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Postdoc In Topological Data Jobs in Madison, WI (NOW HIRING)

Wisconsin

Post-Doctoral Fellow

Madison, WI · On-site

$70K/yr

Postdoctoral Fellow Job Summary: The Information Quality Lab in the University of Wisconsin-Madison ... data-intensive research about science. * Training and/or publications in formal literature ...

Wisconsin

Scientist I

Madison, WI · On-site

$64K/yr

SMPH Faculty /Academic Staff Benefits Flyer 2026 Required Qualifications: * 4 years postdoctoral ... Proven success in dissemination of scientific data, such as first-author publications in respected ...

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Wisconsin

Scientist I

Madison, WI

$55K/yr

If you are currently employed at any of the Universities of Wisconsin, log in to Workday to apply ... Collects and analyzes research data, conducts experiments and interviews, and documents results ...

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Postdoc In Topological Data information

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$14

$33

$56

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

As of Sep 13, 2026, the average hourly pay for postdoc in topological data in Madison, WI is $33.33, according to ZipRecruiter salary data. Most workers in this role earn between $24.71 and $39.47 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 the key skills and qualifications needed to thrive as a postdoc in topological data?

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.

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.

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Postdoc In Topological Data jobs near you
Infographic showing various Postdoc In Topological Data job openings in Madison, WI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $69,320 per year, or $33.3 per hour.

Postdoctoral Research Fellow

Madison, WI • On-site

Statistics Interest Group
See more jobs at Statistics Interest Groupexternal

$60K - $75K/yr

Other

Posted 11 days ago

Job description

This is a current listing of job announcements related to Statistics.To submit a job for posting please use the Statistics Job Submission Form . Please note that jobs are posted within 24hrs of submission. If you have any questions, comments, or need to make acorrectionregarding your job announcement, please contact jobs@stat.ufl.edu .

University of Wisconsin-Madison – Postdoctoral Research Fellow Company Name University of Wisconsin-Madison Position Title Postdoctoral Research Fellow Company Information

The Tang Lab at the University of Wisconsin–Madison invites applications for a Postdoctoral Research Fellow position in biostatistics, statistics, biomedical data science, and computational omics. The fellow will work with Dr. Zhengzheng Tang and collaborators on methodological and applied research involving multi-omics data, including microbiome/metagenomics, genetics, genomics, and related biomedical data.
The Tang Lab website is available at: https://tangzheng1.github.io/tanglab/

The University of Wisconsin–Madison is a leading public research university with a strong tradition in statistics, biostatistics, biomedical research, and interdisciplinary collaboration. The campus provides a vibrant research environment, excellent computational resources, and extensive opportunities for collaboration with biomedical scientists, clinicians, and public health researchers.

Duties and Responsibilities

The postdoctoral fellow will have opportunities to lead and contribute to projects in statistical methodology, machine learning, and biomedical data analysis. Potential research directions include, but are not limited to, microbiome and metagenomic data analysis, multi-omics integration, genetic and genomic studies, causal inference, interpretable machine learning, and methods for complex biomedical data.Responsibilities may include:

  • Conducting independent and collaborative research projects
  • Developing statistical and machine-learning methods for biomedical and omics data
  • Implementing computational tools and reproducible software
  • Designing and conducting simulation studies
  • Analyzing real-world biomedical, clinical, and omics datasets
  • Interpreting results and preparing manuscripts for peer-reviewed journals
  • Collaborating with biologists, clinicians, and healthcare researchers

The position offers strong training in statistical methodology development, software implementation, collaborative biomedical research, and manuscript preparation. The fellow will have opportunities to lead first-author methodological papers and contribute to collaborative publications in high-quality peer-reviewed journals.

Position Qualifications

Applicants should have, or expect to receive, a PhD in biostatistics, statistics, bioinformatics, computational biology, computer science, data science, or a related quantitative field.

Preferred qualifications include:

  • Strong training in statistical methods, machine learning, or quantitative biomedical research
  • Proficiency in R, Python, or another programming language
  • Experience with simulation studies, real data analysis, or software implementation
  • Strong written and oral communication skills
  • Ability to work independently and collaboratively
  • Interest in solving real-world biomedical and public health problems

Experience with microbiome, metagenomic, genomic, genetic, or other omics data is preferred but not required. Candidates with strong quantitative training and an interest in biomedical applications are encouraged to apply.

Salary Range $60,000–$75,000 per year

The position is available immediately and will remain open until filled. The initial appointment is for one year, with the possibility of renewal for a second and/or third year depending on satisfactory performance and funding availability.

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