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Applied Science Jobs in Madison, WI (NOW HIRING)

UW Health

Biomedical Engineering Specialist

Madison, WI · On-site

$79K - $119K/yr

Associate's Degree of Applied Science in HTM / Biomedical Engineering or Completion of DOD Biomedical Technician training. Four (4) years of previous Biomedical Engineering Technician experience in ...

UW Health

Biomedical Engineering Specialist

Madison, WI · On-site

Associate's Degree of Applied Science in HTM / Biomedical Engineering or Completion of DOD Biomedical Technician training. Four (4) years of previous Biomedical Engineering Technician experience in ...

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-solving, and drive to get things done. Job duties include, but are not limited to: * Responsible for the ...

Varsity Tutors

Applied Mathematics Tutor

Madison, WI · Remote

$18 - $40/hr

... science applications. * Conceptual Teaching & Problem-Solving: Skilled at breaking down ... Familiar with applied mathematics curricula and common challenges such as translating physical ...

Paradigm

Senior Applied ML Engineer

Middleton, WI · Remote

$125K - $183K/yr

Bachelor's or Master's degree in Computer Science, Machine Learning, or related field. * 5+ years of experience designing and deploying applied ML systems at scale. * Experience with computer vision ...

ScionHealth

Medical Lab Tech

Watertown, WI · On-site

Associate's degree in Medical Laboratory Technology, Applied Science, Biology, or related field required. Licenses/Certifications * ASCP or AMT certification as a Medical Laboratory Technician (MLT ...

Trans Ova Genetics

Semen Sexing Lab Technician

Madison, WI

$19.25 - $25.50/hr

On-going research and applied science allow Trans Ova Genetics to develop and implement new technologies to help move the science of bovine genetic improvement forward. Trans Ova is dedicated to ...

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AgSource

Semen Sexing Lab Technician

Madison, WI

$19.25 - $25.50/hr

On-going research and applied science allow Trans Ova Genetics to develop and implement new technologies to help move the science of bovine genetic improvement forward. Trans Ova is dedicated to ...

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Showing results 1-20

All JobsApplied Science JobsApplied Science Jobs in Madison, WI

Applied Science information

See Madison, WI salary details

$24.7K

$48.8K

$79.6K

How much do applied science jobs pay per year?

As of Aug 2, 2026, the average yearly pay for applied science in Madison, WI is $48,767.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,800.00 and $52,400.00 per year, depending on experience, location, and employer.

What is the career of applied science?

A career in applied science involves using scientific principles and research to develop practical solutions, products, or technologies across fields such as engineering, healthcare, or environmental science. Professionals in this field often work in laboratories, research facilities, or industry settings, utilizing skills in data analysis, experimentation, and technical tools. Advanced education and certifications may be required depending on the specialization.

What are some common challenges faced by professionals in Applied Science roles?

Professionals in Applied Science often encounter the challenge of translating complex data or scientific concepts into actionable business solutions that non-experts can understand and implement. Balancing rigorous scientific methodology with the practical constraints of project deadlines and stakeholder expectations is also common. Working cross-functionally with teams in engineering, product management, or business operations requires ongoing collaboration and clear communication. Successfully navigating these challenges helps ensure the impact and relevance of applied scientific work within an organization.

What is the job of an applied scientist?

An applied scientist conducts research to develop practical solutions by applying scientific principles and methods to real-world problems. They often work with data analysis, modeling, and experimentation, using tools like programming languages and laboratory equipment to innovate and improve products or processes.

What jobs can you do with applied science?

Applied science careers include roles such as research scientist, data analyst, quality control specialist, and product development engineer. These jobs often require strong problem-solving skills, knowledge of scientific methods, and proficiency with tools like laboratory equipment or data analysis software.

What are the key skills and qualifications needed to thrive in the Applied Science position, and why are they important?

To excel in Applied Science, a strong background in mathematics, statistics, computer science, and domain-specific scientific knowledge is essential, typically supported by a relevant advanced degree. Familiarity with data analysis tools (such as Python, R, MATLAB), machine learning frameworks, and experience with statistical modeling or experimental design are highly valued. Critical thinking, problem-solving abilities, and effective communication skills are important soft skills for translating scientific insights into practical solutions. These skills and qualities are crucial for driving innovation, collaboration, and the successful application of scientific methods to solve complex, real-world problems.

What can I do with applied science in university?

