Post Doctoral Associate

Pledge Therapeutics Pioneers in AI-Powered Drug Discovery

We are seeking a visionary scientist to join our cutting-edge Pledge-AI team, an innovative arm under the Pledge Biosciences umbrella. The ideal candidate will drive the development of proprietary generative AI applications for groundbreaking drug discovery.

Key Responsibilities:

• Enhance and refine our proprietary generative chemistry models to unlock hit generation potential.
• Develop and deploy machine learning models for lead optimization, leveraging cutting-edge computational chemistry pipelines.
• Cultivate strategic partnerships with industry leaders to harness open-sourced and proprietary data sets for small molecule design and optimization.
• Collaborate with experts from diverse fields to integrate the nuances of drug discovery into in-silico methods.
• Embark on high-performance computing initiatives to optimize and improve our internal models, pushing the boundaries of technology.

Requirements:

• Ph.D. in Computer Science, Computational Chemistry, or a related field.
• Demonstrated expertise in developing computational and/or machine-learning methods to solve complex problems in structure-based drug discovery.
• Deep understanding of computational chemistry, computational biology, bioinformatics, and high-performance computing.
• Proficiency in Python, experience with machine learning frameworks like TensorFlow and PyTorch.
• Familiarity with chemoinformatics, molecular docking software platforms, molecular dynamics packages, and enhanced sampling techniques.
• Highest-level problem-solving skills combined with the ability to thrive in a fast-paced, collaborative environment.

What We Offer:

• A dynamic and supportive work environment that fosters innovation and growth.
• The opportunity to contribute to groundbreaking research and developments in AI-powered drug discovery.
• A competitive compensation package and comprehensive benefits.