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Internship Biotech Data Analyst Jobs in Addison, IL

We offer internships with a variety of work arrangements from onsite interns to fully remote in US ... This data-driven role involves collecting, analyzing, and interpreting sustainability data related ...

We offer internships with a variety of work arrangements from onsite interns to fully remote in US ... This data-driven role involves collecting, analyzing, and interpreting sustainability data related ...

We offer internships with a variety of work arrangements from onsite interns to fully remote in US ... This data-driven role involves collecting, analyzing, and interpreting sustainability data related ...

Showing results 21-40

Internship Biotech Data Analyst information

See Addison, IL salary details

$12

$22

$42

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

As of Sep 6, 2026, the average hourly pay for internship biotech data analyst in Addison, IL is $22.55, according to ZipRecruiter salary data. Most workers in this role earn between $17.36 and $24.57 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 Addison, IL?

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

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

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

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

Cities near Addison, IL with the most Internship Biotech Data Analyst job openings:

2027 Data & AI Program - Summer Internship - Analyst - United States

JPMorgan Chase & Co

Chicago, IL • On-site

Full-time

Re-posted 3 days ago


JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

78th of 175 rated banks


Job description

In the Data & AI Program at JPMorganChase, you'll drive impact by building end-to-end data, analytics, and artificial intelligence and machine learning solutions that translate business objectives into measurable outcomes for clients and customers. Working alongside global experts in agile teams, you will design scalable data platforms and pipelines, develop production-ready models, create intuitive dashboards, and ensure strong data governance, privacy, and compliance. 
Leveraging modern tools (e.g., AWS, CoPilot, Snowflake, DataBricks, LLM), you will integrate diverse datasets, run experiments tied to key performance indicators, and deliver actionable insights. This program provides hands-on experience, mentorship, and training in a collaborative, innovation-focused environment-positioning you to contribute to high-impact initiatives across the firm while building a strong foundation in Data & AI.

ABOUT THE PROGRAM

As a Summer Analyst in the Data & AI Program at JPMorganChase, you will help drive transformation by combining your technical skills, business context, and modern tools to deliver real-world impact for our clients and customers. 

You will collaborate with global experts to develop end-to-end data and AI solutions and contribute to positive change for the diverse communities we serve. You will receive mentorship, training, and support as you build your career in a culture where we value your ideas and help you grow.

We will be filling our classes on a rolling basis. We strongly encourage you to submit your application as early as possible before job postings close. 

Job Responsibilities

  • Build intelligent systems that power real business outcomes, from machine learning models to generative artificial intelligence and agent-based solutions.

  • Work hands-on with cutting-edge technologies to design, develop, and deploy artificial intelligence capabilities that automate processes and enhance decision-making.

  • Apply data, statistics, and modeling to solve complex problems and generate actionable insights.

  • Develop predictive models, test hypotheses, and analyze trends to help teams make smarter, data-driven decisions.

  • Support data governance, risk management, and data standards to help ensure data is secure, trusted, and ready for artificial intelligence use.
  • Implement controls, improve data quality, and enable frameworks and structures that make solutions safe, scalable, and effective
  • Collaborate in agile teams and contribute ideas from day one in a culture that supports your growth and impact.

  • Learn through mentorship and training while building a strong foundation in data, analytics, and artificial intelligence.

REQUIRED QUALIFICATIONS, CAPABILITIES AND SKILLS

  • Pursuing a Bachelor's or Master's degree in a quantitative or technical discipline (e.g., Data Science, Machine Learning, Computer Science, or Mathematics).
  • Graduating between December 2027 and August 2028.
  • Authorized to work permanently in the United States.
  • Meeting the role requirement that no prior work experience is needed.
  • No prior work experience is required.

PREFERRED QUALIFICATIONS, CAPABILITIES, AND SKILLS

  • Demonstrates strong knowledge of machine learning, data science principles, including prompt engineering, with experience handling large, complex datasets.
  • Use programming languages such as SQL and Python.
  • Use data & artificial intelligence tools (e.g., AWS, CoPilot, Snowflake, DataBricks, LLM).
  • Understand data management and governance, including data platforms, pipelines, models, taxonomies, metadata, lineage, privacy, and regulatory compliance.
  • Apply strong quantitative and analytical problem-solving skills to design experiments and deliver measurable outcomes (e.g., key performance indicators, uplift, return on investment).
  • Communicate clearly in writing and verbally to translate technical work for business stakeholders and collaborate across agile, cross-functional teams.
  • Translate business objectives into testable hypotheses and analytical plans, develops models and experiments, and communicates actionable recommendations to stakeholders.

This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase's review of criminal conviction history, including pretrial diversions or program entries.  

Locations you may join:

  • New York Metro
  • Columbus, OH
  • Chicago, IL
  • Delaware Metro
  • Plano, TX
  • Palo Alto, CA

ABOUT US

At JPMorganChase, Data & AI sits at the core of how we operate, innovate, and serve our clients. We harness advanced data, analytics, and artificial intelligence to drive better decisions, power products, and deliver real-world impact across global markets.

Our teams work at the intersection of technology and business-developing end-to-end data platforms, applying machine learning, and generating insights that shape everything from client experiences to risk management and operations. From building scalable data infrastructure to deploying AI models and visualization tools, we transform complex data into actionable intelligence. 

Data & AI at JPMC is not experimental-it is embedded across the firm. Our capabilities support critical functions including trading, fraud prevention, wealth management, and cybersecurity, delivering measurable value at enterprise scale. 

We operate on modern, secure platforms that enable AI and analytics at scale, providing governed environments where teams can build, analyze, and deploy solutions responsibly. This allows us to combine technical excellence with strong governance, privacy, and risk management standards. 

Collaboration is at the heart of how we work. Our Data & AI professionals partner across lines of business and disciplines-bringing together engineers, data scientists, and domain experts to solve complex problems and deliver meaningful outcomes for clients and communities worldwide. 

As part of the Data & AI function at JPMorganChase, you'll contribute to shaping the future of financial services-working on high-impact solutions in an environment that values innovation, continuous learning, and real-world application of cutting-edge technologies.

About You

If you're ready to put your passion for data and artificial intelligence to work in a way that makes a real difference, you'll find your place in our Data & AI Program. 

To be eligible for this program, you must be authorized to work in the U.S. We do not offer any type of employment-based immigration sponsorship for this program. Likewise, JPMorgan Chase, will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit including optional practical training (OPT) or curricular practical training (CPT.)

What's Next?

Help us learn about you by submitting a complete and thoughtful application, which includes your resume. Your application and resume is a way for us to initially get to know you, so it's important to complete all relevant application questions so we have as much information about you as possible.  

After you confirm your application, we will review it to determine whether you meet certain required qualifications.  

JPMorganChase is committed to creating an inclusive work environment that respects all people for their unique skills, backgrounds and professional experiences. We will provide reasonable accommodations for applicants with disabilities. 

Visit jpmorganchase.com/careers for upcoming events, career advice, our locations and more. 

2026 JPMorgan Chase & Co. JPMorgan Chase is an equal opportunity and affirmative action employer Disability/Veteran 

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.


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