A degree in applied science prepares students for careers in research, development, and technical roles across industries such as healthcare, manufacturing, and technology. Graduates often work as engineers, lab technicians, or product developers, utilizing skills in problem-solving, data analysis, and technical tools. Certifications and hands-on experience can enhance job prospects in this field.

What is an Applied Science job?

An Applied Science job involves using scientific principles and methodologies to solve real-world problems in various industries, such as technology, healthcare, and engineering. Professionals in this field apply research, data analysis, and experimentation to develop practical solutions and improve processes. These roles often require collaboration with engineers, product teams, and business stakeholders to implement innovations effectively.

What are popular job titles related to Applied Science jobs in Madison, WI? For Applied Science jobs in Madison, WI, the most frequently searched job titles are:
What job categories do people searching Applied Science jobs in Madison, WI look for? The top searched job categories for Applied Science jobs in Madison, WI are:
What cities near Madison, WI are hiring for Applied Science jobs? Cities near Madison, WI with the most Applied Science job openings:
Applied Science jobs near you
Infographic showing various Applied Science job openings in Madison, WI as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $48,767 per year, or $23.4 per hour.

Applied AI Director (Primarily Office)

American Family Mutual Insurance Company

Madison, WI • On-site

$172K - $294K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago

Job description

This position provides strategic leadership for applied AI, machine learning, and advanced analytics solutions that drive business performance and operational effectiveness. You will partner with business and technology leaders to define enterprise AI strategy and build the production-grade capabilities, ensuring solutions are valuable, adopted, responsible, and aligned to enterprise priorities. This Director will also lead teams responsible for applied AI solution delivery, process-level AI transformation, business-domain partnership, model and solution quality, shared AI product lifecycle execution, portfolio delivery, and continuous improvement of AI-enabled products and workflows. You will also work across Technology and business domains, including Information Security, Governance, Enterprise Architecture, Application Development, Digital Services, Infrastructure, Data Engineering, Product, Operations, Risk, Legal, and Compliance partners. The role also partners with external delivery, consulting, academic, and research partners.
Position Compensation Range:
$172,000.00 - $294,000.00
Pay Rate Type:
Salary
Compensation may vary based on the job level and your geographic work location. Relocation support is offered for eligible candidates.
Primary Accountabilities
  • Lead applied AI solution delivery
    • You will direct the development and delivery of applied AI, machine learning, and advanced analytics solutions that address high-value business problems.
    • Ensure solutions are production-oriented, maintainable, measurable, and aligned to enterprise priorities.
  • Advance process-level AI transformation
    • You will partner with business and Technology leaders to identify, assess, and redesign high-value workflows where AI can improve speed, quality, consistency, cost-to-serve, or customer/employee experience.
    • You will also assist teams connect individual AI capabilities into coherent business process journeys rather than isolated point solutions.
  • Shape AI opportunities and portfolio alignment
    • Partner with business, Technology, product, portfolio, and operations leaders to identify and prioritize applied AI opportunities.
    • Remain in tune with frontier/evolving AI capabilities and emerging research in order to inform the approaching opportunities and long-term strategy.
    • Translate ambiguous business needs into actionable AI solution opportunities, delivery roadmaps, and measurable outcomes.
  • Lead applied science and solution quality
    • Provide leadership over applied modeling, AI solution design, prompt and agentic workflow patterns, experimentation design, validation, and solution evaluation.
    • You will ensure teams use appropriate scientific, statistical, engineering, and product practices for the problem being solved.
  • Partner on AI product lifecycle management
    • You will work with business owners, product and portfolio leaders, AI Platform Engineering, and external delivery partners to shape AI product lifecycle practices from idea through production, adoption, continuous improvement, and retirement.
    • Clarify lifecycle responsibilities across business, Applied AI, AI Platform Engineering, and delivery partners so accountability is shared and sustainable.
  • Drive value realization and adoption
    • Define success measures for AI solutions and ensure delivered capabilities are adopted, measured, iterated, and connected to business impact.
    • Help business partners move from AI awareness to operational use and sustained value.
  • Develop reusable AI solution patterns
    • You will identify repeated solution patterns across domains and partner with AI Platform Engineering to convert them into reusable frameworks, components, and delivery accelerators.
    • Reduce one-off builds where shared approaches can improve speed, quality, governance, and long-term supportability.
  • Ensure operational handoff and ongoing solution improvement
    • You will design applied AI solutions with supportability, escalation paths, and operational handoff in mind.
    • Partner with AI Platform Engineering and business/product owners on L3 enhancements, bug fixes, upgrades, and solution-level improvements after production release.
  • Embed responsible AI and evaluation discipline
    • Embed responsible AI practices into applied AI delivery in alignment with enterprise governance expectations.
    • Partner with business, governance, and platform teams to define domain-specific evaluation criteria that reflect standards for quality, accuracy, compliance, fairness, customer experience, and business usefulness.
  • Lead people and develop talent
    • Build and lead high-performing teams of data scientists, applied AI practitioners, and related specialists aligned with enterprise strategy.
    • Set clear priorities, coach leaders and individual contributors, and create a collaborative, performance-driven, inclusive environment.

