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Internship Biotech Data Analyst Jobs in Racine, WI

Foley & Lardner LLP

Data Science Engineer

Milwaukee, WI · On-site

$77K - $108K/yr

Provides guidance and best practice advice to data science interns. Qualifications * Bachelor ... Experience with data analysis and reporting * Experience with Dev Ops * Knowledge of SQL and data ...

Foley & Lardner LLP

Data Science Engineer

Milwaukee, WI

$77K - $108K/yr

Provides guidance and best practice advice to data science interns. * Bachelor's Degree required ... Experience with data analysis and reporting * Experience with Dev Ops * Knowledge of SQL and data ...

Foley & Lardner LLP

Data Science Engineer

Milwaukee, WI · On-site

$77K - $108K/yr

Provides guidance and best practice advice to data science interns. Qualifications * Bachelor ... Experience with data analysis and reporting * Experience with Dev Ops * Knowledge of SQL and data ...

Danaher

Software Engineer Internships

Racine, WI

By submitting your interest, you'll be among the first to know when internship opportunities open ... Strong analytical and debugging skills * Comfortable working independently and in cross-functional ...

Danaher

Software Engineer Internships

Kenosha, WI

By submitting your interest, you'll be among the first to know when internship opportunities open ... Strong analytical and debugging skills * Comfortable working independently and in cross-functional ...

Danaher

Software Engineer Internships

Milwaukee, WI

By submitting your interest, you'll be among the first to know when internship opportunities open ... Strong analytical and debugging skills * Comfortable working independently and in cross-functional ...

Actalent

Sr. R&D Food Scientist

Racine, WI

Proficiency with Microsoft Word and Excel for documentation, data analysis, and reporting. Additional Skills & Qualifications * Master's degree or Ph.D. in Food Science, Dairy Science, Biotechnology ...

Kion Group AG

AI Internships

Wauwatosa, WI · On-site

$21 - $25/hr

We offer: Join the Future Talent Program Internship at Dematic and ignite your career with ... including engineering, data engineering, IT, project management, business analysis, and ...

Kiongroup

AI Internships

Wauwatosa, WI

$21 - $25/hr

We offer: Join the Future Talent Program Internship at Dematic and ignite your career with ... including engineering, data engineering, IT, project management, business analysis, and ...

Kiongroup

AI Internships

Wauwatosa, WI

$21 - $25/hr

We offer: Join the Future Talent Program Internship at Dematic and ignite your career with ... including engineering, data engineering, IT, project management, business analysis, and ...

The Home Depot

Junior Data Scientist

Milwaukee, WI · Hybrid

$68K - $93K/yr

Develop and maintain analytics reports and dashboards that surface actionable insights for ... Hands-on experience with Python and/or R - coursework, projects, internships, or personal work all ...

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Internship Biotech Data Analyst information

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

As of Jun 14, 2026, the average hourly pay for internship biotech data analyst in Racine, WI is $21.10, according to ZipRecruiter salary data. Most workers in this role earn between $16.25 and $22.98 per hour, depending on experience, location, and employer.

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 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 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 are popular job titles related to Internship Biotech Data Analyst jobs in Racine, WI? For Internship Biotech Data Analyst jobs in Racine, WI, the most frequently searched job titles are:
What job categories do people searching Internship Biotech Data Analyst jobs in Racine, WI look for? The top searched job categories for Internship Biotech Data Analyst jobs in Racine, WI are:
What cities near Racine, WI are hiring for Internship Biotech Data Analyst jobs? Cities near Racine, WI with the most Internship Biotech Data Analyst job openings:
Internship Biotech Data Analyst jobs near you
Infographic showing various Internship Biotech Data Analyst job openings in Racine, WI as of June 2026, with employment types broken down into 5% Internship, 23% Full Time, 63% Contract, and 9% Nights. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $43,892 per year, or $21.1 per hour.
Data Operations Coordinator- Consulting Division

Data Operations Coordinator- Consulting Division

A.B. Data, Ltd.

Milwaukee, WI

$58K - $68K/yr

Full-time

Posted 9 days ago

Job description

Key Responsibilities

Data Management & Production

  • Process, clean, standardize, and organize donor and campaign data from multiple client and internal systems.
  • Document assumptions, validation steps, and issue resolutions to support repeatable and auditable processes.
  • Perform quality control checks on campaign files, reports, and data outputs, including record counts, field formatting, coding accuracy, and reconciliation against source files.
  • Handle sensitive client and donor data with discretion, following internal data security, privacy, and file transfer procedures.
  • Prepare, document, and transfer data files to and from production vendors, ensuring accuracy and timeliness.
  • Ensure data integrity and troubleshoot discrepancies between client and internal databases.
  • Use tools such as Azure, Fabric, SSMS, Power BI, and Excel to organize, transform, and visualize data.
  • Maintain internal and client reporting templates.

Project Management & Coordination

  • Manage and track data requests and internal team projects, ensuring all deliverables related to data and reporting are met on schedule.
  • Monitor status updates, escalate bottlenecks, and proactively identify process improvements.
  • Work with client services, data operations, and other internal team members to clarify data requests, confirm requirements, and communicate timelines, questions, and risks.
  • Ensure version control and documentation for data processes, reports, and team deliverables.
  • Maintain organized project records and assist with vendor coordination as needed.

Learning & Growth

  • Participate in structured training in data tools (Azure, Fabric, SQL, Power BI), reporting workflows, and campaign data production, as well as direct response marketing principles.
  • Gradually take ownership of data processing and analytical tasks — creating mail files for campaigns, updating weekly reporting, identifying trends, contributing insights, and evaluating test results.
  • Proactively seek opportunities to improve data workflows and streamline production processes.
Qualifications
  • Bachelor’s degree, equivalent coursework, certification, or relevant professional experience in data, analytics, marketing operations, information systems, or a related area.
  • 0–2 years of experience in data operations, marketing operations, analytics, reporting, or a related field; internships, coursework, volunteer work, or project experience will be considered.
  • Proficiency in Excel (pivot tables, formulas, data cleaning) and other Microsoft 365 applications.
  • Interest in learning SQL, data transformation tools, and business intelligence platforms such as Power BI; prior experience is helpful but not required.
  • Strong project management skills — detail-oriented and highly organized, adept at planning and prioritizing multiple projects and deadlines.
  • Comfortable performing recurring, detail-oriented data tasks while looking for opportunities to improve and automate repeatable processes.
  • Strong written and verbal communication skills, including the ability to ask clear questions, document processes, and collaborate with both technical and non-technical colleagues.
  • Able to manage multiple priorities, stay organized, communicate when timelines or requirements are unclear, and meet deadlines with support from the team.

Preferred but Not Required

  • Experience with nonprofit CRMs (e.g., Salesforce NPSP, Raiser’s Edge, EveryAction).
  • Knowledge of direct mail and digital fundraising metrics and integrated multi-channel campaign reporting.

Salary Range: $58,000- $68,000 annually

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