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Bioinformatics Analyst Jobs in Wisconsin (NOW HIRING)

AgSource

Sr. Data Engineer

Madison, WI · On-site

$114K - $137K/yr

This role is responsible for the design, development, and maintenance of data integration, analytics, and reporting solutions that support our animal genetics and bioinformatics workloads. The ideal ...

Urus

Sr. Data Engineer

Madison, WI

$114K - $137K/yr

This role is responsible for the design, development, and maintenance of data integration, analytics, and reporting solutions that support our animal genetics and bioinformatics workloads. The ideal ...

Farm Systems

Sr. Data Engineer

Madison, WI

$114K - $137K/yr

This role is responsible for the design, development, and maintenance of data integration, analytics, and reporting solutions that support our animal genetics and bioinformatics workloads. The ideal ...

Urus Group LP

Sr. Data Engineer

Madison, WI

$115K - $138K/yr

This role is responsible for the design, development, and maintenance of data integration, analytics, and reporting solutions that support our animal genetics and bioinformatics workloads. The ideal ...

AgSource

Sr. Data Engineer

Madison, WI · On-site

$114K - $137K/yr

This role is responsible for the design, development, and maintenance of data integration, analytics, and reporting solutions that support our animal genetics and bioinformatics workloads. The ideal ...

Trans Ova Genetics

Sr. Data Engineer

Madison, WI

$115K - $138K/yr

This role is responsible for the design, development, and maintenance of data integration, analytics, and reporting solutions that support our animal genetics and bioinformatics workloads. The ideal ...

AgSource

Research Geneticist

Watertown, WI

... and analysis; * 5 years of experience with basic bioinformatics procedure, such as alignment of whole-genome DNA sequence data against reference genomes, simple variant calling, and downstream ...

AgSource

Research Geneticist

Watertown, WI · On-site

$102K - $127K/yr

... and analysis; * 5 years of experience with basic bioinformatics procedure, such as alignment of whole-genome DNA sequence data against reference genomes, simple variant calling, and downstream ...

Urus Group LP

Research Geneticist

Watertown, WI

... and analysis; * 5 years of experience with basic bioinformatics procedure, such as alignment of whole-genome DNA sequence data against reference genomes, simple variant calling, and downstream ...

Farm Systems

Research Geneticist

Watertown, WI

... and analysis; * 5 years of experience with basic bioinformatics procedure, such as alignment of whole-genome DNA sequence data against reference genomes, simple variant calling, and downstream ...

Trans Ova Genetics

Research Geneticist

Watertown, WI

... and analysis; * 5 years of experience with basic bioinformatics procedure, such as alignment of whole-genome DNA sequence data against reference genomes, simple variant calling, and downstream ...

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All JobsBioinformatics Analyst JobsBioinformatics Analyst Jobs in Wisconsin

Bioinformatics Analyst information

See Wisconsin salary details

$6

$46

$83

How much do bioinformatics analyst jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for bioinformatics analyst in Wisconsin is $46.25, according to ZipRecruiter salary data. Most workers in this role earn between $36.39 and $49.52 per hour, depending on experience, location, and employer.

What Does a Bioinformatics Analyst Do?

A bioinformatics analyst works with large databases of omics data, such as genomics studies like the Human Genome Project. Your responsibilities in this career include research on the pathology of diseases and the development of experiments and algorithms to find cures. Your duties also involve ensuring compliance with all federal regulations and protocols. You may document your findings and present them at conferences as well. A career as a bioinformatics analyst requires advanced writing skills for writing scientific literature.

What is the difference between Bioinformatics Analyst vs Bioinformatics Technician?

AspectBioinformatics AnalystBioinformatics Technician
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, or related field; experience with data analysis toolsAssociate's or Bachelor's; focus on data processing and laboratory support
Work EnvironmentResearch labs, biotech companies, healthcare institutionsLaboratories, research facilities, academic settings
Employer & Industry UsageUsed in research, healthcare, biotech industries for data interpretationUsed for data collection, sample processing, and technical support roles

The main difference is that Bioinformatics Analysts focus on analyzing complex biological data and interpreting results, often requiring advanced degrees. Bioinformatics Technicians typically handle data collection, sample preparation, and technical tasks, supporting analysts and researchers. Both roles are essential in the biotech and healthcare industries, but they differ in responsibilities and required qualifications.

