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Science Manager Jobs in Madison, WI (NOW HIRING)

AgSource

Dairy Data Scientist

Madison, WI · On-site

Master's or PhD with research focused on dairy production, animal science, nutrition, reproduction, genetics, or animal health. * Experience working with dairy herd-management, DHIA, sensor, genomic ...

Innovizant LLC

Data Scientist

Madison, WI

However, the biggest challenge during managing this data comes across in the terms of 'Value Realization'. The true measure of success is to be able to put the data science insights into actionable ...

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Science Manager information

See Madison, WI salary details

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$26

$54

How much do science manager jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for science manager in Madison, WI is $26.55, according to ZipRecruiter salary data. Most workers in this role earn between $17.45 and $32.93 per hour, depending on experience, location, and employer.

What is a science manager?

Science Managers are professionals who oversee scientific research projects, teams, or departments within organizations such as research institutes, universities, government agencies, or private companies. Their responsibilities include coordinating research activities, managing budgets and resources, ensuring compliance with regulations, and facilitating communication between scientists and other stakeholders. Science Managers play a crucial role in translating scientific objectives into actionable plans and ensuring that projects are completed efficiently and effectively. They often have advanced degrees in science and strong leadership, organizational, and communication skills.

What are the key skills and qualifications needed to thrive as a science manager?

To thrive as a Science Manager, you generally need a strong background in scientific research, leadership experience, and an advanced degree such as a PhD or MSc in a relevant field. Familiarity with data analysis software, laboratory information management systems (LIMS), and project management tools is typically required. Outstanding communication, problem-solving, and team-building skills help Science Managers effectively lead multidisciplinary teams and coordinate complex projects. These skills are crucial for ensuring scientific rigor, driving innovation, and achieving organizational objectives in research environments.

What are the main challenges a science manager faces when leading interdisciplinary research teams?

One of the main challenges Science Managers encounter is effectively coordinating communication and collaboration among team members from diverse scientific backgrounds. Aligning different methodologies, expectations, and terminologies can require extra effort to ensure everyone is working toward common goals. Additionally, Science Managers must balance administrative responsibilities, such as securing funding and managing budgets, with supporting the scientific growth of their team. Successful Science Managers foster an inclusive environment that encourages innovation while maintaining clear project timelines and deliverables.

What is the difference between Science Manager vs Research Scientist?

AspectScience ManagerResearch Scientist
Required credentialsTypically a master's or PhD in a scientific field, leadership experienceUsually a PhD or master's in a specific science, strong research background
Work environmentLeads teams, manages projects, oversees research activitiesConducts experiments, analyzes data, publishes findings
Employer and industry usageUsed in biotech, pharma, research institutions, and corporate R&DCommon in academia, industry, government research labs

Science Managers focus on leading research teams and managing projects, while Research Scientists primarily conduct experiments and analyze data. Both roles require advanced scientific credentials, but their responsibilities and work environments differ significantly.

What does a science manager do?

A science manager oversees scientific research projects, coordinates teams of scientists, and ensures that experiments and studies meet objectives and standards. They often manage budgets, develop strategies, and communicate findings to stakeholders, requiring strong leadership and knowledge of scientific methods and tools.

What are the most commonly searched types of Science jobs in Madison, WI?

The most popular types of Science jobs in Madison, WI are:

Science Manager jobs near you
Infographic showing various Science Manager job openings in Madison, WI as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $55,233 per year, or $26.6 per hour.

Dairy Data Scientist

Madison, WI • On-site

AgSource
Crop Farming • 51 - 200 employees
Learn more about AgSourceexternal

Full-time

Posted 18 days ago

Job description

Are you passionate about dairy science and interested in using data to improve herd performance, animal health, and farm decision-making?

VAS, a URUS Group company, is looking for a Dairy Data Scientist who brings strong knowledge of dairy production and the ability to apply statistics, analytics, and programming to real-world dairy challenges.

This role sits at the intersection of dairy science, research, analytics, and technology. You'll work with veterinarians, nutritionists, dairy scientists, farm operators, data engineers, and software teams to analyze biological, production, sensor, and operational data and turn it into meaningful insights for the dairy industry.

What You'll Do

  • Analyze dairy production, herd health, nutrition, reproduction, sensor, genomic, and operational data.

  • Apply statistical analysis and predictive modeling to identify trends, risks, and opportunities related to herd performance.

  • Support dairy research initiatives, field trials, experimental design, data analysis, and technical reporting.

  • Use tools such as Python, R, SQL, Databricks, or similar analytics platforms to explore and analyze complex datasets.

  • Help develop dashboards, reports, decision-support tools, and automated analytics.

  • Evaluate precision dairy technologies, herd-management systems, automated milking systems, IoT devices, and other emerging technologies.

  • Partner with veterinarians, nutritionists, farm managers, researchers, data scientists, and engineers.

  • Translate scientific findings and analytical results into practical recommendations for dairy operations and business teams.

What We're Looking For

  • Bachelor's degree in Dairy Science, Animal Science, Agricultural Science, Statistics, Data Science, Veterinary Science, Biology, or a related field.

  • Meaningful academic, research, or professional experience related to dairy cattle, dairy production, herd health, nutrition, reproduction, milk production, or animal science.

  • Experience using data and statistics to answer scientific or operational questions.

  • Some hands-on programming or analytics experience with tools such as Python, R, SQL, SAS, or similar technologies.

  • Knowledge of statistical analysis, experimental design, or predictive modeling.

  • Ability to communicate scientific and analytical findings to both technical and non-technical audiences.

  • Curiosity and willingness to learn new data platforms and technologies.

Even Better If You Bring

  • Master's or PhD with research focused on dairy production, animal science, nutrition, reproduction, genetics, or animal health.

  • Experience working with dairy herd-management, DHIA, sensor, genomic, or precision dairy data.

  • Experience with Databricks, PySpark, Delta Lake, or cloud-based analytics platforms.

  • Experience with machine learning or predictive modeling.

  • Experience with Power BI, Tableau, or other visualization tools.

  • Peer-reviewed publications, conference presentations, or technical research reports.

  • Direct exposure to dairy farm operations and an understanding of how scientific recommendations translate into day-to-day farm decisions.

Why This Role

This is an opportunity to combine dairy science with modern analytics and help solve meaningful problems affecting herd health, production efficiency, sustainability, and farm profitability.

You don't need to arrive as an expert in every technology we use. If you bring strong dairy knowledge, scientific curiosity, quantitative skills, and some coding experience, we want to hear from you.

For the past 40 years we've woken up each day to support those that never stop feeding the world - and we have no plans to quit. We set the standard for farm management solutions and fix our eyes on raising the bar to meet the next generation of expectations.

Our software and information solutions help collect and connect a farm's data - from herd management to feed performance, tracking and more. These insights are a source of truth, empowering producers and their trusted advisors to make profit-driven and sustainable management decisions.

Whether near or far, large or small, VAS is at the heart of your dairy.

VAS has deep roots in the industry through its origin within the URUS family of companies. As a holding company with cooperative and private ownership, URUS is a family of businesses at the heart of the dairy and beef industry - Alta Genetics, GENEX, Genetics Australia, Leachman Cattle, Jetstream, PEAK, SCCL, Trans Ova Genetics and VAS.  Each organization has its unique identity, products, and services. These companies work globally to provide cutting-edge dairy and beef genetics, customized reproductive services to maximize conceptions, dairy management information to take producers to the frontline of progressive dairy farming, and an array of products and services to help bovines reach their full genetic potential. URUS has 9 brands in 17 retail countries and employs nearly 2,800 people globally.

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