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Biological Statistics Jobs in Wisconsin (NOW HIRING)

Varsity Tutors

MCAT Tutor

Madison, WI · Remote

$23 - $40/hr

Comprehensive knowledge of MCAT sections including Chemical and Physical Foundations of Biological ... and statistical interpretation. Emphasizes interdisciplinary connections and clinical relevance.

Varsity Tutors

MCAT Tutor

Milwaukee, WI · Remote

$23 - $40/hr

Comprehensive knowledge of MCAT sections including Chemical and Physical Foundations of Biological ... and statistical interpretation. Emphasizes interdisciplinary connections and clinical relevance.

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All JobsBiological Statistics JobsBiological Statistics Jobs in Wisconsin

Biological Statistics information

See Wisconsin salary details

$31.3K

$42.5K

$56.5K

How much do biological statistics jobs pay per year?

As of Aug 6, 2026, the average yearly pay for biological statistics in Wisconsin is $42,499.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,800.00 and $46,900.00 per year, depending on experience, location, and employer.

How do biological statisticians typically collaborate with research scientists during a project?

Biological statisticians play a key role in interdisciplinary teams by working closely with research scientists to design experiments, determine appropriate statistical methods, and interpret data. They are often involved from the initial planning stages, helping to ensure that data collection protocols will yield valid and reliable results. Throughout the project, statisticians communicate findings clearly, translate complex statistical concepts, and provide guidance on data-driven decisions. Effective collaboration and communication with researchers are crucial for the success of scientific studies.

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

To thrive as a Biological Statistician, you need a strong background in statistics, mathematics, and biology, typically supported by a degree in biostatistics, statistics, or a related field. Familiarity with statistical software such as R, SAS, or Python, and experience handling large biological datasets are essential. Strong analytical thinking, attention to detail, and effective communication skills help translate complex data into actionable insights for interdisciplinary teams. These skills are crucial for designing sound experiments, ensuring accuracy in data analysis, and supporting evidence-based decision-making in biological research.

Do biological statisticians make a lot of money?

Biological statisticians typically earn competitive salaries that vary based on experience, education, and location. According to industry data, median annual wages often range from $70,000 to over $100,000, with higher earnings possible for those with advanced skills in statistical software and data analysis in healthcare or pharmaceutical sectors.

What is the difference between Biological Statistics vs Biostatistics?

AspectBiological StatisticsBiostatistics
Required CredentialsDegree in statistics, mathematics, or biological sciencesDegree in statistics, biostatistics, or related health sciences
Work EnvironmentResearch labs, academia, biotech companiesHealthcare, public health, medical research
Industry UsageUsed across biological research and data analysisPrimarily in health and medical fields
Common Search IntentUnderstanding statistical methods in biologyApplying statistics to health and medicine

Biological Statistics and Biostatistics share overlapping skills and credentials, but Biological Statistics focuses more broadly on biological data analysis across various biological sciences, while Biostatistics specializes in health-related research and medical data. Both roles require strong statistical backgrounds, but their application areas differ, with Biological Statistics spanning multiple biological fields and Biostatistics centered on health and medicine.

Is a biological statistician a good career?

A biological statistician is a valuable role that involves applying statistical methods to biological research, often requiring knowledge of programming languages like R or SAS. The career offers strong job prospects, competitive salaries, and opportunities in healthcare, pharmaceuticals, and research institutions. It typically requires a strong educational background in statistics or biostatistics and may involve working in multidisciplinary teams.

What is a biological statistician?

Biological statisticians are professionals who apply statistical methods to the analysis of data generated from biological, medical, and health-related research. They help design experiments, analyze biological data, and interpret the results to support scientific conclusions. Their work is essential in fields like genetics, epidemiology, public health, and clinical trials. Biological statisticians ensure that research findings are statistically valid and meaningful, often collaborating with scientists, researchers, and healthcare professionals.
What are popular job titles related to Biological Statistics jobs in Wisconsin? For Biological Statistics jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Biological Statistics jobs in Wisconsin look for? The top searched job categories for Biological Statistics jobs in Wisconsin are:
Biological Statistics jobs near you

Scientist, Computational Chemist & MLOps Engineer

Arrowhead Pharmaceuticals

Madison, WI

$100K - $125K/yr

Full-time

Re-posted 12 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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