Specialized Knowledge & Skills Requirements
  • Demonstrated experience delivering AI, machine learning, or advanced analytics solutions into production business workflows.
  • Demonstrated ability to connect AI capabilities to measurable business outcomes and enterprise priorities.
  • Demonstrated experience leading process-level transformation, not only technology implementation.
  • Strong understanding of applied AI, machine learning, advanced analytics, experimentation, validation, and production adoption.
  • Experience with AI product lifecycle practices in a shared ownership model across business, data science, platform, product, portfolio, and external delivery partners.
  • Demonstrated experience partnering across Information Security, Governance, Enterprise Architecture, Application Development, Digital Services, Infrastructure, Data Engineering, Product, Operations, Risk, Legal, Compliance, and business teams.
  • Demonstrated ability to communicate complex technical concepts, tradeoffs, risks, and implications to non-technical and executive audiences.
  • Experience managing or partnering with external research, consulting, academic, or delivery partners.
  • Demonstrated ability to lead through ambiguity, emerging technology, growth, and organizational change.
  • Demonstrated effective people leadership, coaching, prioritization, and talent development skills.

Key Interfaces and Partners
  • Business executives, business product owners, domain leaders, and operations teams.
  • AI Platform Engineering for reusable technical patterns, MLOps/LLMOps, LLM pipeline frameworks, agentic workflow frameworks, deployment paths, observability, platform capabilities, production support patterns, and L3 enhancement partnership.
  • BI Engineering & Enablement for shared metrics, semantic context, BI consumption, trusted analytics foundations, and AI-consumable business context.
  • Data Engineering for data pipelines, curated data, AI-ready data assets, and domain data foundations.
  • Information Security, Enterprise Architecture, Infrastructure, Application Development, Digital Services, Cloud, Privacy, Legal, Compliance, Model Risk, AI Governance, and Data Governance.
  • Product, program, and portfolio leaders for prioritization, operating model alignment, delivery orchestration, and value realization.
  • External and contractor partners where they support applied AI delivery or operating model execution.
  • UW-Madison Data Science Institute and other external innovation or research partners

Additional Information
  • To ensure a strong start, all employees participate in our New Employee Orientation during their first week. This experience is held in person at our Madison, WI Headquarters or one of our AmFam core locations to help you connect with our mission, meet key team members and build relationships that support your growth. At times, sessions may be delivered virtually based on scheduling and availability.
  • Offer to selected candidate will be made contingent on the results of applicable background checks
  • Offer to selected candidate is contingent on signing a non-disclosure agreement for proprietary information, trade secrets, and inventions
  • Sponsorship will not be considered for this position unless specified in the posting

In this primarily office-based role, you will be expected to spend at least 80% of your time (4+ days per week) working from the office. Candidates should reside within approximately 35-50 miles of one of the following office locations: Madison, WI 53783 or Boston, MA 02110.
#LI- Onsite
We provide benefits that support your physical, emotional, and financial wellbeing. You will have access to comprehensive medical, dental, vision and wellbeing benefits that enable you to take care of your health. We also offer a competitive 401(k) contribution, a pension plan, an annual incentive, 9 paid holidays and a paid time off program (23 days accrued annually for full-time employees). In addition, our student loan repayment program and paid-family leave are available to support our employees and their families. Interns and contingent workers are not eligible for American Family Insurance Group benefits.
We are an equal opportunity employer. It is our policy to comply with all applicable federal, state and local laws pertaining to non-discrimination, non-harassment and equal opportunity. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.
American Family Insurance is committed to the full inclusion of all qualified individuals. If a reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please email AskHR@AmFam.com to request a reasonable accommodation.
#LI-AW1

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