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Internship Biotech Data Analyst Jobs in Sun Prairie, WI

Everlight Solar

Athletic Leadership Internship

Madison, WI · On-site

$60K - $150K/yr

The Everlight Solar Athletic Leadership Internship highlights what makes great leaders great...and ... as market analysis, KPI reporting, technology trends and interpreting gathered data to make ...

Everlight Solar

Sales Psychology Internship

Madison, WI · On-site

$60K - $150K/yr

The Everlight Solar Sales Psychology Internship teaches the most fundamental aspects of modern ... as market analysis, KPI reporting, technology trends and interpreting gathered data to make ...

Everlight Solar

Sales Psychology Internship

Madison, WI · On-site

$60K - $150K/yr

The Everlight Solar Sales Psychology Internship teaches the most fundamental aspects of modern ... as market analysis, KPI reporting, technology trends and interpreting gathered data to make ...

Wisconsin

Administrative Director

Madison, WI · On-site

... Basic Research, Biotechnology, and Graduate Studies. This role serves as a key partner and ... Strong analytical and investigative skills, with experience conducting data-driven analyses to ...

SVA

Accounting Intern (Spring 2027)

Madison, WI · On-site

$15.75 - $19.75/hr

... analyzing data, preparing financial reports, and a variety of accounting activities and responsibilities. Work performed is similar to the activities of an entry-level staff accountant, and interns ...

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Internship Biotech Data Analyst information

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$11

$21

$40

How much do internship biotech data analyst jobs pay per hour?

As of May 28, 2026, the average hourly pay for internship biotech data analyst in Sun Prairie, WI is $21.90, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $23.85 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Biotech Data Analyst, and why are they important?

To thrive as an Internship Biotech Data Analyst, you need a foundation in biology or biotechnology, statistical analysis, and data interpretation, typically gained through coursework or relevant internships. Familiarity with data analysis tools such as Python, R, Excel, and experience with bioinformatics databases or platforms like BLAST is highly beneficial. Strong attention to detail, problem-solving abilities, and effective communication skills make candidates stand out in this role. These competencies are crucial for accurately analyzing complex biological data, supporting research projects, and conveying findings to multidisciplinary teams.

What types of projects or data sets might I work with as an Internship Biotech Data Analyst?

As an Internship Biotech Data Analyst, you can expect to work with real-world biological or clinical data, such as genomic sequences, protein structures, or patient trial results. Projects often involve cleaning, analyzing, and visualizing these datasets to support research or product development. You'll likely collaborate closely with scientists, senior analysts, and sometimes software engineers to interpret findings and present actionable insights. This hands-on experience not only strengthens your technical skills but also helps you understand how data analysis drives innovation in the biotech industry.

What does an Internship Biotech Data Analyst do?

An Internship Biotech Data Analyst supports research and development teams in biotechnology companies by collecting, processing, and analyzing complex biological data. They use statistical tools and software to interpret experimental results, identify trends, and help drive decision-making in projects such as drug discovery, genomics, or clinical trials. Interns often work alongside experienced data analysts and scientists, gaining hands-on experience with real-world datasets and contributing to ongoing research efforts.

What is the difference between Internship Biotech Data Analyst vs Biotech Data Scientist?

AspectInternship Biotech Data AnalystBiotech Data Scientist
Required CredentialsEnrolled in or recent graduate of related degree (e.g., biology, bioinformatics, data analysis)Advanced degree (Master's or PhD) in data science, bioinformatics, or related fields
Work EnvironmentInternship setting in biotech or pharmaceutical companies, labs, or research institutionsFull-time role in biotech firms, research centers, or biotech startups
Employer & Industry UsageUsed for entry-level training, skill development, and gaining industry experienceUsed for advanced data analysis, modeling, and research projects

The Internship Biotech Data Analyst is an entry-level position focused on gaining practical experience in biotech data analysis, often requiring relevant coursework or a recent degree. In contrast, a Biotech Data Scientist typically holds advanced degrees and performs complex data modeling and research tasks. The internship provides foundational skills, while the data scientist role involves more specialized expertise and responsibilities.

