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Biomedical Data Science Jobs in Wisconsin (NOW HIRING)

Ntc

Technician, Biomedical Lab

Wausau, WI

$24.73/hr

... all Science labs under the umbrella of General Studies. This is a 40-hour per week school-year ... Ability to define problems, collect data, establish facts, and draw conclusions to critically ...

Avidity Science

Sales Coordinator

Waterford, WI · On-site

$55K - $70K/yr

Prepare reports, sales data, and pipeline updates * Serve as a point of contact for customer ... in the biomedical, life sciences and clinical research markets. We are proud to be a trusted ...

Avidity Science LLC

Sales Coordinator

Waterford, WI · Remote

$55K - $70K/yr

Prepare reports, sales data, and pipeline updates * Serve as a point of contact for customer ... in the biomedical, life sciences and clinical research markets. We are proud to be a trusted ...

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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Showing results 21-40

All JobsBiomedical Data Science JobsBiomedical Data Science Jobs in Wisconsin

Biomedical Data Science information

See Wisconsin salary details

$22.4K

$101.5K

$178.1K

How much do biomedical data science jobs pay per year?

As of Aug 15, 2026, the average yearly pay for biomedical data science in Wisconsin is $101,544.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,788.00 and $143,818.00 per year, depending on experience, location, and employer.

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.

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 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 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.

What are popular job titles related to Biomedical Data Science jobs in Wisconsin?

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

What job categories do people searching Biomedical Data Science jobs in Wisconsin look for?

The top searched job categories for Biomedical Data Science jobs in Wisconsin are:

What cities in Wisconsin are hiring for Biomedical Data Science jobs?

Cities in Wisconsin with the most Biomedical Data Science job openings:

Biomedical Data Science jobs near you
Infographic showing various Biomedical Data Science job openings in Wisconsin 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, with an average salary of $101,544 per year, or $48.8 per hour.

Image Quality Algorithm Developer

JS Consulting

Waukesha, WI • On-site

Contractor

Re-posted 6 days ago

Job description

Job Title- Image Quality Algorithm Developer

Project Location – Onsite in Waukesha, Wisconsin

Duration- 6-12+ months contract

Visa- USC/ GC/ GC-EAD/ H1B/ OPT-EAD

Must have Valid LinkedIn profile.

Candidates must also be local to the area.

Job Description-:

Qualifications:

  • Ph.D. (preferred) or Master’s in:
    • Biomedical Engineering, Electrical Engineering, Physics, Engineering Physics, Medical Physics, Applied Math, Data Science, or related field
  • 1–2 years of academic/industry experience with leadership/project exposure
  • Strong background in math, physics, image/signal processing
  • Experience with X-ray or CT physics
  • Proficiency in MATLAB, Python, and C++
  • Strong communication skills in English