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Internship Remote Statistical Programmer Jobs in Wisconsin

Remote (WI or MN based candidates preferred) REPORTS TO: Quality Systems Manager DEPARTMENT ... Analyze defect trends using tools like AI, machine learning, and statistical modeling to catch ...

Remote (WI or MN based candidates preferred) REPORTS TO: Quality Systems Manager DEPARTMENT ... Analyze defect trends using tools like AI, machine learning, and statistical modeling to catch ...

Beef Geneticist

De Forest, WI · On-site +1

$75K - $104K/yr

... statistical methodologies. As part of a highly technical and collaborative team, you will work with ... This position is based in DeForest, Wisconsin, with remote work options available for qualified ...

Consistently ranked by Engineering News Record in the top 150 firms, we offer a values-based ... Flexible work from home options available. #LI-Remote All Foth Companies are equal opportunity ...

Consistently ranked by Engineering News Record in the top 150 firms, we offer a values-based ... Flexible work from home options available. #LI-Remote All Foth Companies are equal opportunity ...

Consistently ranked by Engineering News Record in the top 150 firms, we offer a values-based ... Flexible work from home options available. #LI-Remote All Foth Companies are equal opportunity ...

Senior Researcher

Madison, WI · On-site +1

$75K - $105K/yr

Experience cleaning and analyzing data sets using a statistical or general programming language (e ... Fully remote position with the ability to work from home or another suitable location with reliable ...

Business Data Analyst

Milwaukee, WI · On-site +1

$55K - $120K/yr

... fully remote arrangements for the ideal candidate. Responsibilities: * Elicit, analyze, and ... Partner with developers and data engineers to ensure delivered solutions meet documented ...

Showing results 41-54

Internship Remote Statistical Programmer information

What is a remote statistical programmer internship?

A remote statistical programmer internship is a temporary, entry-level position in which interns work from a remote location to assist with data analysis and statistical programming tasks. Interns typically use programming languages such as SAS, R, or Python to manage and analyze data, often within industries like pharmaceuticals, healthcare, or finance. The role provides hands-on experience with real datasets, supports the work of experienced statisticians or data scientists, and helps interns develop valuable technical and analytical skills. Remote internships allow for flexibility in location and often require strong communication and self-motivation skills.

What types of projects and responsibilities can I expect as a remote statistical programmer intern?

As a remote statistical programming intern, you'll typically assist with data cleaning, analysis, and reporting tasks under the guidance of senior programmers and biostatisticians. You'll often use software like SAS or R to process clinical trial or research data, create summary tables, and support the preparation of statistical deliverables. Collaboration is usually virtual, involving regular meetings, code reviews, and shared documentation. This role provides an opportunity to build foundational programming skills while contributing to real-world research projects, and you'll gain exposure to industry standards in data management and statistical analysis.

What are the key skills and qualifications needed to thrive as an internship remote statistical programmer?

To thrive as an Internship Remote Statistical Programmer, you need a solid background in statistics, programming (especially in SAS, R, or Python), and data analysis, often supported by coursework in statistics or computer science. Familiarity with statistical software, data management systems, and tools like SAS or RStudio is typically required. Attention to detail, problem-solving abilities, and effective remote communication skills help interns stand out in both independent and collaborative tasks. These skills and qualities are crucial for delivering accurate analyses, meeting deadlines, and contributing effectively to data-driven projects in a remote environment.

What is the difference between Internship Remote Statistical Programmer vs Remote Data Analyst?

AspectInternship Remote Statistical ProgrammerRemote Data Analyst
Required CredentialsTypically pursuing or recent graduate in biostatistics, statistics, or related fieldOften degree in statistics, data science, or related field; may have certifications in data analysis tools
Work EnvironmentRemote internship, often part-time, supervised by senior statisticiansRemote or hybrid, full-time or part-time, with focus on data interpretation and reporting
Industry UsageCommon in pharmaceutical, biotech, and clinical research companiesUsed across various industries including healthcare, finance, and marketing

The main difference is that an Internship Remote Statistical Programmer is typically an entry-level, supervised role focused on programming tasks in clinical research, while a Remote Data Analyst often handles broader data analysis responsibilities across industries. Internships are usually temporary and aimed at gaining experience, whereas Data Analysts may have more independent responsibilities.

