Remote AI Scientist

Description:

• Proxima is building a computational pipeline that combines state-of-the-art physics-based modeling and machine learning to revolutionize drug discovery and development.
• The company collaborates with leading biopharmaceutical companies to design, test, and optimize novel therapies for difficult diseases.
• The AI Scientist will join the machine learning team to develop advanced pipelines for designing proximity-inducing molecules.
• This role involves working with a team of machine learning engineers on unsolved problems related to representation learning of proteins, small molecules, biological networks, and genomics.
• Key responsibilities include directing the design and training of large-scale Deep Learning systems, developing novel architectures and training paradigms, collaborating with content experts from various domains, and contributing to top-tier ML conferences and journals.

Requirements:

• A MS/PhD degree in Computer Science, Statistics, Applied Mathematics, Computational Biology, Computational Chemistry, or a related subject is required; BS degrees may be considered for highly qualified candidates with significant work experience.
• A track record of contributing to novel methods for state-of-the-art Deep Learning in industry or through publications is necessary.
• Candidates should have 2+ years of experience on machine learning teams, ideally at a start-up, and 4+ years of ML research experience in industry or academia, with strong familiarity with PyTorch.
• Experience with Python is required, along with relevant experience working in a Linux/UNIX environment and basic data engineering and scripting abilities.
• The ability to understand business problems and build models that drive value while prioritizing research efforts is essential.
• Candidates must be able to clearly communicate modeling setups and results at various levels of abstraction.

Benefits:

• The position offers the opportunity to work in an interdisciplinary and research-heavy environment with a team of world-class machine learning engineers.
• Employees will have the chance to contribute to innovative solutions in drug discovery and development.
• The role includes opportunities for professional development through participation in top-tier ML conferences and journals.
• The company fosters collaboration with experts from various scientific domains, enhancing the learning experience and knowledge base.