What are some common challenges faced by Bioinformatics Analysts when working with large genomic datasets?

One of the main challenges Bioinformatics Analysts encounter is managing and processing extremely large and complex genomic datasets, which often require advanced computational resources and efficient data management strategies. Ensuring data quality and accuracy while integrating information from various sources can also be demanding. Analysts frequently collaborate with biologists, clinicians, and IT professionals to interpret results and optimize workflows, which requires strong communication and interdisciplinary skills.

What does a Bioinformatics Analyst do?

A Bioinformatics Analyst uses computational and statistical methods to analyze biological data, such as DNA, RNA, or protein sequences. They interpret large datasets generated by experiments, develop algorithms, and create visualizations to help researchers understand complex biological processes. Their work supports scientific discoveries in fields like genomics, medicine, and agriculture, often collaborating with biologists, computer scientists, and other researchers.

What are the key skills and qualifications needed to thrive as a Bioinformatics Analyst, and why are they important?

To thrive as a Bioinformatics Analyst, you need a strong background in biology, statistics, and computer science, typically supported by a relevant bachelor's or master's degree. Familiarity with bioinformatics tools like BLAST, Python/R programming, and experience with databases such as GenBank or Ensembl are commonly required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for interpreting data and collaborating with multidisciplinary teams. These skills enable analysts to extract meaningful insights from complex biological data, driving research and innovation in genomics and healthcare.
More about Bioinformatics Analyst jobs
What are the most commonly searched types of Bioinformatics Analyst jobs in Wisconsin? The most popular types of Bioinformatics Analyst jobs in Wisconsin are:
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What job categories do people searching Bioinformatics Analyst jobs in Wisconsin look for? The top searched job categories for Bioinformatics Analyst jobs in Wisconsin are:
What cities in Wisconsin are hiring for Bioinformatics Analyst jobs? Cities in Wisconsin with the most Bioinformatics Analyst job openings:
What are popular job titles related to Bioinformatics Analyst jobs in WI? For Bioinformatics Analyst jobs in WI, the most frequently searched job titles are:
Bioinformatics Analyst jobs near you
Infographic showing various Bioinformatics Analyst job openings in Wisconsin as of July 2026, with employment types broken down into 86% Full Time, 9% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $96,200 per year, or $46.2 per hour.

Sr. Data Engineer

AgSource

Madison, WI • On-site

$114K - $137K/yr

Full-time

Re-posted 3 days ago

Job description


This role is responsible for the design, development, and maintenance of data integration, analytics, and reporting solutions that support our animal genetics and bioinformatics workloads. The ideal candidate will possess expertise in Databricks and modern data engineering tools such as Azure Data Factory, combined with hands on experience working with biological, genomic, or other omics datasets. This position requires a proactive, self-motivated, and results-oriented individual with a passion for data, a strong understanding of data architecture and warehousing principles, and an appreciation for bioinformatics workflows in a commercial genetics environment.
Responsibilities
Data Integration
  • Design, develop, and maintain robust and efficient ETL/ELT pipelines and processes on Databricks for both operational and bioinformatics datasets (e.g., genomic markers, phenotypic data, laboratory outputs).
  • Ingest, transform, and harmonize structured and semi-structured biological data from lab systems, LIMS, sequencing platforms, and external partners into the enterprise data platform.
  • Troubleshoot and resolve Databricks pipeline errors and performance issues.
  • Optimize data flow performance and minimize data latency across scientific and business use cases.
  • Implement data quality checks, validations, and reconciliation processes within ETL workflows, including domain-specific checks for genomic and phenotypic data.

