Machine Learning Research Scientist/Engineer, AI/ML for Drug Discovery - Remote

Overview

Atomwise is a TechBio company leveraging AI/ML to revolutionize small molecule drug discovery. The Atomwise team invented the use of deep learning for structure-based drug design; a core technology of Atomwise’s best-in-class AI discovery and optimization engine, which is differentiated by its ability to find and optimize novel chemical matter.

In Short

• Develop and implement novel deep learning models for molecular property prediction, design and optimization, and virtual screening.
• Design and execute experiments to evaluate the performance of generative models.
• Collaborate with cross-functional teams of chemists, biologists, and software engineers.
• Conduct in-depth analyses of model outputs and performance metrics.
• Stay up-to-date with advancements in machine learning and computational chemistry.
• Contribute to the development of scalable machine learning infrastructure.
• Explore and implement innovative techniques for multi-objective optimization.

Requirements

• Ph.D. in Computer Science, Machine Learning, Computational Chemistry, Bioinformatics, or a related field.
• Hands-on experience with graph neural networks and generative modeling.
• Proficiency in designing and implementing machine learning architectures in PyTorch.
• Strong problem-solving and analytical skills.
• Experience with collaborative software engineering.
• Demonstrable communication and collaboration skills.
• Publication record in relevant conferences and journals is highly desirable.

Benefits

• Competitive salary, commensurate with experience.
• Stock compensation plan.
• Platinum health, dental, and vision benefits.
• 401(k) retirement plan with generous company match.
• Flexible paid time off (PTO) and wellness breaks.
• Funding for professional development and conference attendance.
• Flexible work schedule.
• Generous paid parental leave.