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Remote Genomics Data Scientist Jobs in Wisconsin

AgSource

Dairy Data Scientist

Watertown, WI · On-site +1

Are you passionate about dairy science and interested in using data to improve herd performance ... Analyze dairy production, herd health, nutrition, reproduction, sensor, genomic, and operational ...

Urus Group LP

Dairy Data Scientist

Watertown, WI · On-site +1

Are you passionate about dairy science and interested in using data to improve herd performance ... Analyze dairy production, herd health, nutrition, reproduction, sensor, genomic, and operational ...

Wisconsin

Data Scientist II

Madison, WI · On-site +1

$80K/yr

The Data Scientist II will design, develop, and maintain data pipelines, data models ... remote and requires work be performed at an offsite, non-campus work location. Key Job ...

Varsity Tutors

Genetics Tutor

Madison, WI · Remote

$18 - $40/hr

... genomic data. Emphasizes probabilistic reasoning and connects genetics to genetic counseling, forensic science, evolutionary biology, and personalized medicine applications. * Curriculum Awareness ...

Varsity Tutors

Genetics Tutor

Milwaukee, WI · Remote

$18 - $40/hr

... genomic data. Emphasizes probabilistic reasoning and connects genetics to genetic counseling, forensic science, evolutionary biology, and personalized medicine applications. * Curriculum Awareness ...

Danaher

Principal Clinical Scientist

Milwaukee, WI · On-site +1

... remote based (can also be onsite in Chaska, MN). At Danaher Diagnostics, our vision is to be the ... Ability to critically review and interpret scientific and clinical trial data, and oversee the ...

Qualysoft

... von Data-Science- und KI-Projekten. Rahmenbedingungen Start: ASAP Laufzeit: Ende 2026, Verlangerung moglich Auslastung: 100 % Arbeitsmodell: Remote bevorzugt, gelegentliche Vor-Ort-Termine nach ...

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All JobsGenomics Data Scientist JobsRemote Genomics Data Scientist JobsRemote Genomics Data Scientist Jobs in Wisconsin

Remote Genomics Data Scientist information

What is a remote genomics data scientist?

A Remote Genomics Data Scientist is a professional who analyzes and interprets large-scale genetic data, such as DNA sequencing, using computational and statistical methods, while working from a remote location. Their work often involves using bioinformatics tools and machine learning to identify patterns and insights in genomic datasets. This role supports research in healthcare, pharmaceuticals, and biotechnology, helping to advance personalized medicine and disease understanding. Remote Genomics Data Scientists collaborate with multidisciplinary teams and often communicate findings through reports and visualizations.

How does a remote genomics data scientist typically collaborate with cross-functional research teams?

As a Remote Genomics Data Scientist, collaboration often happens through virtual meetings, shared code repositories, and cloud-based data platforms. You'll regularly interact with bioinformaticians, laboratory scientists, and clinicians to define research questions, interpret genomic data, and ensure data analysis aligns with study goals. Effective communication is key, as you'll translate complex results for non-technical stakeholders and coordinate project timelines across different locations and time zones.

What are the key skills and qualifications needed to thrive as a remote genomics data scientist, and why are they important?

To thrive as a Remote Genomics Data Scientist, you need a strong background in bioinformatics, statistics, and genomics, typically supported by an advanced degree in a relevant field. Proficiency with programming languages such as Python or R, experience with genomic data analysis tools (e.g., GATK, Bioconductor), and cloud-based data platforms are essential. Excellent problem-solving, communication, and collaboration skills help you interpret complex data and work effectively with interdisciplinary teams. These skills ensure accurate analysis, meaningful insights, and successful remote collaboration on cutting-edge genomics projects.

What is the difference between Remote Genomics Data Scientist vs Remote Bioinformatics Analyst?

AspectRemote Genomics Data ScientistRemote Bioinformatics Analyst
Required CredentialsMaster's or PhD in Genetics, Bioinformatics, or related field; experience with genomics data analysisBachelor's or Master's in Bioinformatics, Biology, or related; familiarity with bioinformatics tools
Work EnvironmentResearch labs, biotech companies, or healthcare organizations focusing on genomicsResearch institutions, healthcare, or biotech firms analyzing biological data
Industry UsagePrimarily in genomics research, personalized medicine, and biotechIn bioinformatics projects across healthcare, agriculture, and research

Remote Genomics Data Scientists focus on analyzing genomic data to uncover biological insights, often requiring advanced degrees and specialized skills. Remote Bioinformatics Analysts handle biological data analysis but may have a broader scope, including various biological datasets. Both roles are vital in biotech and healthcare industries, but the Genomics Data Scientist typically emphasizes genomic-specific expertise.

What are the most commonly searched types of Genomics Data Scientist jobs in Wisconsin?

The most popular types of Genomics Data Scientist jobs in Wisconsin are:

What are popular job titles related to Remote Genomics Data Scientist jobs in Wisconsin?

For Remote Genomics Data Scientist jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Remote Genomics Data Scientist jobs in Wisconsin look for?

The top searched job categories for Remote Genomics Data Scientist jobs in Wisconsin are:

What cities in Wisconsin are hiring for Remote Genomics Data Scientist jobs?

Cities in Wisconsin with the most Remote Genomics Data Scientist job openings:

Remote Genomics Data Scientist jobs near you
Infographic showing various Remote Genomics Data Scientist job openings in Wisconsin as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Dairy Data Scientist

AgSource

Watertown, WI • On-site, Remote

Full-time

Posted 10 days ago

Key responsibilities

  • 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.

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

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.
About Us
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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