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Statistical Programmer Jobs in Wisconsin (NOW HIRING)

DataAnnotation

$60/hr

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g ...

UCB

Proficient in statistical programming (e.g., SAS or R) and simulation tools * Strong stakeholder skills; explain complex quantitative concepts to non-experts * Knowledge of CDISC standards (SDTM/ADaM ...

Ra

Marketing Analytics Manager

Milwaukee, WI

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Medica

Actuarial Associate

Madison, WI · On-site

$88.80K - $152.30K/yr

Use statistical programming and database tools for modeling and forecasting. * Analyze historical data to identify trends and develop future projections. * Apply actuarial principles to complex ...

Imedica

Actuarial Associate

Madison, WI · On-site

$88.80K - $152.30K/yr

Use statistical programming and database tools for modeling and forecasting. * Analyze historical data to identify trends and develop future projections. * Apply actuarial principles to complex ...

Medica

Actuarial Associate

Madison, WI · On-site

$88.80K - $152.30K/yr

Use statistical programming and database tools for modeling and forecasting. * Analyze historical data to identify trends and develop future projections. * Apply actuarial principles to complex ...

RecruitingDash

C Programmer

Menomonee Falls, WI · On-site

The C Programmer/Analyst primary duties include creating and modifying programs and writing code in ... statistics and client project completion. The position will perform systems analysis. Duties and ...

Hayes Performance Systems

CMM Programmer

Mequon, WI · On-site

CMM Programmer Mequon, WI | Department: Quality | Reports to: Quality Supervisor About Hayes ... Use statistical tools (such as QC-Calc) to monitor process capability and support data-driven ...

Amphenol

CNC Set-Up Programmer

Franklin, WI

$24.50 - $33.75/hr

At its core, the CNC Programming Department is accountable for producing high quality CNC programs ... Statistics: Interpret and analyze numerical data using statistical methods. * Basic algebra: The ...

amphenol

CNC Set-Up Programmer

Franklin, WI

$24.50 - $33.75/hr

At its core, the CNC Programming Department is accountable for producing high quality CNC programs ... Statistics: Interpret and analyze numerical data using statistical methods. * Basic algebra: The ...

Amphenol

CNC Set-Up Programmer

Franklin, WI

$24.50 - $33.75/hr

At its core, the CNC Programming Department is accountable for producing high quality CNC programs ... Statistics: Interpret and analyze numerical data using statistical methods. * Basic algebra: The ...

Amphenol

CNC Set-Up Programmer

Franklin, WI · On-site

$24.50 - $33.75/hr

At its core, the CNC Programming Department is accountable for producing high quality CNC programs ... Statistics: Interpret and analyze numerical data using statistical methods. * Basic algebra: The ...

Actalent

Cnc Programmer

Madison, WI

$26.75 - $36.50/hr

CNC Programmer The CNC Programmer operates and programs manual and CNC machines to produce high ... Experience with statistical process control (SPC) and other quality control methodologies.

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All JobsStatistical Programmer JobsStatistical Programmer Jobs in Wisconsin

Statistical Programmer information

See Wisconsin salary details

$85.3K

$148.7K

$251.3K

How much do statistical programmer jobs pay per year?

As of May 29, 2026, the average yearly pay for statistical programmer in Wisconsin is $148,669.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,200.00 and $161,500.00 per year, depending on experience, location, and employer.

What Does a Statistical Programmer Do?

A statistical programmer creates statistical programming deliverables. You ensure excellent programming of analysis-ready data, tables, and figures. You may use Stata for general purpose statistical analysis or SPSS for interactive or batched statistical analysis. Your responsibilities include developing standard operating procedures and complying with guidelines. Other duties include remaining informed on developments in programming standards and meeting all regulatory requirements. You also create PROC statements that call upon named procedures for analysis. You develop programs for dataset integration, prepare resource plans, and assist with quality control of datasets.