Databricks Development
  • Develop and maintain Databricks pipelines, notebooks, and datasets using Python, Spark, and SQL.
  • Optimize Databricks jobs for performance and cost-effectiveness, including largescale bioinformatics and analytics workloads.
  • Integrate Databricks with other data sources and systems, including lab instruments, genomic databases, and on-prem or cloud data stores.
  • Participate in the design and implementation of data lake architectures that support both traditional analytics and bioinformatics pipelines.

Data Warehousing
  • Participate in the design and implementation of data warehousing solutions to support reporting, analytics, and scientific modeling.
  • Model and curate subject areas for genetics, reproduction, and bioinformatics (e.g., animals, pedigrees, genotypes, breeding values, trials).
  • Support data quality initiatives and implement data cleansing procedures across business and scientific domains.

Reporting and Analytics
  • Collaborate with business users, scientists, geneticists, and bioinformaticians to understand data requirements for department-driven reporting and analytics needs.
  • Maintain and extend the existing library of complex dashboards and visualizations to surface genetic, reproductive, and operational insights.
  • Enable self-service analytics for R&D and product teams by exposing well- governed, documented data products.
  • Troubleshoot and resolve report issues, including performance bottlenecks and data inconsistencies.

Cloud Platform Experience
  • Apply strong programming skills in Python, SQL, and Spark to build scalable data and bioinformatics workflows.
  • Use CI/CD and IaC tools (Terraform, ARM, CloudFormation) to automate deployment of data platform components and analytics environments.
  • Design and implement Databricks platform architecture on Azure and AWS infrastructure, including environments that support largescale scientific computation.
  • Contribute to cloud security, governance, and cost optimization practices for data and bioinformatics workloads.

Bioinformatics and Scientific Collaboration
  • Partner with geneticists, biostatisticians, and bioinformaticians to translate scientific requirements into scalable data and platform architectures.
  • Support or orchestrate bioinformatics pipelines (e.g., variant processing, quality control, annotation, genotype imputation, genomic evaluation) using cloud and Databricks capabilities.
  • Ensure that data models, pipelines, and storage structures meet the needs of downstream analytics, predictive models, and genetic evaluations.
  • Advocate for best practices in managing sensitive biological and genetic data, including data governance, access control, and compliance with relevant standards and regulations.

Collaboration and Communication
  • Thrive in an entrepreneurial, self-starting, and fast-paced environment, working both independently and with our highly skilled teams.
  • Collaborate effectively with business users, data analysts, scientists, and other IT teams.
  • Communicate technical information clearly and concisely, both verbally and in writing, to technical and nontechnical stakeholders.
  • Document all development work, data models, and procedures thoroughly, including bioinformatics and scientific data flows.

Continuous Growth
  • Keep abreast of the latest advancements in data integration, cloud platforms, bioinformatics tooling, and data engineering technologies.
  • Continuously improve skills and knowledge through training and self-learning in both data engineering and bioinformatics domains.

Requirements
  • Bachelor's degree in Computer Science, Information Systems, Bioinformatics, Computational Biology, or a related field; a Master's degree is an asset.
  • 7+ years of experience in data integration and reporting, with experience designing and operating cloud-based data platforms.
  • Extensive experience with Databricks, including Python, Spark, and Delta Lake.
  • Strong proficiency with relational databases (e.g., SQL Server, RDS), including TSQL, stored procedures, and functions.
  • Experience with data warehousing concepts and best practices.
  • Experience with Microsoft Azure cloud platform; exposure to Microsoft Fabric is desirable.
  • Hands on experience working with biological, genomic, or other omics datasets in a bioinformatics or life sciences setting (e.g., sequence data, SNP arrays, GWAS outputs, phenotypic traits).
  • Familiarity with common bioinformatics tools, data formats (e.g., FASTQ, VCF, PLINK), and workflows is highly desirable.
  • Strong analytical and problem-solving skills, with the ability to reason about complex data and scientific requirements.
  • Excellent communication and interpersonal skills.
  • Ability to work independently and as part of a cross-functional team across IT, science, and business.
  • Experience with Agile methodologies.
  • Demonstrated background in bioinformatics or computational biology, preferably supporting genetics, breeding, or life science research in an applied or commercial context.
  • Must be legally authorized to work in the United States.

About Us
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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