What are popular job titles related to Internship Remote Statistical Programmer jobs in Wisconsin?

For Internship Remote Statistical Programmer jobs in Wisconsin, the most frequently searched job titles are:

What cities in Wisconsin are hiring for Internship Remote Statistical Programmer jobs?

Cities in Wisconsin with the most Internship Remote Statistical Programmer job openings:

Infographic showing various Internship Remote Statistical Programmer job openings in Wisconsin as of June 2026, with employment types broken down into 64% Full Time, 30% Part Time, and 6% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution.

Quality Data Analyst

Good Culture

La Crosse, WI • On-site, Remote

Full-time

Re-posted 5 days ago


Job description

QUALITY DATA ANALYST
LOCATION: Remote (WI or MN based candidates preferred)
REPORTS TO: Quality Systems Manager
DEPARTMENT: Quality
TRAVEL REQUIREMENT: 5-15%
JOB PURPOSE SUMMARY:
Good Culture is on a mission to zero defects - and we need a curious, data-driven thinker to help get us there. As our Quality Data Analyst, you'll sit at the intersection of food safety, analytics, and artificial intelligence, turning raw production data into insights that protect our brand and make every cup of cottage cheese better than the last.
You'll work closely with our co-manufacturing partners, Operations, Product Development, and FSQA Leadership - serving as the analytical engine behind our Quality Systems Pillar. If you love digging into data, experimenting with AI tools, and solving real-world problems in a fast-moving, purpose-driven company, this role was built for you.
ESSENTIAL JOB RESPONSIBILITIES:
  • Bridge quality and data: translate quality insights into a continuous, data-driven improvement process that the whole team can act on.
  • Analyze defect trends using tools like AI, machine learning, and statistical modeling to catch issues early and strengthen our processes.
  • Monitor production data to ensure compliance with critical factors, specifications, and regulatory standards.
  • Own recurring reporting for leadership, operations, procurement, finance, and executive review.
  • Be the connective tissue for FSQA meetings - setting agendas, communicating progress, and keeping stakeholders aligned.
  • Track supplier performance and help build and maintain our supplier scorecard.
  • Support audits and quality documentation management.
  • Contribute to the development and implementation of food safety and quality programs.
  • Develop deep expertise in cottage cheese production and quality so you can anticipate problems before they happen.
  • Help protect and grow one of the most unique brands in food - because Good Makes Good.
  • Have fun and make a difference.

JOB QUALIFICATIONS:
  • B.S. in Food Science, Biology, Chemistry, Computer Science, Business, Statistics, or a related field.
  • Sharp critical thinking skills - you can validate information, spot bad data, and apply sound judgment when working with AI-generated outputs.
  • Strong verbal and written communication skills; comfortable presenting to leadership and building relationships with co-manufacturing partners.
  • Ability to work independently and know when to loop others in.
  • Proficiency in Excel, Word, and PowerPoint.
  • Great attitude, desire to build something great, and love of cottage cheese.

Preferred:
  • 0-2 years of experience in tech services, food safety, or quality assurance.
  • Experience with Python, LLMs, command-line tools, or APIs.
  • Familiarity with AI workflows - Projects, Artifacts, agentic tools, and prompt engineering.
  • Food industry or co-manufacturing experience.
  • Certifications such as HACCP, PCQI, or SQF Practitioner.
  • Statistical knowledge and experience applying it to process improvement

ABOUT GOOD CULTURE:
We believe that if you eat good things, and surround yourself with good, you'll feel good. Simple as that. That's why we decided to create a food company that offers real organic ingredients from trusted sources, promotes good health and tastes great. Our mission is to reinvent the food system, from the (actual) ground up. We are a cultured dairy company that currently makes pasture-raised cottage cheese, rich probiotic sour cream, cream cheese and probiotic milk. We're looking for some cultured healers!
Good Culture is an equal opportunity employer. At Good Culture we also believe a great culture fosters and values a diverse, equitable, and inclusive workforce. We seek individuals of all backgrounds and experiences to apply for this position. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Good Culture is committed to creating an inclusive environment for all employees.