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Chan Zuckerberg Biohub - Chicago

Research Scientist, AI/ML (Biohub Chicago - VIS)

Chan Zuckerberg Biohub - Chicago, Chicago, Illinois, United States, 60290

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Research Scientist, AI/ML (Biohub Chicago - VIS)

The

Chan Zuckerberg Biohub Chicago

(https://www.czbiohub.org/chi)

is an independent nonprofit research institute that brings together three powerhouse universities - Northwestern University, the University of Chicago, and the University of Illinois Urbana-Champaign - into a single collaborative technology and discovery engine. CZ Biohub itself supports some of the brightest, boldest engineers, data scientists, and biomedical researchers to make breakthroughs in medicine and develop new technologies, frequently in collaboration with our partner universities. We are guided by our values of scholarly excellence; disruptive innovation; hands-on engineering/hacking/building; partnership and collaboration; open communication and respect; inclusiveness; and opportunity for all. 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 CZ Biohub Chicago 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 Chan Zuckerberg Biohub Chicago is seeking an accomplished

Research Scientist

to join our interdisciplinary AI/ML team. This role requires experience in research settings, and a proven ability to design, evaluate, and publish innovative computational methodologies that leverage machine learning, statistics, and AI to advance biological research and discovery. This is a hands-on role in a dynamic and interdisciplinary environment, with opportunities to work at the forefront of technology development and application in genomics, immunology, and AI-driven discovery. This role will be based at the CZ Biohub Chicago. The candidate should have a strong foundational understanding of biology and biochemistry with an established track record of applying AI tools to biological problems in a highly interdisciplinary environment. You’ll work in a hands-on, highly collaborative, and interdisciplinary environment spanning immunology, structural biology, and machine learning. This is a unique opportunity to help shape next-generation computational immunology tools with direct applications in human health and disease. What You'll Do Develop and benchmark predictive models of immune interactions using AI/ML, protein language models, and structure prediction tools. Validate, interpret, and stress-test model predictions using external datasets and expert biological intuition. Collaborate with lab scientists and computational researchers to ensure real-world relevance and robust model evaluation. Create intuitive visualizations and interfaces to interpret molecular interactions and support downstream experimentation. Contribute to impactful publications, open-source software, and potential translational applications through patents or partnerships. You have PhD in Immunology, Structural Biology, Biochemistry, Computational Biology, or a related field. Demonstrated experience applying machine learning to biological problems, particularly involving proteins or immune recognition. Proficiency with protein language models (e.g., ESM2, EVO), structure prediction tools (e.g., AlphaFold2), and model interpretation techniques. Working knowledge of model development pipelines, including feature selection, regularization, and introspection. Familiarity with protein–protein interaction networks and the biophysical principles of molecular recognition. Strong coding and data skills, with an emphasis on reproducibility, clarity, and documentation. Excellent collaborative and communication skills, with experience in interdisciplinary teams. Nice to have - Experience collaborating closely with experimentalists to validate computational predictions. Prior work in immunoinformatics, AI-guided protein design, or immune repertoire analysis. Familiarity with structural biology databases (e.g., PDB, TCR3d) and immune-specific resources (e.g., IEDB, VDJdb). History of impactful publications or open-source contributions in computational biology or AI/ML. Background in data curation and management for large-scale genomic datasets. Compensation The Chicago, IL base pay range for this role is $111,000.00 - $157,000.00. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. What We Provide Resources to disrupt and innovate at the frontiers of our knowledge of biology and disease A collegial and collaborative environment consisting of diverse expertise Access to collaborators, resources and facilities at our three partner universities (Northwestern University, the University of Chicago, and the University of Illinois Urbana-Champaign) and at partner organizations in Chicagoland and beyond Competitive compensation and benefits commensurate with the experience If you’re interested in a role but your previous experience doesn’t 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. We offer a robust benefits program that enables the important work Biohubbers do everyday. Our benefits include healthcare coverage, life and disability insurance, commuter subsidies, family planning services with fertility care, childcare stipend, 401(k) match, flexible time off and a generous parental leave policy. In addition, we honor our commitment to career development and our value of scholarly excellence through regular onsite opportunities to learn from the world's leading scientists. The CZ Biohub Network is an equal opportunity employer committed to diversity of thought, ideas and perspectives. We are committed to cultivating an inclusive organization where all Biohubbers feel inspired and know their work makes an important contribution. Therefore, we provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. The CZ Biohub Network does not accept unsolicited headhunter and agency resumes. The CZ Biohub Network will not pay fees to any third-party agency or company that does not have a signed agreement with the CZ Biohub Network. Apply for this job

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