AI formulation Researcher Co-Op (Spring/Summer 2027)

Panther Life Sciences is seeking an AI Formulation Researcher Co-Op to apply machine learning, physical chemistry and molecular modeling to formulation and drug-delivery challenges. The role develops and evaluates predictive and generative models, translates laboratory data into experiments, and presents findings to the R&D team and leadership.

Responsibilities:

• Build machine learning models that predict formulation properties such as stability, solubility, dissolution and compatibility between actives and polymers
• Apply physical chemistry and molecular modeling, including molecular dynamics, to study the molecules we work with: small molecules, peptides, proteins and polymers
• Develop physics-based and generative models of transport, such as how formulations dissolve and diffuse through skin over time
• Work with small, high-quality experimental datasets, using synthetic data generation to augment and anchor real lab data
• Benchmark open-source foundation models and scientific AI tools, and recommend which ones Panther should adopt for R&D and formulation work
• Partner with our formulation and lab teams in Pittsburgh to turn experimental data into models, and models into experiments worth running
• Document your methods and results clearly, and present findings to the CTO and the wider team