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Internship Biotech Data Analyst Jobs in Park Ridge, IL

Investment Analyst Internship ID: 1995 Graycor Company: Gray Capital Location: Chicago, IL ... Data & Deal Flow Management: Help track deal flow and maintain accurate records in CRM databases ...

Digital Analyst Internships

Chicago, IL · On-site

$101K - $120K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ...

Digital Analyst Internships

Aurora, IL · On-site

$94K - $111K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ...

Sales Analyst Internship - Summer 2027

Waukegan, IL · On-site

$14.25 - $19.25/hr

Sales Analyst Internship Paid Internship - Summer 2027 Corporate Headquarters 12575 Uline Drive ... Build your analytical and SQL skills by transforming sales and business data into meaningful ...

Sales Analyst Internship - Summer 2027

Glenview, IL · On-site

$14.75 - $20/hr

Sales Analyst Internship Paid Internship - Summer 2027 Corporate Headquarters 12575 Uline Drive ... Build your analytical and SQL skills by transforming sales and business data into meaningful ...

... Biotechnology, Biomedical Science, or related life science disciplines who are looking to begin ... As a Research Assistant, you will support laboratory experiments, collect and analyze research data ...

Financial Analyst Internship - Summer 2027

Waukegan, IL · On-site

$16.75 - $22/hr

Financial Analyst Internship Paid Internship - Summer 2027 Corporate Headquarters 12575 Uline Drive ... Review vendor and business data to identify insights and support key initiatives. * Partner with ...

Showing results 21-40

Internship Biotech Data Analyst information

See Park Ridge, IL salary details

$11

$22

$41

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

As of Aug 11, 2026, the average hourly pay for internship biotech data analyst in Park Ridge, IL is $22.14, according to ZipRecruiter salary data. Most workers in this role earn between $17.02 and $24.13 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 Park Ridge, IL? For Internship Biotech Data Analyst jobs in Park Ridge, IL, the most frequently searched job titles are:
What cities near Park Ridge, IL are hiring for Internship Biotech Data Analyst jobs? Cities near Park Ridge, IL with the most Internship Biotech Data Analyst job openings:

Current Master's - Data Science Internship - Summer 2027

Capital One

Chicago, IL

Full-time

Posted 21 days ago


Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

93rd of 171 rated banks


Job description

Current Master's - Data Science Internship - Summer 2027

Key Role Details

  • This is a full-time paid internship program spanning ten weeks from June through August 2027.

  • Participation in the internship requires that you are located in the continental United States with in-person attendance at your assigned location, in accordance with Capital One's hybrid working model, for the duration of the program.

  • Interns will be evaluated for a full-time position with their team and will work with their manager on identifying a start date upon graduation.

This is a paid internship. This is a limited-time internship position, and Capital One will not sponsor a new applicant for employment authorization for this position. However, a full-time Data Science role, for which you may be considered upon completion of the internship (subject to business need, market conditions, and other factors) is eligible for employer immigration sponsorship.

Basic Qualifications

  • Currently pursuing one of the following with an expectation that the required degree will be obtained by August 2028 or earlier:

    • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration

  • Must be continuing in the same course of study of your Master's degree following completion of the internship

  • At least 6 months of experience or academic work using open source programming languages for data analysis

  • At least 6 months of experience or academic work using machine learning techniques

Preferred Qualifications:

  • Direct experience with either Python, R or SQL

  • Experience or academic work in inferential statistics

  • Experience or academic work with relational databases

  • Experience or academic work with large scale data analysis

Data Science Internship - 2027

As a Data Scientist at Capital One, you'll be part of a high-performing team that's embracing the latest in computing technologies to unlock opportunities that help everyday people save money and improve their financial lives. You'll help our customers solve their financial services challenges by using groundbreaking techniques. You'll make valuable contributions from day one by continuously learning, engaging in diverse sets of experiences, and building close-knit relationships across the company. Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise.

On any given day, you might:

  • Evaluate open-source and internally-developed modeling and analytics tools using real business data

  • Integrate internal data with external data sources and APIs to discover and implement actionable insights

  • Design and craft data science models to communicate solutions to customers and company leadership

We'd love to find someone who is...

  • Intellectually curious. You ask why, you explore, and you are excited to imagine and create new ideas by inventing self-adaptive models or by tapping into unstructured data sources. You love mining data for insights into behaviors, intent and sentiment.

  • A builder. You are passionate about delivering better experiences and better products to our customers and have a deep sense of ownership for your craft.

  • An experimental scientist. You love putting on your lab coat and trying new things, new combinations of tools, techniques and feature engineering approaches even if you sometimes fail.

  • A Communicator. You seek to connect with teammates and business partners to share technical ideas that resonate with audience needs across verbal and written channels.

Are you ready to join a community of talented individuals who embrace customer problems and use their passion and capabilities to make a difference every single day? If you're interested in a long-term career at Capital One, the Data Science internship could be a great way to begin your career journey!

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Cambridge, MA: $147,000 - $147,000 for Data Science Intern


Chicago, IL: $134,000 - $134,000 for Data Science Intern


McLean, VA: $147,000 - $147,000 for Data Science Intern


New York, NY: $161,000 - $161,000 for Data Science Intern


Plano, TX: $134,000 - $134,000 for Data Science Intern


Richmond, VA: $134,000 - $134,000 for Data Science Intern


San Francisco, CA: $161,000 - $161,000 for Data Science Intern


San Jose, CA: $161,000 - $161,000 for Data Science Intern




Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).


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