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Bioinformatics Data Analyst Jobs in Wisconsin (NOW HIRING)

AgSource

Research Geneticist

Watertown, WI · On-site

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

Alta Genetics

Research Geneticist

Watertown, WI · On-site

$102K - $127K/yr

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

AgSource

Research Geneticist

Watertown, WI · On-site

$102K - $127K/yr

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

Urus Group LP

Research Geneticist

Watertown, WI

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

Urus

Research Geneticist

Watertown, WI · On-site

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

Trans Ova Genetics

Research Geneticist

Watertown, WI · On-site

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

Farm Systems

Research Geneticist

Watertown, WI · On-site

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

Alta Genetics

Research Geneticist

Watertown, WI · On-site

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

Varsity Tutors

Genetics Tutor

Madison, WI · Remote

$18 - $40/hr

Ability to explain linkage analysis, Hardy-Weinberg equilibrium, and gene regulation models while ... Adapts instruction using Punnett squares, pedigree practice sets, and bioinformatics tools to ...

Varsity Tutors

Genetics Tutor

Milwaukee, WI · Remote

$18 - $40/hr

Ability to explain linkage analysis, Hardy-Weinberg equilibrium, and gene regulation models while ... Adapts instruction using Punnett squares, pedigree practice sets, and bioinformatics tools to ...

Abbott

Clinical Laboratory Director

Madison, WI · On-site

Strong understanding of technical components of testing, including bioinformatics and Information ... Use of computer and some time may be spent concentrating, reading, or analyzing data, or applying ...

Abbott

Clinical Laboratory Director

Madison, WI · On-site

Strong understanding of technical components of testing, including bioinformatics and Information ... Use of computer and some time may be spent concentrating, reading, or analyzing data, or applying ...

Abbott

Clinical Laboratory Director

Madison, WI · On-site

Strong understanding of technical components of testing, including bioinformatics and Information ... Use of computer and some time may be spent concentrating, reading, or analyzing data, or applying ...

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All JobsBioinformatics Data Analyst JobsBioinformatics Data Analyst Jobs in Wisconsin

Bioinformatics Data Analyst information

See Wisconsin salary details

$6

$46

$83

How much do bioinformatics data analyst jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for bioinformatics data 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 are the key skills and qualifications needed to thrive as a bioinformatics data analyst?

To thrive as a Bioinformatics Data Analyst, a solid background in biology, statistics, and programming (often with a degree in bioinformatics, computational biology, or a related field) is essential. Proficiency with tools such as R, Python, SQL, and bioinformatics software like BLAST or Bioconductor, as well as experience with large datasets and relevant certifications, is typically required. Strong analytical thinking, attention to detail, and effective communication skills help analysts interpret complex data and collaborate with interdisciplinary teams. These skills ensure accurate data analysis, meaningful biological insights, and successful project outcomes in research or clinical settings.

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

AspectBioinformatics Data AnalystBioinformatics Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, or related fieldsMaster's or PhD in Bioinformatics, Computational Biology, or related fields
Work EnvironmentData analysis teams, research labs, healthcare settingsResearch projects, development of algorithms, scientific publications
Employer & Industry UsageBiotech companies, healthcare institutions, research organizationsAcademic institutions, biotech firms, pharmaceutical companies
Common Search & ComparisonOften compared for data analysis roles in bioinformaticsMore research-focused, involved in algorithm development

Bioinformatics Data Analysts primarily focus on analyzing biological data using existing tools, while Bioinformatics Scientists develop new algorithms and conduct research. Both roles require strong computational skills, but the Scientist role typically involves more advanced research and innovation.

How do bioinformatics data analysts collaborate with researchers and other team members?

Bioinformatics Data Analysts often work closely with biologists, clinicians, and software engineers, acting as a bridge between experimental research and computational analysis. Collaboration usually involves interpreting experimental data, discussing analytical approaches, and presenting findings in a way that's accessible to non-technical stakeholders. Regular team meetings and project updates are common, and strong communication skills are essential for translating complex data insights into actionable information for the broader research team. This multidisciplinary teamwork fosters innovation and ensures that analyses align with the goals of larger research projects.

What is a bioinformatics data analyst?

Bioinformatics Data Analysts are professionals who use computational tools and methods to analyze biological data, such as genomic sequences or protein structures. They work at the intersection of biology, computer science, and statistics to interpret complex datasets and draw meaningful insights for research or clinical applications. Their work supports areas like drug discovery, personalized medicine, and evolutionary biology. Typically, they collaborate with biologists, software engineers, and statisticians to solve complex biological problems. Strong analytical skills and proficiency with data analysis software are essential for this role.
What are popular job titles related to Bioinformatics Data Analyst jobs in Wisconsin? For Bioinformatics Data Analyst jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Data Analyst jobs in Wisconsin look for? The top searched job categories for Bioinformatics Data Analyst jobs in Wisconsin are:
What cities in Wisconsin are hiring for Bioinformatics Data Analyst jobs? Cities in Wisconsin with the most Bioinformatics Data Analyst job openings:
Bioinformatics Data Analyst jobs near you
Infographic showing various Bioinformatics Data Analyst job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $96,200 per year, or $46.2 per hour.

