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Postdoc In Topological Data Jobs in Wisconsin (NOW HIRING)

Baylor College of Medicine

WI · On-site

$63K/yr

The Postdoctoral Associate should have experience in processing and analyzing data from the next‑generation sequencing and single‑cell technologies (e.g., scRNA‑seq, scATAC‑seq, scTR‑seq ...

Baylor College of Medicine

WI · On-site

$63K - $69K/yr

Postdoctoral Associate - Translational Research Division: Medicine Work Arrangement: Onsite only ... with data analyses/presentation, and write up of manuscripts, assist in supervising staff and ...

Baylor College of Medicine

WI · On-site

$63K/yr

The position offers an opportunity to gain advanced training in genome engineering, conditional ... Analyzes experimental data, maintains accurate research records, and prepares figures, reports ...

Baylor College of Medicine

WI · On-site

$62K - $68K/yr

Job Title: Postdoctoral Associate - CNRC Division: Pediatrics Work Arrangement: Onsite only ... experiments in the field of Nutrition Science. * Collects and analyzes data that includes ...

New Jersey Institute of Technology

$63K/yr

Data Processing and Reporting: Perform rigorous data analysis, synthesize results, prepare ... D. in a relevant field, such as Mechanical Engineering, Chemical Engineering, Physics, or Chemistry.

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 ...

NEOGOV

Utilities GIS/Asset Specialist

La Crosse, WI · On-site

... asset data in GIS and CMMS environments. Responsibilities : • Knowledge of Esri's ArcGIS ... topological and attribution standards as well as data integrity with integration with CMMS program ...

Versiti, Inc.

Postdoctoral Fellow - Sundd Lab

Wauwatosa, WI · On-site

$48K - $65K/yr

Overview Located in Milwaukee, Wisconsin, the Versiti Blood Research Institute (VBRI) is the ... Serves as a resource for techniques, information, instrumentation, interpretation of data, etc. for ...

wistar

Post-Doctoral Fellow - Sarma Lab

Institute, WI · On-site

$47K - $63K/yr

A Postdoctoral Fellow position is available in the laboratory of Dr. Kavitha Sarma. The Sarma lab ... Experience in performing and analyzing data from genomic experiments such as RNA-seq, ChIP-seq, CUT ...

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Postdoc In Topological Data information

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.

What are popular job titles related to Postdoc In Topological Data jobs in Wisconsin?

For Postdoc In Topological Data jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Postdoc In Topological Data jobs in Wisconsin look for?

The top searched job categories for Postdoc In Topological Data jobs in Wisconsin are:

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Postdoc In Topological Data jobs near you
Infographic showing various Postdoc In Topological Data job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Postdoctoral Associate - Computational biology and Bioinformatics

WI • On-site

Baylor College of Medicine
Colleges, Universities, and Professional Schools • 5 - 10K employees
Learn more about Baylor College of Medicineexternal

$63K/yr

Other

Posted 11 days ago

Baylor College of Medicine rating

8.0

Company rating: 8.0 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

Job description

Postdoctoral Associate - Computational biology and Bioinformatics

Division: Medicine | Work Arrangement: Onsite only | Location: Houston, TX | Salary Range: $63,480 | FLSA Status: Exempt | Work Schedule: Monday – Friday, 8 a.m. – 5 p.m.

Summary

The Cheng Lab in the Department of Medicine, Section of Epidemiology & Population Sciences is searching for highly motivated and talented post‑doc candidates to work on Bioinformatics and Computational Biology in Cancer Genomics and Immunology. This position will be involved in the development and/or application of computational approaches to understand the mechanism of cancer development, progression, metastasis, and prognosis. The Postdoctoral Associate should have experience in processing and analyzing data from the next‑generation sequencing and single‑cell technologies (e.g., scRNA‑seq, scATAC‑seq, scTR‑seq, and/or spatial transcriptomics). Previous experience in both Bioinformatics/Genomics and Cancer Biology is desirable. The Postdoctoral Associate is expected to collaborate closely with experimental biologists and clinicians. The position offers an extraordinary team‑based science environment with opportunities for significant education, training, and career development. Baylor College of Medicine is located at the Texas Medical Center, which is the largest medical complex in the world and provides an ideal environment for scientific and clinical research.

Job Duties
  • Develops and/or applies computational approaches to understand the mechanism of cancer development, progression, metastasis, and prognosis.
  • Collaborates closely with experimental biologists and clinicians to design studies, validate computational findings, and support translational applications of research discoveries.
  • Participates in regular joint meetings to present findings, discuss ongoing projects, and align research strategies with lab and departmental priorities.
  • Assists in mentoring and training of junior researchers in computational techniques and bioinformatics best practices.
  • Translates complex computational results into biologically meaningful insights in collaboration with wet‑lab teams.
  • Maintains thorough documentation of analyses, pipelines, and datasets in version‑controlled environments.
  • Collaborates with experimental biologists and clinicians in the Cheng lab to apply computational and bioinformatics approaches to study cancer development, progression, metastasis, and prognosis.
  • Designs, analyses, interprets complex datasets, and translates findings into biologically meaningful insights within a multidisciplinary research environment.
  • Performs other job‑related duties as assigned.
Minimum Qualifications
  • MD or Ph.D. in Basic Science, Health Science, or a related field.
  • No experience required.
Preferred Qualifications
  • PhD in Computational Biology, Bioinformatics, or a related field (e.g. statistics, computer science, or quantitative biology).
  • Experience in the application and development of computational methods/tools or machine learning algorithms.
  • Good computer programming skills in R/Matlab/PerlPython.
  • Knowledge of basic molecular biology, genomics, and epigenetics.
  • Experience in next‑generation sequencing data and scRNA‑seq data.

Baylor College of Medicine fosters diversity among its students, trainees, faculty, and staff as a prerequisite to accomplishing our institutional mission and setting standards for excellence in training healthcare providers and biomedical scientists, promoting scientific innovation, and providing patient‑centered care. Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.

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