Postdoctoral Fellow, AI/ML (BHN - Chicago) at Chan Zuckerberg Biohub

Chicago, Illinois, United States

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Not SpecifiedCompensation

Entry Level & New GradExperience Level

Full TimeJob Type

UnknownVisa

Biotechnology, Life SciencesIndustries

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
Excellent problem-solving skills and ability to work independently
Experience in computational structural biology, with a focus on 3D molecular modeling, protein-ligand interactions, and the application of machine learning techniques to predict and analyze molecular structures
Strong quantitative background in computer science, computational chemistry, or biophysics, with demonstrated applying machine learning techniques to structural biology problems

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

Skills

Key technologies and capabilities for this role

Machine LearningAIComputational Structural Biology3D Molecular ModelingProtein-Ligand InteractionsBiological Sequences ModelingProtein Complexes ModelingComputational ChemistryBiophysics

Questions & Answers

Common questions about this position

What is the location for this Postdoctoral Fellow position?

This role will be based out of the Chicago location.

What are the essential qualifications for this role?

Candidates need a PhD in Computer Science, Computational Biology, Chemistry or a related quantitative field, 2 years applying deep learning to model biological sequences and structures, strong knowledge of molecular and protein modeling tools like AlphaFold and Boltz, biological sequence foundation models like ESM2 and EVO, proficiency in high performance computing, experience with PyMol, and a history of clean reproducible code with excellent problem-solving skills.

What is the salary or compensation for this position?

This information is not specified in the job description.

What is the company culture like at Chan Zuckerberg Biohub Network?

The organization values diversity of thought, ideas, and perspectives to enable disruptive innovation and scholarly excellence, and is committed to cultivating an environment where all colleagues feel inspired and know their work makes an important contribution.

What makes a strong candidate for this Postdoctoral Fellow role?

A strong candidate will have experience in computational structural biology focusing on 3D molecular modeling, protein-ligand interactions, and applying machine learning to predict molecular structures, along with a strong quantitative background in computer science, computational chemistry, or biophysics.

Chan Zuckerberg Biohub

Nonprofit research center for disease understanding

About Chan Zuckerberg Biohub

The Chan Zuckerberg Biohub focuses on biomedical research and technology development. It collaborates with top universities to study the basic mechanisms of diseases and create new diagnostic tools and therapies. The Biohub combines the expertise of engineers, data scientists, and researchers to tackle complex health challenges. Unlike many research institutions, it emphasizes a collaborative approach, pooling resources and knowledge from multiple prestigious universities. The goal of the Chan Zuckerberg Biohub is to advance scientific understanding and improve health outcomes through innovative research.

San Francisco, CaliforniaHeadquarters

2016Year Founded

VENTURE_UNKNOWNCompany Stage

Data & Analytics, BiotechnologyIndustries

51-200Employees

Benefits

Health Insurance

Life Insurance

Disability Insurance

401(k) Company Match

Family Planning Benefits

Fertility Treatment Support

Childcare Support

Unlimited Paid Time Off

Paid Vacation

Risks

Expansion may strain resources and management capabilities.

Potential ethical concerns with AI model reliance.

Collaboration with multiple universities could lead to intellectual property disputes.

Differentiation

CZ Biohub unites top universities for collaborative biomedical research.

Focus on AI-driven models for disease detection and treatment.

Pioneering cellular endoscopes for early disease monitoring and intervention.

Upsides

Expansion into New York enhances collaboration with leading institutions.

AI initiatives align with growing trends in drug discovery and precision medicine.

Genomic training initiatives support underrepresented medical students.

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