Biohub is leading the new era of AI-powered biology to cure or prevent disease through its 501c3 medical research organization, with the support of the Chan Zuckerberg Initiative, by understanding underlying mechanisms of disease and developing new technologies that will lead to actionable diagnostics and effective therapies.
Requirements
- PhD in Computer Science, Computational Biology, Chemistry or a related quantitative field.
- 2 years in applying deep learning to model biological sequences and structures.
- Strong knowledge of molecular and protein modeling tools (e.g. AlphaFold, Boltz).
- Strong knowledge of biological sequence foundation models (e.g., ESM2, EVO).
- Proficiency in high performance computing systems for large-scale modeling and simulation.
- Experience with PyMol or other molecular visualization software.
- History of writing clean, well-documented, and reproducible code.
Responsibilities
- Develop and apply state-of-the-art AI/ML method to model biological sequences and structures.
- Design and implement cutting-edge computational methods for modeling 3D structures of Immune protein complexes.
- In depth analysis of computational 3D biomolecular models.
- Benchmarking structure and sequence based predictive model for downstream tasks.
- Coordinate with our lab scientists to design and optimize design and validation strategies.
- Contribute to scientific publications and presentations at conferences.
Other
- PhD in Computer Science, Computational Biology, Chemistry or a related quantitative field.
- Ability to work effectively in teams spanning computational and experimental domains.
- Excellent problem-solving skills and ability to work independently.
- Paid time off to volunteer at an organization of your choice.
- Relocation support for employees who need assistance moving
