Biohub
About Biohub
Biohub is leading the new era of AI‑powered biology to cure or prevent disease through its 501(c)(3) medical research organization, supported by the Chan Zuckerberg Initiative.
Team & Vision
We pursue large scientific challenges that cannot be pursued in conventional environments.
We enable individual investigators to pursue their riskiest and most innovative ideas.
The technologies developed at Biohub facilitate research by scientists and clinicians at our home institutions and beyond.
Opportunity Biohub is seeking outstanding early‑career scientists to join as a Postdoctoral Fellow in Chicago. The ideal candidate should have experience in computational structural biology, focusing on 3D molecular modeling, protein‑ligand interactions, and the application of machine learning techniques to predict and analyze molecular structures. A strong quantitative background in computer science, computational chemistry, or biophysics is required, with demonstrated application of machine learning to structural biology problems.
What You’ll Do
Develop and apply state‑of‑the‑art AI/ML methods to model biological sequences and structures.
Design and implement cutting‑edge computational methods for modeling 3D structures of immune protein complexes.
Conduct in‑depth analysis of computational 3D biomolecular models.
Benchmark structure and sequence‑based predictive models for downstream tasks.
Coordinate with lab scientists to design and optimize validation strategies.
Contribute to scientific publications and presentations at conferences.
What You’ll Bring – Essential
PhD in Computer Science, Computational Biology, Chemistry, or a related quantitative field.
2 years of experience applying deep learning to model biological sequences and structures.
Strong knowledge of molecular and protein modeling tools (e.g., AlphaFold, Rosetta).
Strong knowledge of biological sequence foundation models (e.g., ESM‑2, 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.
What You’ll Bring – Nice to Have
Ability to work effectively in teams spanning computational and experimental domains.
Prior projects focused on modeling 3D biological structures and protein‑protein interactions.
Track record of high‑impact publications in computational biology or related fields.
Familiarity with cheminformatics tools and drug‑discovery pipelines.
Compensation The Chicago, IL base pay range for a new hire in this role is $84,150.
Benefits
Generous employer match on employee 401(k) contributions.
Paid time off to volunteer at an organization of your choice.
Funding for select family‑forming benefits.
Relocation support for employees who need assistance moving.
We encourage candidates who do not meet every qualification to apply, as you may be the perfect fit for this or another role.
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Team & Vision
We pursue large scientific challenges that cannot be pursued in conventional environments.
We enable individual investigators to pursue their riskiest and most innovative ideas.
The technologies developed at Biohub facilitate research by scientists and clinicians at our home institutions and beyond.
Opportunity Biohub is seeking outstanding early‑career scientists to join as a Postdoctoral Fellow in Chicago. The ideal candidate should have experience in computational structural biology, focusing on 3D molecular modeling, protein‑ligand interactions, and the application of machine learning techniques to predict and analyze molecular structures. A strong quantitative background in computer science, computational chemistry, or biophysics is required, with demonstrated application of machine learning to structural biology problems.
What You’ll Do
Develop and apply state‑of‑the‑art AI/ML methods to model biological sequences and structures.
Design and implement cutting‑edge computational methods for modeling 3D structures of immune protein complexes.
Conduct in‑depth analysis of computational 3D biomolecular models.
Benchmark structure and sequence‑based predictive models for downstream tasks.
Coordinate with lab scientists to design and optimize validation strategies.
Contribute to scientific publications and presentations at conferences.
What You’ll Bring – Essential
PhD in Computer Science, Computational Biology, Chemistry, or a related quantitative field.
2 years of experience applying deep learning to model biological sequences and structures.
Strong knowledge of molecular and protein modeling tools (e.g., AlphaFold, Rosetta).
Strong knowledge of biological sequence foundation models (e.g., ESM‑2, 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.
What You’ll Bring – Nice to Have
Ability to work effectively in teams spanning computational and experimental domains.
Prior projects focused on modeling 3D biological structures and protein‑protein interactions.
Track record of high‑impact publications in computational biology or related fields.
Familiarity with cheminformatics tools and drug‑discovery pipelines.
Compensation The Chicago, IL base pay range for a new hire in this role is $84,150.
Benefits
Generous employer match on employee 401(k) contributions.
Paid time off to volunteer at an organization of your choice.
Funding for select family‑forming benefits.
Relocation support for employees who need assistance moving.
We encourage candidates who do not meet every qualification to apply, as you may be the perfect fit for this or another role.
#J-18808-Ljbffr