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Internship Biotech Data Analyst Jobs in Chicago, IL

Benda Infotech

Data Analyst

Chicago, IL

$75K - $95K/yr

Internship or academic project experience in data analysis or business intelligence. * Experience creating dashboards and executive reports. * Knowledge of KPIs, business metrics, and reporting ...

Unlock Health

Creative Data Analyst

Chicago, IL · On-site +1

Experience presenting data or project findings (in classrooms, internships, or past roles) with ... Strong analytical skills paired with an appetite for solving puzzles, questioning data anomalies ...

Unlock Health

Creative Data Analyst

Chicago, IL · On-site

Experience presenting data or project findings (in classrooms, internships, or past roles) with clarity and enthusiasm; you are eager to step into a client-facing spotlight. * Strong analytical ...

CNH Industrial N.V.

Purchasing Data Analyst

Oak Brook, IL · On-site

$19.57 - $27.81/hr

Our internship and co-op programs provide mentorship, training, hands-on experience, and growth ... The business intelligence team helps further this mission through data analytics, tool building ...

Morningstar, Inc.

Investment Data Analyst

Chicago, IL · On-site

$59K - $87K/yr

Analyze and identify data opportunities through issues and queries. * Review procedures and work ... Minimum two years of work experience (full time or internship) in the financial service industry

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All JobsBiotech Data Analyst JobsInternship Biotech Data Analyst JobsInternship Biotech Data Analyst Jobs in Chicago, IL

Internship Biotech Data Analyst information

See Chicago, IL salary details

$12

$23

$43

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

As of Sep 8, 2026, the average hourly pay for internship biotech data analyst in Chicago, IL is $23.18, according to ZipRecruiter salary data. Most workers in this role earn between $17.84 and $25.24 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.

What are the most commonly searched types of Biotech Data Analyst jobs in Chicago, IL?

The most popular types of Biotech Data Analyst jobs in Chicago, IL are:

What are popular job titles related to Internship Biotech Data Analyst jobs in Chicago, IL?

For Internship Biotech Data Analyst jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Internship Biotech Data Analyst jobs in Chicago, IL look for?

The top searched job categories for Internship Biotech Data Analyst jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Internship Biotech Data Analyst jobs?

Cities near Chicago, IL 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 Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $48,220 per year, or $23.2 per hour.

Data Analyst

Benda Infotech

Chicago, IL

$75K - $95K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 28 days ago

Key responsibilities

  • Collect, clean, validate, and analyze large datasets from multiple sources.

  • Develop interactive dashboards and reports using BI tools such as Power BI or Tableau.

  • Write SQL queries to extract, manipulate, and analyze data.

Job description

Role Summary

We are seeking a detail-oriented and analytical Data Analyst to join our growing team. The ideal candidate will transform complex data into meaningful insights that support strategic business decisions and improve operational performance. You will work closely with business stakeholders, product teams, and technical teams to analyze data, build dashboards, identify trends, and deliver actionable recommendations.

This is an excellent opportunity for recent graduates and early-career professionals who are passionate about data analytics, business intelligence, and data-driven decision-making.

Key Responsibilities
  • Collect, clean, validate, and analyze large datasets from multiple sources.
  • Develop interactive dashboards and reports using Power BI, Tableau, or similar BI tools.
  • Write efficient SQL queries to extract, manipulate, and analyze data.
  • Perform exploratory data analysis to identify trends, patterns, and business opportunities.
  • Create visualizations that communicate insights to both technical and non-technical stakeholders.
  • Collaborate with cross-functional teams to understand business requirements and deliver analytical solutions.
  • Monitor key performance indicators (KPIs) and prepare recurring business reports.
  • Ensure data accuracy, consistency, and integrity across reporting systems.
  • Automate recurring reports and improve existing reporting processes.
  • Document data models, business rules, and analytical methodologies.
  • Support ad hoc analysis and provide recommendations based on business needs.
Qualifications & Requirements Minimum Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Data Science, Statistics, Mathematics, Business Analytics, Information Systems, Economics, or a related field.
  • 0–2 years of experience in Data Analytics, Business Intelligence, or Reporting (Recent Graduates are encouraged to apply).
  • Strong analytical and problem-solving skills.
  • Excellent communication and presentation skills.
  • Ability to work independently and collaboratively in a fast-paced environment.
Preferred Qualifications
  • Internship or academic project experience in data analysis or business intelligence.
  • Experience creating dashboards and executive reports.
  • Knowledge of KPIs, business metrics, and reporting frameworks.
  • Familiarity with Agile methodologies and project collaboration tools.
  • Exposure to cloud data platforms such as AWS, Azure, or Google Cloud is a plus.
  • Experience working with structured and unstructured datasets is an advantage.
Soft Skills
  • Critical Thinking
  • Analytical Mindset
  • Problem Solving
  • Attention to Detail
  • Communication Skills
  • Time Management
  • Team Collaboration
  • Adaptability
  • Curiosity and Continuous Learning
What We Offer
  • Competitive salary and comprehensive benefits package
  • Annual performance bonus eligibility
  • Medical, dental, and vision insurance
  • Paid holidays and generous paid time off
  • Retirement savings plan with employer contributions
  • Professional development and certification support
  • Mentorship from experienced data professionals
  • Exposure to enterprise-level analytics and business intelligence projects
  • Collaborative and innovative work environment
  • Career growth opportunities