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Internship Biotech Data Analyst Jobs in Plainfield, IL

Chicago Public Schools

Data Analyst, OSD

Chicago, IL · On-site

Data Analyst Chicago Public Schools (CPS) is a district on the rise, serving over 325,000 students ... Up to 1 year of full-time, data-related internship experience may be considered against this ...

Chicago Public Schools

Data Analyst, OSD

Chicago, IL · On-site

The Data Analyst will be held accountable for the following responsibilities: * Proficiently ... Up to 1 year of full-time, data-related internship experience may be considered against this ...

Segal

Health Benefits Data Analyst

Chicago, IL · Remote

$62.50K - $75K/yr

The Health Benefits Data Analyst is a key contributor within a fast-growing segment of Segal ... Previous internships and general industry knowledge are a plus. * Knowledge of providers, products ...

Segal

Health Benefits Data Analyst

Chicago, IL · On-site

$62.50K - $75K/yr

The Health Benefits Data Analyst is a key contributor within a fast-growing segment of Segal ... Previous internships and general industry knowledge are a plus. * Knowledge of providers, products ...

AEG Presents

Data Analyst Intern

Chicago, IL · On-site

$16.60/hr

Our internship program provides the opportunity to work on meaningful football initiatives that will improve the capabilities of the Football Analytics department. The Data Analyst intern will be ...

Chicago Trading Company

Market Data Analyst

Chicago, IL · Hybrid

$90K - $120K/yr

Market Data Analyst Chicago, Illinois, United States Chicago Trading Company (CTC) is a premier ... Disclaimer: interns and contractors are not eligible for benefits at CTC) Our Commitment to ...

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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 May 27, 2026, the average hourly pay for internship biotech data analyst in Plainfield, IL is $21.94, according to ZipRecruiter salary data. Most workers in this role earn between $16.88 and $23.89 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.

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Internship Biotech Data Analyst jobs near you
Data Analyst Internship (Revenue Cycle & Analytics)

Data Analyst Internship (Revenue Cycle & Analytics)

Mobile Anesthesiologists

Chicago, IL • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Data Analyst Internship (Revenue Cycle & Analytics)

Chicago, Illinois, United States

About AAC

Ambulatory Anesthesia Care (AAC) is a national leader in office-based anesthesia services. We partner with practices across the country to deliver safe, efficient, and patient-centered care outside the hospital setting. As we continue to grow, we are investing in data, analytics, and operational excellence to support smarter, faster decision-making.

About the Role

We're looking for a Data Analyst Intern to support key initiatives across revenue cycle operations, reporting, and analytics.

This is a hands-on opportunity to work with real healthcare data — including billing, payer performance, and operational KPIs — while partnering directly with leadership on active financial and operational initiatives.

If you enjoy working with data, building dashboards, and uncovering insights that drive decisions, this role is for you.

What You'll Do
  • Analyze revenue cycle, billing, and operational data across multiple markets
  • Build and maintain dashboards (Power BI or similar tools)
  • Support reporting on claims activity, payer performance, and reimbursement trends
  • Clean, validate, and organize datasets (Excel, CSV, internal systems)
  • Identify trends, gaps, and opportunities within revenue cycle performance
  • Support key initiatives (e.g., RN billing pilots, payer analysis, operational reporting)
  • Partner cross-functionally with revenue cycle, credentialing, and operations teams
  • Assist with ad hoc reporting and analytics projects
What We're Looking For
  • Currently pursuing a degree in Data Analytics, Business Analytics, Finance, Healthcare Administration, or related field
  • Strong Excel skills (pivot tables, formulas, data manipulation)
  • Experience with Power BI or other reporting tools preferred
  • Basic knowledge of SQL is a plus
  • Strong analytical and problem-solving skills
  • High attention to detail and data accuracy
  • Ability to manage multiple priorities and meet deadlines
  • Strong communication skills (able to translate data into insights)
What You'll Gain
  • Hands-on experience with real healthcare and financial data
  • Exposure to revenue cycle operations and payer strategy
  • Experience building dashboards and reporting tools
  • Direct mentorship and feedback from leadership
  • A portfolio of real analytics projects (dashboards, reports, models)
Program Details
  • 15–20 hours per week (flexible schedule)
  • 10–12 week internship (potential to extend)
  • Unpaid internship (academic credit encouraged)
  • Weekly mentorship and feedback sessions
Equal Opportunity Employer

AAC is an Equal Opportunity Employer committed to diversity and inclusion.

Apply