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Postdoc In Topological Data Jobs in Chicago, IL (NOW HIRING)

... postdoc in a quantitative or computational field * Hands-on experience applying AI/ML to complex, real-world or scientific datasets * Experience working on problems where data is noisy, incomplete ...

Postdoctoral Research Scientist FLSA Status: Exempt Department: Negaunee Integrative Research Our ... Experience with genomic data analysis, phylogenetics, and working in Linux-based environments is ...

Postdoctoral Research Scientist FLSA Status: Exempt Department: Negaunee Integrative Research Our ... Experience with genomic data analysis, phylogenetics, and working in Linux-based environments is ...

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Postdoc In Topological Data information

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How much do postdoc in topological data jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for postdoc in topological data in Chicago, IL is $34.07, according to ZipRecruiter salary data. Most workers in this role earn between $25.24 and $40.38 per hour, depending on experience, location, and employer.

What is a Postdoc in Topological Data?

A Postdoc in Topological Data is a researcher who has completed their PhD and is engaged in advanced research focused on the application of topology—an area of mathematics dealing with spatial properties—to analyze and interpret complex data sets. These positions typically involve both theoretical work and the development of computational tools to extract meaningful patterns from high-dimensional or complex data. Postdocs in this field often collaborate with interdisciplinary teams in mathematics, computer science, and applied domains such as biology or engineering. The role is intended to deepen expertise, publish research, and prepare for academic or research-intensive careers.

What are some typical collaborative opportunities for a Postdoc in Topological Data within academic or research settings?

As a Postdoc in Topological Data, you can expect to collaborate closely with interdisciplinary teams, including mathematicians, computer scientists, and domain experts from fields like biology or materials science. Collaborative projects often involve developing or applying topological methods to analyze complex datasets, contributing both theoretical insights and computational tools. These interactions may include co-authoring research papers, participating in joint seminars, and working with graduate students. Such collaborations not only broaden your research impact but also help expand your professional network and skill set.

What are the key skills and qualifications needed to thrive as a Postdoc in Topological Data, and why are they important?

To thrive as a Postdoc in Topological Data, you need a strong background in mathematics (particularly topology, algebra, and geometry), data analysis, and a PhD in a related field. Familiarity with computational tools like Python, R, MATLAB, and software libraries for topological data analysis (such as GUDHI or Ripser) is typically required. Exceptional problem-solving ability, collaboration, and strong scientific communication skills help distinguish top candidates in interdisciplinary research environments. These skills are crucial for advancing research, publishing high-quality work, and contributing effectively to collaborative scientific projects.
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Postdoctoral Research Associate in AI for Computational Biology and/or Bioinformatics - Qiu Lab

Postdoctoral Research Associate in AI for Computational Biology and/or Bioinformatics - Qiu Lab

University of Illinois Chicago

Chicago, IL • On-site

Full-time

Re-posted 5 days ago


Job description

Job Summary:
The University of Illinois Chicago (UIC) is a prominent urban public research university seeking a Postdoctoral Research Associate in AI for Computational Biology and Bioinformatics in the Qiu Lab. The successful candidate will conduct computational research at the intersection of AI, bioinformatics, and systems biology, engaging in interdisciplinary collaborations and developing novel computational methods for genomics and protein design.
Responsibilities:
• Develop and design novel computational and AI methods for single-cell genomics data analysis, protein design, etc.
• Engage in interdisciplinary collaborations for bioinformatics data analysis and contributing to systems biology research.
• Perform other special projects as assigned.
Qualifications:
Required:
• PhD degree in computational biology, bioinformatics, mathematics, physics, engineering, computer science, or a related field.
• Computational background in areas such as AI/deep learning, multiscale modeling, optimization, topological/geometric data analysis, among others.
• Strong programming skills and experience (e.g., Python, R).
Preferred:
• Interdisciplinary research experience with experimentalists.
Company:
UIC is Chicago's largest university with more than 33,000 students, 12,000 employees, 16 colleges and a major public medical center. Founded in 1965, the company is headquartered in Chicago, il, US, , with a team of 10001+ employees. The company is currently Late Stage.