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

To thrive as a Statistical Programmer, you need a strong background in statistics, data analysis, and programming—typically with a degree in statistics, mathematics, computer science, or a related field. Expertise in statistical software such as SAS, R, or Python and familiarity with data management systems like CDISC or SQL are often required, along with relevant certifications. Strong problem-solving abilities, attention to detail, and clear communication skills help you interpret data accurately and collaborate effectively with cross-functional teams. These skills ensure the delivery of high-quality, reproducible statistical analyses crucial for informed decision-making in research and industry settings.

What are some common challenges faced by Statistical Programmers when working on clinical trial data?

Statistical Programmers often encounter challenges such as managing large, complex datasets, ensuring data integrity, and adhering strictly to regulatory standards (like CDISC SDTM and ADaM). They must also collaborate closely with biostatisticians and data managers to accurately translate statistical analysis plans into code. Tight project timelines and shifting priorities can require strong organizational skills and adaptability. Effective communication and attention to detail are essential for navigating these challenges and delivering reliable results.

What are statistical programmers?

Statistical programmers are professionals who use statistical software and programming languages, such as SAS, R, or Python, to manage, analyze, and report data, often in clinical trials, public health, or research settings. They play a crucial role in transforming raw data into meaningful results by writing code for data cleaning, data manipulation, statistical analysis, and generating reports. Statistical programmers often work closely with statisticians, data managers, and researchers to ensure the accuracy and integrity of data analyses. Their work is essential in industries like pharmaceuticals, healthcare, and academia.

Is SAS a good career choice?

A career as a Statistical Programmer using SAS is in demand in industries such as pharmaceuticals, healthcare, and research, where data analysis and reporting are essential. Proficiency in SAS, along with knowledge of programming and statistical methods, can lead to stable employment and opportunities for advancement.

What is the difference between Statistical Programmer vs Data Analyst?

AspectStatistical ProgrammerData Analyst
Required CredentialsBachelor's in Statistics, Biostatistics, or related field; experience with SAS, R, or PythonBachelor's in Statistics, Data Science, or related field; proficiency in Excel, SQL, and visualization tools
Work EnvironmentPharmaceutical, clinical research, or healthcare industries; focus on programming and data managementVarious industries including finance, marketing, healthcare; focus on data interpretation and reporting
Employer & Industry UsageCommon in clinical trials, biotech, pharma companiesUsed across multiple sectors like finance, retail, and healthcare

While both roles handle data, Statistical Programmers primarily focus on programming and managing clinical or research data, whereas Data Analysts interpret data to generate insights across various industries. The roles often overlap in skills like statistical software proficiency but differ in their core responsibilities and industry focus.

More about Statistical Programmer jobs
What are the most commonly searched types of Statistical Programmer jobs in Wisconsin? The most popular types of Statistical Programmer jobs in Wisconsin are:
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What job categories do people searching Statistical Programmer jobs in Wisconsin look for? The top searched job categories for Statistical Programmer jobs in Wisconsin are:
What cities in Wisconsin are hiring for Statistical Programmer jobs? Cities in Wisconsin with the most Statistical Programmer job openings:
What are popular job titles related to Statistical Programmer jobs in WI? For Statistical Programmer jobs in WI, the most frequently searched job titles are:
Statistical Programmer jobs near you
Infographic showing various Statistical Programmer job openings in Wisconsin as of May 2026, with employment types broken down into 82% Full Time, 9% Part Time, and 9% Contract. Highlights an 75% In-person, 4% Hybrid, and 21% Remote job distribution, with an average salary of $148,669 per year, or $71.5 per hour.
Statistical Analyst - AI Trainer

Statistical Analyst - AI Trainer

DataAnnotation

On-site, Remote

$60/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Join the DataAnnotation team and contribute to developing cutting‐edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real‐world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state‐of‐the‐art AI models on tasks like evaluating AI‐generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full‐time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, up to $60 USD/hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI‐generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data‐driven insights, for technical accuracy and real‐world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well‐documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands‐on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end‐to‐end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time‐series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #J-18808-Ljbffr

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