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

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.

Labcorp

Postdoctoral Fellow - Immunology

Madison, WI · On-site

$80K - $90K/yr

... biomedical engineering, biology, immunology, biochemistry or related life science * 4 or more years ... For more information about how we collect and store your personal data, please see our Privacy ...

Labcorp

Postdoctoral Fellow - Immunology

Madison, WI

$80K - $90K/yr

... biomedical engineering, biology, immunology, biochemistry or related life science * 4 or more years ... Formore information about how we collect and store your personal data, please see ourPrivacy ...

Varsity Tutors

College Biology Tutor

Madison, WI · Remote

$18 - $40/hr

Guides students through interpreting experimental data, constructing phylogenetic trees, solving ... Emphasizes scientific reasoning and experimental design, connecting biology to biomedical research ...

Wisconsin

Research Specialist

Madison, WI · On-site

$45K/yr

... biomedical and behavioral research, several scientific research cores, and a clinical ... Collects data and monitors test results * Operates, cleans, and maintains organization of research ...

EnsoData

Implementation Engineer

Madison, WI · On-site

$80K - $85K/yr

Bachelor's degree including programming coursework (preferably Computer Science, Biomedical ... Proficiency in SQL, APIs, and healthcare data standards (HL7) * Problem solving: Ability to ...

EnsoData

Implementation Engineer

Madison, WI · On-site +1

$80K - $85K/yr

Bachelor's degree including programming coursework (preferably Computer Science, Biomedical ... Proficiency in SQL, APIs, and healthcare data standards (HL7) * Problem solving: Ability to ...

EnsoData

Implementation Engineer

Madison, WI · On-site

$80K - $85K/yr

Bachelor's degree including programming coursework (preferably Computer Science, Biomedical ... Proficiency in SQL, APIs, and healthcare data standards (HL7) * Problem solving: Ability to ...

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University of Wisconsin-Madison

Researcher

Madison, WI · On-site

$55K/yr

... biomedical and behavioral research, several scientific research cores, and a clinical ... Collects and analyzes basic research data, conducts experiments and interviews, and documents ...

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All JobsBiomedical Data Science JobsBiomedical Data Science Jobs in Madison, WI

Biomedical Data Science information

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 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 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 June 2026, with employment types broken down into 4% As Needed, 29% Full Time, 61% Part Time, 4% Contract, and 2% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Bioinformatician II (Tuesday - Saturday)

Bioinformatician II (Tuesday - Saturday)

Exact Sciences

Madison, WI • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago

Exact Sciences rating

8.5

Company rating: 8.5 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

19th of 103 rated laboratories

Job description

Help us change lives
At Exact Sciences, we're helping change how the world prevents, detects and guides treatment for cancer. We give patients and clinicians the clarity needed to make confident decisions when they matter most. Join our team to find a purpose-driven career, an inclusive culture, and robust benefits to support your life while you're working to help others.
Position Overview
The Bioinformatician II will work on multiple projects analyzing biomedical data by applying existing tools and informatics resources. This role will be responsible for maintaining/testing/optimizing/customizing existing bioinformatic pipelines for NGS data and data tracking/delivery to customers. In addition, implementing and testing novel analysis approaches, developing professional quality reusable software/informatics resources for medium to large scale bioinformatics projects, and leverage prior experience and domain knowledge to improve existing methods to expedite and facilitate the data analysis and knowledge discovery process. Previous experience in high volume NGS exome and RNA production workflows is a plus.
This position is onsite at our Madison location, with a Tuesday to Saturday work schedule.
Essential Duties
Include, but are not limited to, the following:
  • Implement, test, maintain, customize available/known informatics resources and scientific software/data sources in multiple programming languages/platforms for research support. Develop front ends for other analysis tools, visualize/compile results, facilitate generally defined routine data processing/migration/organization/management tasks, and build project specific workflows implementing automated analysis steps.
  • Investigate, customize, prototype for new bioinformatics resources and scientific software for biomedical data processing. Requires skills in multiple programming languages, databases, computational methods, scientific computing, large scale data analysis, and heterogeneous biomedical data from multiple sources. Use of software engineering skills towards creating reusable, modular, tested, version-controlled, shared repository oriented, professional quality informatics/software/database resources.
  • Design, prototype, evaluate innovative computational algorithms, data analysis, and statistical methods for biomedical data processing, interpretation and knowledge mining of data, computational algorithms, databases, scientific computing, large scale data analysis. Suggest/explore alternative/multiple data processing approaches.
  • Follow scientific literature/manuscripts, investigate new biomedical data processing methods, trends, technologies, and paradigms relevant to biomedical informatics, provide feedback towards scientific findings and contribute towards manuscripts/grants/research proposals and research planning. Attend/contribute to/present at internal/external scientific meetings/conferences.
  • Manage multiple bioinformatics collaborations/projects, mentor junior staff. Strategic planning, organization, management, utilization, optimization of existing and future bioinformatics resources, skills, and needs. Interact with PIs, researchers, and other bioinformaticians towards aligning/guiding the bioinformatics activities to maximize organization's competitive advantage in biomedical research. Interact with other research divisions, computing infrastructure staff, outside academic/industrial partners.
  • Excellent communication skills and strong desire to interact with researchers carrying out cutting-edge biomedical research.
  • Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
  • Support and comply with the company's Quality Management System policies and procedures.
  • Maintain regular and reliable attendance.
  • Ability to act with an inclusion mindset and model these behaviors for the organization.
  • Ability to work designated schedule.
  • Ability to work nights and/or weekends (, as needed).
  • Ability to work on a mobile device, tablet, or in front of a computer screen and/or perform typing for approximately 95% of a typical working day.
  • Ability to travel 5% of working time away from work location, may include overnight/weekend travel.

