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Applied Statistics Jobs in Madison, WI (NOW HIRING)

MS in Applied Statistics, Mathematics, Econometrics, or other discipline related to Time-Series Analysis, Machine learning and Forecasting, or other related discipline. * 3-5 years of relevant ...

Data Scientist II/III

Madison, WI · On-site

$95 - $130/hr

At least five years of relevant experience in health-related applied research, statistics, and analytics. * Advanced proficiency with statistical software and programming languages, specifically ...

Applications Scientist 3

Oregon, WI · On-site

$90 - $150/hr

D. in Applied Physics, Materials Science, Electrical Engineering, Applied Mathematics or related ... Experience with data science and statistical analysis is a plus. * Proficiency in scripting ...

New

MS or PhD in biostatistics, statistics, or epidemiology. * 4+ years of experience in pharmaceutical ... Advanced proficiency in R, Python, SAS, or Stata applied to real clinical or epidemiological ...

Biostatistician

Madison, WI · Remote

$60 - $100/hr

MS or PhD in biostatistics, statistics, or epidemiology. * 4+ years of experience in pharmaceutical ... Advanced proficiency in R, Python, SAS, or Stata applied to real clinical or epidemiological ...

Understanding of applied research methods, including research design, data collection, basic statistical concepts, and interpretation of results to produce rigorous, actionable findings. * Experience ...

Senior Researcher

Madison, WI · On-site +1

$75K - $105K/yr

Understanding of applied research methods, including research design, data collection, basic statistical concepts, and interpretation of results to produce rigorous, actionable findings. * Experience ...

Tax Analyst

Madison, WI · On-site

$89K/yr

... statistical or management information reports. * Experience communicating program findings ... For this requirement, a competitive appointment is one where you applied to and were appointed from ...

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Applied Statistics information

See Madison, WI salary details

$40.8K

$84.3K

$117.9K

How much do applied statistics jobs pay per year?

As of Aug 21, 2026, the average yearly pay for applied statistics in Madison, WI is $84,295.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,400.00 and $116,900.00 per year, depending on experience, location, and employer.

What is an applied statistics?

An Applied Statistics job involves using statistical methods and data analysis techniques to solve real-world problems across various industries. Professionals in this field apply mathematical models, statistical software, and analytical reasoning to interpret data, make informed decisions, and optimize processes. They often work in sectors like healthcare, finance, marketing, and technology, providing insights and recommendations based on data trends.

What does an applied statistics do?

Professionals in Applied Statistics can expect to work on projects involving data collection, cleaning, statistical modeling, and interpretation of results for practical applications in fields like healthcare, finance, marketing, or engineering. Daily responsibilities may include designing experiments or surveys, performing hypothesis testing, and creating actionable reports or presentations for non-technical audiences. Collaboration with multidisciplinary teams—such as data scientists, subject matter experts, and business leaders—is common to ensure data-driven solutions align with organizational goals. This diversity of tasks provides valuable learning experiences and opportunities for career growth into roles such as senior analyst, data scientist, or statistical consultant.

What are the key skills and qualifications needed to thrive in applied statistics?

To thrive in Applied Statistics, you need a solid background in statistical theory, data analysis, and mathematical modeling, typically with a degree in statistics, mathematics, or a related field. Familiarity with statistical software such as R, SAS, Python, or SPSS, and often certifications in analytics or data science, is important. Strong analytical thinking, effective communication, and problem-solving abilities help set candidates apart. These skills ensure accurate analysis of complex data, meaningful interpretation for stakeholders, and valuable contributions to evidence-based decision making.

Is applied statistics a good career?

Applied statistics is a strong career choice for those interested in data analysis, modeling, and decision-making, often requiring skills in programming languages like R or Python. It offers diverse opportunities across industries such as healthcare, finance, and technology, with competitive salaries and growth potential. Success typically depends on strong analytical skills, statistical knowledge, and the ability to communicate findings effectively.

What can you do with an applied statistics degree?

An applied statistics degree prepares individuals for roles such as data analyst, statistician, or data scientist, involving data collection, analysis, and interpretation using tools like R or Python. Graduates can work in industries like healthcare, finance, marketing, or technology, often requiring strong analytical skills and knowledge of statistical methods. Certification in statistical software or data analysis can enhance job prospects.

What are popular job titles related to Applied Statistics jobs in Madison, WI?

For Applied Statistics jobs in Madison, WI, the most frequently searched job titles are:

Infographic showing various Applied Statistics job openings in Madison, WI as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $84,295 per year, or $40.5 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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