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Internship Biotech Data Analyst Jobs in Appleton, WI

US Venture, Inc.

Data Science Intern

Appleton, WI · On-site

S. Venture Data and Analytics team as a Data Science Intern for Summer 2027! U.S. Venture's Internship Program runs May - August 2027. Dates may vary based on individual class schedules. This ...

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Internship Biotech Data Analyst information

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$11

$21

$41

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

As of Sep 3, 2026, the average hourly pay for internship biotech data analyst in Appleton, WI is $21.96, according to ZipRecruiter salary data. Most workers in this role earn between $16.88 and $23.94 per hour, depending on experience, location, and employer.

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 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 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 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.

Can a biotechnology student become a data analyst?

Yes, a biotechnology student can become a data analyst by developing skills in data management, statistical analysis, and tools like Excel, SQL, or Python. Gaining knowledge of data visualization and relevant industry applications can also improve job prospects in biotech data analysis roles.

How do I get an internship at a biotech data analyst?

To secure an internship as a biotech data analyst, candidates should have a strong background in biology, data analysis, and programming languages like Python or R. Gaining experience through relevant coursework, certifications, or projects, and applying to internships via company websites or job portals, can improve chances. Strong analytical skills and familiarity with biotech databases and tools are also beneficial.

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Internship Biotech Data Analyst jobs near you

Data Analyst Intern - U.S. AutoForce

US Venture, Inc.

Appleton, WI • On-site

Full-time

Re-posted 6 days ago

Key responsibilities

  • Interpret data, analyze results using statistical techniques, and provide ongoing reports.

  • Acquire data from primary or secondary sources and maintain databases/data systems.

  • Use tools like Power BI to visualize data and create insightful reports.

U.S. Venture rating

8.2

Company rating: 8.2 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

92nd of 428 rated retail wholesalers

Job description

POSITION SUMMARY
We are seeking a Business Intelligence Analyst Intern for our Summer 2027 Internship Program. This intern will support our U.S. AutoForce division's finance team.
U.S. Venture's Internship Program runs May - August. Dates may vary based on individual class schedules. This position is located at our Corporate Office in Appleton, WI.
JOB RESPONSIBILITIES
  • Interpret data, analyze results using statistical techniques and provide ongoing reports

  • Acquire data from primary or secondary data sources and maintain databases/data systems

  • Filter and "clean" data by reviewing computer reports, printouts, and performance indicators to locate and correct problems

  • Use tools like Power BI to visualize data to create insightful reporting

  • Work with management to prioritize business and information needs

  • Locate and define new process improvement opportunities

QUALIFICATIONS
  • Current student pursuing a Bachelor's in Data Science, Statistics, Computer Science or related field.
  • Junior or Senior status preferred.
  • Experience with reporting packages (Tableau, Microsoft Power BI), databases, and programming (SQL, R, Python, SAS, SPSS)
  • Knowledge of statistics and experience using statistical packages for analyzing datasets
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Ability to write queries, generate reports, and present findings
  • Strong communication and facilitation skills
  • Good planning and organizing skills

DIVISION:
U.S. AutoForce
U.S. Venture will not offer sponsorship for employment status (including, but not limited to, H-1B, TN, E-3, F1, CPT, OPT, STEM OPT, visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require U.S. Venture's sponsorship to continue to work legally in the United States. In general, U.S. Venture does not sponsor candidates for nonimmigrant visas or permanent residency except when there is a specific business need.
U.S. Venture will not accept unsolicited resumes from recruiters or employment agencies. In the absence of an executed recruitment Master Service Agreement, there will be no obligation to any referral compensation or recruiter fee. In the event a recruiter or agency submits a resume or candidate without an agreement, U.S. Venture shall reserve the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted to hiring managers, shall be deemed the property of U.S. Venture.
U.S. Venture, Inc. is an equal opportunity employer that is committed to inclusion and diversity. We ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender, gender identity or expression, marital status, age, national origin, disability, veteran status, genetic information, or other protected characteristic. If you need assistance or an accommodation due to a disability, you may call Human Resources at (920) 739-6101.
40-40-810-8008

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