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Full Time Bioinformatics Machine Learning Jobs in Arlington, WI

Develop and apply advanced statistical, machine learning, and computational methods to biological ... Bioinformatics, Biomedical Engineering or related field * Strong background in quantitative ...

Develop and apply advanced statistical, machine learning, and computational methods to biological ... Bioinformatics, Biomedical Engineering or related field * Strong background in quantitative ...

Machine Operator Level 2

Beaver Dam, WI · On-site

$22.70 - $24.20/hr

Starting at $24.20 3rd shift Hours: Full-Time | 3rd shift Are you an experienced Machine Operator ... Willingness to keep learning while working on your feet in a fast-paced environment * Strong ...

Machine Operator Level 2

Beaver Dam, WI · On-site

$22.70 - $24.20/hr

Starting at $24.20 3rd shift Hours: Full-Time | 3rd shift Are you an experienced Machine Operator ... Willingness to keep learning while working on your feet in a fast-paced environment * Strong ...

Madison, WI Full Time (Direct Hire) 5+ Years of total experience and 2-4 years of in-depth and ... Qualifications Data Science, Analysis, Python, R, Statistical Modeling, Machine Learning Additional ...

Madison, WI Full Time (Direct Hire) • 5+ Years of total experience and 2-4 years of in-depth and ... Qualifications Data Science, Analysis, Python, R, Statistical Modeling, Machine Learning Additional ...

This full-time position offers a second shift schedule of Monday - Thursday, 2:45 PM - 12:45 AM, a ... If you have an interest in working in a high-tech manufacturing environment, while learning ...

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Showing results 1-20

Full Time Bioinformatics Machine Learning information

See Arlington, WI salary details

$58.2K

$92.4K

$146.2K

How much do full time bioinformatics machine learning jobs pay per year?

As of Aug 21, 2026, the average yearly pay for full time bioinformatics machine learning in Arlington, WI is $92,410.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $126,700.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Bioinformatics Machine Learning vs Full Time Data Scientist?

AspectFull Time Bioinformatics Machine LearningFull Time Data Scientist
Required CredentialsDegree in Bioinformatics, Computer Science, or related field; knowledge of biology and machine learningDegree in Data Science, Statistics, Computer Science, or related field; strong programming skills
Work EnvironmentResearch labs, biotech companies, healthcare institutionsTech companies, finance, consulting firms, various industries
Industry UsageBiotech, healthcare, genomicsFinance, marketing, tech, healthcare
Common Search/ComparisonYesYes

Full Time Bioinformatics Machine Learning roles focus on applying machine learning techniques to biological data, often within healthcare or biotech settings. Full Time Data Scientist positions are broader, covering various industries and data types. While both require programming and statistical skills, bioinformatics roles emphasize biological knowledge, whereas data science roles focus on diverse data applications across industries.

Infographic showing various Full Time Bioinformatics Machine Learning job openings in Arlington, WI as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $92,410 per year, or $44.4 per hour.

Scientist, Computational Chemist & MLOps Engineer

Arrowhead Pharmaceuticals

Madison, WI • On-site

$100K - $125K/yr

Full-time

Re-posted 27 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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