Minimum Qualifications
  • Bachelor's Degree/Master's Degree in Bioinformatics/Computer Science/Bioengineering/Computational Biology or related field.
  • 2 years of job related experience in academic/industrial applied research environment in biomedical data analysis.
  • Demonstrated ability to understand and implement computational algorithms, statistical analysis methods, custom data analysis software.
  • Demonstrated proficiency in software development in multiple programming languages, such as Python/Java, and derivatives.
  • Demonstrated proficiency in downloading/learning/applying software and database resources for custom analysis and building workflows.
  • Demonstrated proficiency with Linux/UNIX based systems and shell scripting.
  • Demonstrated ability in analyzing gene expression, genotyping, sequencing, CGH, or in specific field needed by the duties, and various biomedical databases.
  • Demonstrated proficiency with scientific computing and data visualization tools, such as MATLAB/R, and understanding of basic statistics.
  • Demonstrated proficiency in software engineering processes, such as version control, backup, documentation, testing, validation.
  • Demonstrated familiarity with large-scale data analysis and utilization of high-performance computing systems, parallel programming.
  • Demonstrated proficiency with NGS workflow processes and languages (e.g., Cromwell/WDL, Snakemake).
  • Demonstrated proficiency with cloud computing (e.g. DNAnexus).
  • Demonstrated ability to perform the essential duties of the position with or without accommodation.
  • Authorization to work in the United States without sponsorship.

Preferred Qualifications
  • Master's Degree in Bioinformatics/Computer Science/Bioengineering/Computational Biology or related field.
  • 2+ years in large scale NGS operations industry environments.
  • Proficiency in Linux based systems, Python and AWS.
#LI-AN1
Salary Range:
$84,000.00 - $138,000.00
The annual base salary shown is for this position located in US - WI - Madison on a full-time basis. In addition, this position is bonus eligible.
Exact Sciences is proud to offer an employee experience that includes paid time off (including days for vacation, holidays, volunteering, and personal time), paid leave for parents and caregivers, a retirement savings plan, wellness support, and health benefits including medical, prescription drug, dental, and vision coverage. Learn more about our benefits.
Our success relies on the experiences and perspectives of a diverse team, and Exact Sciences fosters a culture where all employees can develop personally and professionally with a sense of respect and belonging. If you require an accommodation, please contact us here.
Not ready to apply? Join our Talent Community to stay updated on the latest news and opportunities at Exact Sciences.
We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, and any other status protected by applicable local, state, or federal law.
To view the Right to Work, E-Verify Employer, and Pay Transparency notices and Federal, Federal Contractor, and State employment law posters, visit our compliance hub. The documents summarize important details of the law and provide key points that you have a right to know.

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