AI Scientist (Protein foundation models)

Role overview

Lead research and development of machine learning methods for protein and other biomolecular problems, including structure prediction, sequence generation, and function prediction. The work spans the full research cycle—from shaping questions and running experiments to communicating results and deploying useful solutions—alongside collaboration with users and research partners.

Responsibilities

- Develop deep learning and other algorithmic approaches for protein and biomolecular tasks. - Plan and conduct research projects, then present findings and help put successful methods into use. - Coordinate collaborative research, including communication with stakeholders and organizing contributors. - Work with users on projects and help shape and implement product features based on their needs. - Share findings through talks, papers, blog posts, or similar formats, and stay current with relevant research and laboratory methods.

Requirements

- PhD and experience applying AI or machine learning to biomolecules. - Independent research record, including publications in leading machine learning venues. - Strong Python skills and experience with a deep learning framework such as PyTorch or JAX. - Deep knowledge of neural networks for biomolecules, especially protein structure architectures, protein language models, or diffusion models. - Familiarity with bioinformatics methods such as sequence alignment, homology search, structure analysis, phylogenetics, PSSMs, and HMMs. - Knowledge of protein engineering laboratory methods, plus strong communication and collaboration skills.

Nice to have

- Practical experience in antibody or enzyme engineering, especially across high-throughput design and testing. - Production ML experience, including GPU or cluster management and API design; molecular dynamics experience. - Experience with LLMs or retrieval-augmented generation, product design, grant writing, or industrial collaborations.

Benefits and work setup

- Full-time remote role, based in the USA or Singapore. - Competitive base salary, equity, and health and dental insurance.