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Biomedical Data Science Jobs in Wisconsin (NOW HIRING)

CY Partners

Senior R&D Scientist

Madison, WI

$99K - $126K/yr

Strong data analysis, interpretation and scientific reporting skills. * Experience working within ... PhD in Immunology, Biochemistry, Biomedical Sciences, Biotechnology or a related scientific ...

NewYork-Presbyterian

Senior Analytics Developer

Cornell, WI · On-site

$87K - $130K/yr

Bachelor's degree in a quantitative field (e.g., Biomedical Informatics, Epidemiology, Computer Science, Data Science, Public Health, Economics, Biostatistics, Health Policy, Statistics, Biometrics ...

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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

Production Planner II

Waterford, WI · On-site

Collect, monitor and communicate KPI data and related analysis needed to implement opportunities to ... 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 ...

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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 Jun 12, 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 careers fall under biomedical science?

Careers under biomedical science include roles such as biomedical researcher, clinical scientist, laboratory technician, bioinformatics analyst, and medical scientist. These positions often require knowledge of biology, chemistry, data analysis, and proficiency with laboratory or computational tools.

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 programming tools like Python or R to interpret data from sources such as genomics, clinical trials, and electronic health records. Their work supports diagnostics, treatment development, and personalized medicine efforts.

How much do biomedical data scientists make in the US?

Biomedical data scientists in the US typically earn a median salary of around $90,000 to $110,000 per year, depending on experience, education, and location. Advanced skills in programming, statistical analysis, and knowledge of biomedical data are often required and can lead to higher compensation.

Is biomedical data science a good career?

Biomedical data science is a growing field that combines data analysis, machine learning, and biology to improve healthcare and medical research. It offers high demand for skilled professionals with expertise in programming, statistics, and domain knowledge, often requiring advanced degrees. The career provides opportunities in research institutions, healthcare companies, and biotech firms with competitive salaries and ongoing innovation.

What are the key skills and qualifications needed to thrive as a Biomedical Data Scientist, and why are they important?

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 June 2026, with employment types broken down into 10% As Needed, 39% Full Time, 8% Part Time, 7% Temporary, 33% Contract, and 3% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $101,544 per year, or $48.8 per hour.
Civic Science Fellow - Science Communication

Civic Science Fellow - Science Communication

The Morgridge Institute for Research

Madison, WI

$38K - $52K/yr

Other

Posted 22 days ago

Job description

Description

The Rita Allen Civic Science Fellow working with the Science Incubator Lab is a full time 18-month fellowship position focusing on evidence-based approaches to communicating about science in polarized political or information environments.   We are particularly excited for our Civic Science Fellow to explore ways of depolarizing policy-relevant debates about biomedical science.


Envisioned as a Civic Science Lab, Fellows and partners carry out pioneering work to co-create pilots, partnerships, knowledge, models, and new ways of working that can help seed collaborations between science and society. All Fellows will engage as a cohort in a learning program and community, developed in collaboration with the network and an interdisciplinary committee of advisors. (https://civicsciencefellows.org/). 


One Fellow will be embedded in the Science Communication Incubator Lab (SCI Lab), while the other will be embedded in the Community Engagement group. The SCI Lab and Community Engagement teams collaborate to create research-informed science engagement programs that connect the scientific enterprise with the public.  The selected individuals must be able to begin employment no later than September 1, 2026.


Primary Responsibilities:

  • Conducts literature reviews, prepares reports and materials, (co-)authors publications, and disseminates information to appropriate entities
  • Collects and analyzes complex research data according to established policies and procedures
  • Coordinates collaborations with external partners and stakeholders and with related projects and collaborators at the University of Wisconsin - Madison
  • Works in close collaboration with Morgridge Institute investigators and practitioners  to increase community engagement and inform the programs and communications at Morgridge and the University of Wisconsin - Madison more broadly.

Requirements

To perform this job successfully, an individual must be able to perform each primary duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.  Reasonable accommodation may be made to enable individuals with disabilities to perform the primary duties.


Education and Experience:

  • A PhD in a social sciences discipline, such as (the science of) science communication, formal or informal science education, psychology, sociology, political science, computational social science, or another position-relevant discipline
  • Experience in scholarly or on-the-ground engagement with communities that might see themselves as disconnected from science, based on real or perceived divides across value-based, ideological, or demographic differences 
  • Experience in research program or project management


Knowledge, Skills and Abilities Required:

  • Demonstrated ability to design, conduct, and publish high-quality social scientific research 
  • Excellent written and verbal communication skills, particularly the ability to communicate scientific information effectively with expert and lay audiences
  • Interest in connecting science communication research and practice
  • Ability to work independently and in a team environment, and develop positive relationships with co-workers
  • Familiarity with social media platforms for research and communication 


Working Conditions and Physical Effort:

  • No or very limited physical effort is required
  • No or very limited exposure to physical risk

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