Department

BSD IPP - Machine Learning

Job Summary

022The Staff Scientist will conduct original research modeling immune-microbe interactions using computational and machine learning approaches. The role emphasizes exploratory work at the intersection of immunology and AI.

022The Staff Scientist will work in a collaborative environment with computational and experimental investigators in the IPPH and at the Laboratory for Computational Immunology, University of Chicago, and partner institutions.022

Responsibilities

• 022Develop and apply computational and machine learning methods to model host immune responses to microbial communities, integrating microbiome and protein-level analyses.A0

• 022Pursue independent lines of inquiry at the intersection of microbial proteins, immunology, and AI, generating new hypotheses and innovative research directions.A0

• 022Partner with wet-lab teams to connect computational predictions with microbiome and immunological data, facilitating cross-disciplinary insights and translational outcomes.A0

• 022Promote open science principles, share code and data, and engage with the scientific community via conferences, seminars, and collaborative initiatives.A0

• Serves as a resource for collecting data and performing analysis. Facilitates and promotes a research project by providing scientific or intellectual information.

• 022Creates first drafts for scientific writing and publications, including protocols and grants.

• Performs other related work as needed.

Minimum Qualifications

Education:

Minimum requirements include a PhD in related field.

Work Experience:

Minimum requirements include knowledge and skills developed through 5-7 years of work experience in a related job discipline.

Certifications:

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Preferred Qualifications

Education:

• 022Ph.D. in Computational Biology, Bioinformatics, Computer Science, or a closely related quantitative field.

Experience:

• 022At least one year of research experience in machine learning applied to microbiology, protein science or related biological problems.A0

• 022Prior experience in one or more of the following areas: Experience at the intersection of microbiology and machine learning. Familiarity with immune-specific datasets (e.g., IEDB, OAS, SAbDab) or structural databases (PDB, UniProt). Track record of publishing in top-tier AI, structural biology, or computational biology venues.A0

Preferred Competencies

• 022Demonstrated experience applying computational and machine learning methods to microbiome data and protein sequence or structural data.A0

• 022Proficiency with the Python scientific and ML ecosystem and experience on Linux HPC / SLURM clusters or cloud environments.A0

• 022Ability to conduct independent research, mentor junior lab members, and communicate results clearly in writing and in presentations.A0

• 022Familiarity with current trends in AI and biological data sciences.A0

• 022Commitment to ethical research practices, data integrity, and responsible AI principles.A0

• 022Outstanding organization, analytic, and communication (oral and written) skills.A0

• 022Ability to work independently, as part of a team, and collaboratively, depending on the job needs.A0

• 022Attention to detail and problem-solving skills.A0

Working Conditions

• 022The work will take place primarily within an office or dry lab.A0

• 022Weekend or evening hours may be required to complete project timelines.022A0

Application Documents

• Resume (required)A0

• Cover Letter (022preferred022)A0

The University of Chicago uses AI-assisted tools to streamline and augment some recruitment processes; however, AI is not used to make hiring decisions.

When applying, the document(s) MUSTbe uploaded via the My Experience page, in the section titled Application Documents of the application.

Job Family

Research

Role Impact

Individual Contributor

Scheduled Weekly Hours

40

Drug Test Required

No

Health Screen Required

No

Motor Vehicle Record Inquiry Required

No

Pay Rate Type

Salary

022
FLSA Status

Exempt

022
Pay Range

$80,000.00 - $100,000.00

The included pay rate or range represents the Universitys good faith estimate of the possible compensation offer for this role at the time of posting.

Benefits Eligible

Yes

The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in theBenefits Guidebook.