuming and resource-intensive. This project aims to examine the potential use of AI/ML to predict enantioresolution (Rs) of CelMod/LDD drug candidates on chiral selectors (or columns) to minimize extensive chiral column screening.
Key Responsibilities:
- Create a dataset of CelMod/LDD chiral compounds with known chromatographic conditions and enantioresolution on a specific chiral column (chiral selector)
- Calculate relevant molecular descriptors, including those that capture the stereochemical properties of the chiral compounds
- Develop a preliminary ML model to correlate molecular descriptors with experimental enantioresolution (Rs)
- Use experimental data to train the ML model to assess its predictability for chiral separation (Rs)
Qualifications & Experience:
The ideal candidate for this internship should have a computer science background, preferably at M.S. or PhD student level, with experience in model development, coding, and data analysis using Python, Java, or other computer programming languages.
Join a Team of Innovators:
Bristol-Myers Squibb is committed to fostering a culture of innovation, diversity, and inclusion. As a Summer Intern, you will have the opportunity to work alongside high-achieving teams rich in diversity and contribute to cutting-edge research in the field.
Equal Opportunity Employer:
Bristol-Myers Squibb is an equal opportunity employer and welcomes applications from qualified candidates with arrest and conviction records, pursuant to applicable laws in your area.
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