Principal ML/AI Cheminformatics Scientist

What you'll do

• Develop and deploy robust machine learning models for molecular property prediction.
• Design and build innovative cheminformatics workflows to prioritize compounds and analyze structure-activity relationships.
• Integrate computational approaches into experimental drug discovery workflows with medicinal chemists and biologists.
• Monitor and adopt emerging AI methodologies, leading internal workshops on new techniques.
• Tailor novel algorithms and analytical strategies to Pfizer’s proprietary datasets for validated models and software tools.

What we're looking for

• PhD in Cheminformatics, Computational Chemistry, Bioinformatics, Data Science or related field with 4+ years of drug discovery experience.
• Experience applying AI methods to medicinal chemistry challenges including molecular representations, chemical fingerprints, and ADMET modeling.
• Strong proficiency in Python and hands-on experience with cheminformatics libraries like RDKit and DeepChem.
• Proven track record of creatively solving pharmaceutical research problems using computational techniques.
• Ability to communicate effectively and collaborate with diverse cross-functional teams.
• Experience delivering results in a fast-paced environment while managing multiple priorities.