Postdoctoral Fellow, AIML (BHN Chicago)
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Job Location:
Chicago, IL - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
The Team
Our 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 the CZ Biohub Network facilitate research by scientists and clinicians at our home institutions and beyond
Diversity of thought ideas and perspectives are at the heart of CZ Biohub Network and enable disruptive innovation and scholarly excellence. We are committed to cultivating an organization where all colleagues feel inspired and know their work makes an important contribution.
The Opportunity
The Biohub Network is seeking outstanding early-career scientists to join and participate by continuing their training as a Postdoctoral Fellow. For this particular position the ideal candidate is expected to have 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. The candidate should have a strong quantitative background in computer science computational chemistry or biophysics with demonstrated applying machine learning techniques to structural biology problems.
This role will be based out of the Chicago location.
What Youll Do
- 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.
What Youll Bring
Essential -
- 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.
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 $84150.00.
Benefits for the Whole You
Were thankful to have an incredible team behind our work. To honor their commitment we offer a wide range of benefits to support the people who make all we do possible.
- Provides a generous employer match on employee 401(k) contributions to support planning for the future.
- 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
If youre interested in a role but your previous experience doesnt perfectly align with each qualification in the job description we still encourage you to apply as you may be the perfect fit for this or another role.
#LI-Onsite
Key Skills
- Virology
- Bioinformatics
- Genetics
- R
- Biochemistry
- Cell Biology
- Research Experience
- Spectroscopy
- Cell Culture
- Molecular Biology
- Microscopy
- Research Laboratory Experience
About Company
Learn how the CZ Biohub Network brings together researchers from across disciplines to pursue audacious, important scientific challenges.
