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Data Science Postdoc Jobs in Chicago, IL (NOW HIRING)

The Grainger Bioinformatics Center in the Science and Education Department at The Field Museum is ... Responsibilities include SNP data processing, population structure analyses, phylogenetic inference ...

The Grainger Bioinformatics Center in the Science and Education Department at The Field Museum is ... Responsibilities include SNP data processing, population structure analyses, phylogenetic inference ...

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Data Science Postdoc information

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$17

$58

$83

How much do data science postdoc jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for data science postdoc in Chicago, IL is $58.53, according to ZipRecruiter salary data. Most workers in this role earn between $48.03 and $69.33 per hour, depending on experience, location, and employer.

What are typical daily or weekly responsibilities for a Data Science Postdoc?

Data Science Postdocs often spend their days designing and conducting advanced data analyses, developing and testing predictive models, and communicating results through reports or academic publications. They frequently collaborate with faculty, graduate students, and industry partners on interdisciplinary projects, contributing their quantitative expertise. Additionally, Data Science Postdocs may mentor junior researchers, participate in lab meetings, present findings in seminars, and contribute to grant proposals. This dynamic environment provides opportunities to deepen research skills, publish impactful work, and prepare for future career advancement in academia or industry.

What are the key skills and qualifications needed to thrive in the Data Science Postdoc position, and why are they important?

To thrive as a Data Science Postdoc, you need advanced analytical skills, expertise in statistical modeling, a doctoral degree in a quantitative field, and proven experience with data-driven research. Proficiency in programming languages like Python or R, along with experience using machine learning libraries, data visualization tools, and version control systems, is typically required. Excellent problem-solving abilities, collaborative teamwork, and effective communication skills help set outstanding candidates apart. These attributes are crucial for advancing knowledge, publishing impactful research, and working effectively within interdisciplinary research teams.

What is a Data Science Postdoc job?

A Data Science Postdoc is a temporary research position, typically at a university or research institution, for individuals who have recently completed a PhD. The role focuses on applying advanced data science techniques, such as machine learning, statistical modeling, and big data analysis, to solve complex research problems. Postdocs often work on interdisciplinary projects, collaborate with faculty, publish academic papers, and may also contribute to teaching. The goal is to build expertise, advance knowledge in a specific domain, and prepare for roles in academia, industry, or government.

What are the most commonly searched types of Data Science Postdoc jobs in Chicago, IL? The most popular types of Data Science Postdoc jobs in Chicago, IL are:
What are popular job titles related to Data Science Postdoc jobs in Chicago, IL? For Data Science Postdoc jobs in Chicago, IL, the most frequently searched job titles are:
Infographic showing various Data Science Postdoc job openings in Chicago, IL as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,733 per year, or $58.5 per hour.
Associate Professor of Data Science

Associate Professor of Data Science

The University of Chicago

Chicago, IL • On-site

$60K - $61K/yr

Full-time

Medical, Retirement, PTO

Re-posted 20 days ago


University Of Chicago rating

8.1

Company rating: 8.1 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

134th of 553 rated colleges and universities


Job description

Description
The University of Chicago invites applications for tenured faculty positions at the rank of Associate Professor in the area of Data Science. Appointments may be made in either the Department of Computer Science or the Department of Statistics, jointly between Statistics and Computer Science, or jointly with another department in the University.
The University of Chicago is implementing an ambitious plan for research and education in Data Science and AI, including new academic programs at the undergraduate and graduate levels and new cross-disciplinary research programs. The Data Science Institute (datascience.uchicago.edu) is a collaboration among the Department of Computer Science (cs.uchicago.edu), the Department of Statistics (stat.uchicago.edu), and other units on campus. Topics of interest include foundations and applications of artificial intelligence, machine learning, large language models, scientific AI and machine learning, data ethics and privacy, data visualization, societal impact of data and AI, safe and trustworthy AI, data engineering, scalable data systems, and high-dimensional statistical inference. We encourage applications from all researchers focused on developing the foundations and practice of Data Science as an emerging field. The Data Science Institute focuses on research that advances fundamental theories at the intersection of data science, artificial intelligence, statistics, and computing in the context of real-world and domain-specific problems. The Committee on Data Science(codas.uchicago.edu) is the home of data science education programs. The larger data science community at the University of Chicago includes the Committee on Computational and Applied Mathematics (cam.uchicago.edu), the Toyota Technological Institute at Chicago (TTIC), the Polsky Center for Entrepreneurship and Innovation, Fermilab, and Argonne National Laboratory.
Members of the faculty are expected to lead research programs that will produce significant contributions to a field, and teach and mentor at the undergraduate and graduate levels.
This position is benefits-eligible. 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 the Benefits Guidebook.
Qualifications
Required: A PhD in Data Science, AI, Statistics, Computer Science, Applied Mathematics, or related field. Candidates must have evidence of leadership in their field, successful independent research, and a demonstrated track record of mentoring PhD students and/or postdoctoral researchers.
Application Instructions
Applications must be submitted online through the University of Chicago's Academic Jobs website: https://apply.interfolio.com/174768.
Review of applications will begin on October 26, 2025, and will continue until all positions are filled.
The following materials are required:
• cover letter;
• curriculum vitae, including a list of publications;
• statement describing past and current research accomplishments and outlining future research plans; and
• description of teaching and mentoring philosophy and experience.
The following materials may be requested:
• up to three publications and
• names of three or more people who can provide confidential letters of recommendation.

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