Scientist, Computational Chemist & MLOps Engineer

Arrowhead Pharmaceuticals

Madison, WI • On-site

$100K - $125K/yr

Full-time

Re-posted 16 days ago

Job description

Arrowhead Pharmaceuticals, Inc. (Nasdaq ARWR) is a commercial stage biopharmaceutical company that develops medicines that treat intractable diseases by silencing the genes that cause them. Using a broad portfolio of RNA chemistries and efficient modes of delivery, Arrowhead therapies trigger the RNA interference mechanism to induce rapid, deep, and durable knockdown of target genes. RNA interference, or RNAi, is a mechanism present in living cells that inhibits the expression of a specific gene, thereby affecting the production of a specific protein. Arrowhead's RNAi-based therapeutics leverage this natural pathway of gene silencing.
Arrowhead is focused on developing innovative drugs for diseases with a genetic basis, typically characterized by the overproduction of one or more proteins that are involved with disease. The depth and versatility of our RNAi technologies enables us to potentially address conditions in virtually any therapeutic area and pursue disease targets that are not otherwise addressable by small molecules and biologics. Arrowhead is leading the field in bringing the promise of RNAi to address diseases outside of the liver, and our clinical pipeline includes disease targets in the liver and lung with a promising pipeline of preclinical candidates.
Arrowhead's corporate headquarters is in Pasadena, CA with research and development teams in Madison, WI & San Diego, CA, and a state of the art manufacturing facility in Verona, WI. Our employees are nimble, science-driven innovators who are collaborating to bring new therapies to patients in need.
The Position
We are seeking a highly motivated computational scientist to join our research organization and contribute to machine learning-driven drug discovery efforts. This role will focus on data engineering, statistical modeling, bioinformatics, and scientific software development supporting internal therapeutic design programs. The ideal candidate combines strong quantitative reasoning with practical software engineering skills and is comfortable operating independently in a Linux-based research computing environment.
This position may be filled at the Scientist I - III level depending on experience and qualifications.
Responsibilities
  • Develop and apply statistical and machine learning models to experimental datasets
  • Design, maintain, and optimize scientific databases and data processing pipelines
  • Build reproducible computational workflows for bioinformatics and drug discovery applications
  • Analyze high-dimensional biological datasets and communicate findings to multidisciplinary teams
  • Contribute production-quality Python code and maintain version-controlled scientific software
  • Operate effectively in Linux/HPC environments, including remote systems and cloud-based infrastructure
  • Write clear, maintainable, and testable scientific code
  • Debug complex computational and data issues independently
  • Operate effectively in terminal/Linux-native workflows
  • Apply statistically rigorous thinking to experimental interpretation
  • Maintain reproducibility and software engineering discipline in research environments
  • Partner with scientists across biology, chemistry, bioinformatics, and computational research groups
  • Support development of internal computational platforms and modeling infrastructure
  • Document workflows, analyses, and software according to reproducible research standards
  • Mentor junior team members and contribute to technical best practices (Scientist II/III)

Requirements
Scientist I
  • Bachelor's or Master's degree in Bioinformatics, Biostatistics, Computational Biology, Computer Science, Data Science, Applied Mathematics, or related field
  • Strong programming experience in Python
  • Experience working in Linux command-line environments
  • Foundational understanding of statistics and machine learning methods
  • Experience handling structured and unstructured biological datasets
  • Familiarity with source control tools such as Git

Scientist III (In addition to the above)
  • Advanced degree (PhD preferred) or equivalent industry experience
  • Demonstrated history of leading computational projects independently
  • Strong background in applied statistics, predictive modeling, and experimental data interpretation
  • Experience mentoring scientists or leading technical initiatives
  • Ability to translate ambiguous scientific problems into robust computational solutions

Preferred
  • Experience with predictive modeling and/or deep learning methods
  • Familiarity with modern ML tooling and model evaluation methodologies
  • Experience in therapeutic design, RNA biology, genomics, or laboratory experience
  • Experience with bioinformatics workflows and sequence-based analysis
  • Experience working with large-scale biological or omics datasets
  • Experience with distributed computing systems
  • Experience operating in collaborative software development environments

Wisconsin pay range
$100,000-$125,000 USD
Arrowhead provides competitive salaries and an excellent benefit package.
Candidates must have current, valid authorization to work in the country where this role is located.
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