What are popular job titles related to Internship Biotech Data Analyst jobs in Sun Prairie, WI? For Internship Biotech Data Analyst jobs in Sun Prairie, WI, the most frequently searched job titles are:
What job categories do people searching Internship Biotech Data Analyst jobs in Sun Prairie, WI look for? The top searched job categories for Internship Biotech Data Analyst jobs in Sun Prairie, WI are:
What cities near Sun Prairie, WI are hiring for Internship Biotech Data Analyst jobs? Cities near Sun Prairie, WI with the most Internship Biotech Data Analyst job openings:
Internship Biotech Data Analyst jobs near you
Associate Actuarial Analyst - Predictive Modeling (Hybrid)

Associate Actuarial Analyst - Predictive Modeling (Hybrid)

American Family Mutual Insurance Company

Madison, WI • Hybrid

$62K - $103K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago

Job description

We're seeking an Associate Actuarial Analyst to join our Property & Casualty Actuarial team to develop analytics and predictive modeling solutions that inform business decisions. You'll partner with actuarial and data/analytics colleagues to explore data, perform actuarial analyses, and help build and refine statistical and machine learning models supporting pricing, reserving, and other objectives. You'll expand your Python-based analytics skills and strengthen your ability to translate results into clear business insights.
#LI-Hybrid
Role NOT eligible for sponsorship.
Position Compensation Range:
$62,000.00 - $103,000.00
Pay Rate Type:
Salary
Compensation may vary based on the job level and your geographic work location. Relocation support is offered for eligible candidates.
Primary Accountabilities

  • Support pricing, reserving, and product analytics projects under guidance of senior actuaries/modelers.
  • Extract, validate, and prepare internal data; perform QA and document assumptions/limitations.
  • Conduct exploratory analyses to identify trends, relationships, and insights.
  • Assist with predictive modeling (GLM/GBM): feature development, testing, refinement, and performance monitoring.
  • Build repeatable workflows for data prep, modeling, and validation using Python and/or actuarial tools.
  • Create documentation and summary deliverables to support governance and knowledge sharing.
  • Communicate findings clearly to business partners; escalate risks/questions as needed.
  • Apply industry best practices and internal modeling standards.
  • Contribute to additional projects based on business needs and development goals.
Specialized Knowledge & Skills Requirements
  • Demonstrated experience providing customer-driven solutions, support, or service.
  • Basic knowledge and understanding of property and casualty products, pricing, rates and industry trends.
  • Basic knowledge and understanding of underwriting guidelines and concepts, pricing, ratemaking, loss reserving, modeling or reinsurance depending upon area of specialty.
  • Demonstrated experience performing statistical/actuarial analysis and data forecasting and modeling techniques.
  • Basic knowledge and understanding of forecasting and statistical analysis and modeling.
  • Pursuing Associate or Fellow in Casualty Actuary Society (ACAS or FCAS).
Preferred Qualifications:
  • Working knowledge of Python (preferred) or another programming language.
  • Familiarity with common data tools (e.g., SQL, spreadsheets, database tools) and the ability to learn internal systems quickly.
  • Ability to communicate technical findings to non-technical audiences with guidance and feedback.
Licenses
  • Not applicable.
Travel Requirements
  • Up to 10%.
Physical Requirements
  • Work that primarily involves sitting/standing.
Working Conditions
  • Not applicable.
Additional Information
  • To ensure a strong start, all employees participate in our New Employee Orientation during their first week. This experience is held in person at our Madison, WI Headquarters or one of our AmFam core locations to help you connect with our mission, meet key team members and build relationships that support your growth. At times, sessions may be delivered virtually based on scheduling and availability.
  • Offer to selected candidate will be made contingent on the results of applicable background checks
  • Offer to selected candidate is contingent on signing a non-disclosure agreement for proprietary information, trade secrets, and inventions
  • Sponsorship will not be considered for this position unless specified in the posting

In this hybrid role you will be expected to work a minimum of 10 days per month out of either our Madison, WI or Boston, MA offices.
We provide benefits that support your physical, emotional, and financial wellbeing. You will have access to comprehensive medical, dental, vision and wellbeing benefits that enable you to take care of your health. We also offer a competitive 401(k) contribution, a pension plan, an annual incentive, 9 paid holidays and a paid time off program (23 days accrued annually for full-time employees). In addition, our student loan repayment program and paid-family leave are available to support our employees and their families. Interns and contingent workers are not eligible for American Family Insurance Group benefits.
We are an equal opportunity employer. It is our policy to comply with all applicable federal, state and local laws pertaining to non-discrimination, non-harassment and equal opportunity. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.
American Family Insurance is committed to the full inclusion of all qualified individuals. If a reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please email AskHR@AmFam.com to request a reasonable accommodation.

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