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Biomedical Data Science Jobs in Madison, WI (NOW HIRING)

Elephas

Senior Data Scientist

Madison, WI · On-site

$120 - $170/hr

Master's (+5 years experience) or PhD (+2 years experience) in Data Science, Biostatistics, Bioinformatics, Biomedical Engineering or related field * Strong background in quantitative analysis and ...

Elephas

Senior Data Scientist

Madison, WI · On-site

Master's (+5 years experience) or PhD (+2 years experience) in Data Science, Biostatistics, Bioinformatics, Biomedical Engineering or related field * Strong background in quantitative analysis and ...

Elephas

Senior Data Scientist

Madison, WI · On-site

Master's (+5 years experience) or PhD (+2 years experience) in Data Science, Biostatistics, Bioinformatics, Biomedical Engineering or related field * Strong background in quantitative analysis and ...

Wolters Kluwer

Forward Deployed Engineer

Madison, WI · Remote

Bachelor's degree in computer science, Software Engineering, Biomedical Informatics, Data Science, Health Informatics, Engineering, or equivalent practical experience. Advanced degree preferred but ...

New

Socket.dev

Sr Biochemistry Scientist

Madison, WI · On-site

$91 - $137/hr

We want your talent, genuine curiosity about applied science,enthusiasm for creative problem ... Perform data processing, statistical evaluation, and interpretation of experimental results.

Illumina, Inc.

Sr Biochemistry Scientist

Madison, WI · On-site

$92K - $126K/yr

We want your talent, genuine curiosity about applied science, enthusiasm for creative problem ... Perform data processing, statistical evaluation, and interpretation of experimental results.

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Biomedical Data Science information

What are the key skills and qualifications needed to thrive as a biomedical data scientist?

To thrive as a Biomedical Data Scientist, you need a strong background in statistics, machine learning, programming (typically Python or R), and a solid understanding of biological or clinical data. Familiarity with bioinformatics tools, data visualization platforms, high-throughput sequencing technologies, and relevant certifications (such as in data science or bioinformatics) is commonly required. Strong problem-solving abilities, communication skills, and interdisciplinary collaboration help set top professionals apart in this field. These competencies are crucial for extracting meaningful insights from complex biomedical data, driving research innovation, and supporting evidence-based healthcare decisions.

How does a biomedical data scientist typically collaborate with clinicians and researchers on interdisciplinary projects?

Biomedical Data Scientists often work closely with clinicians, biologists, and other researchers to translate complex biomedical questions into data-driven solutions. This collaboration usually involves regular meetings to understand clinical needs, define project goals, and discuss data interpretation. Effective communication is key, as team members may have different expertise and perspectives. By collaborating, Biomedical Data Scientists help ensure that analytical methods and results are both rigorous and clinically relevant, ultimately contributing to impactful healthcare outcomes.

What is the difference between Biomedical Data Science vs Bioinformatics?

AspectBiomedical Data ScienceBioinformatics
Required CredentialsDegree in Data Science, Biostatistics, or related fields; programming skillsDegree in Bioinformatics, Computational Biology, or related fields; programming skills
Work EnvironmentResearch labs, healthcare institutions, biotech companiesResearch labs, academic institutions, biotech firms
Industry UsageAnalyzing large biomedical datasets, developing predictive modelsAnalyzing biological data, genome sequencing, gene annotation
Search & Comparison IntentHigh overlap in data analysis, healthcare applicationsFocus on biological data interpretation

Biomedical Data Science and Bioinformatics share many skills and work environments, but they differ in focus. Biomedical Data Science emphasizes analyzing large datasets and developing predictive models in healthcare, while Bioinformatics concentrates on biological data analysis, such as genome sequencing. Both roles require programming skills and are vital in biomedical research, but their specific applications and industry terminology vary.

Can you become a biomedical data scientist with a biomedical science degree?

A biomedical data scientist typically has a background in biomedical science combined with skills in data analysis, programming, and statistics. While a biomedical science degree provides a strong foundation, additional training in programming languages like Python or R and experience with data management are often necessary to qualify for such roles.

What does a biomedical data scientist do?

A biomedical data scientist analyzes complex biological and medical data to identify patterns and insights that can improve healthcare and research. They use statistical methods, machine learning, and data visualization tools to interpret data from sources like electronic health records, genomic sequences, and clinical trials, often working in interdisciplinary teams and requiring programming skills in languages such as Python or R.

What are popular job titles related to Biomedical Data Science jobs in Madison, WI?

For Biomedical Data Science jobs in Madison, WI, the most frequently searched job titles are:

What job categories do people searching Biomedical Data Science jobs in Madison, WI look for?

The top searched job categories for Biomedical Data Science jobs in Madison, WI are:

What cities near Madison, WI are hiring for Biomedical Data Science jobs?

Cities near Madison, WI with the most Biomedical Data Science job openings:

Biomedical Data Science jobs near you
Infographic showing various Biomedical Data Science 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 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Postdoctoral Research Fellow

Statistics Interest Group

Madison, WI • On-site

$60 - $75/hr

Other

Posted 2 days ago

New

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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