The Chan Zuckerberg Biohub Network is seeking to understand underlying mechanisms of disease and develop new technologies for diagnostics and therapies, and is looking for a Postdoctoral Fellow to contribute to this goal with a focus on computational structural biology.
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
