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Data Science Remote Internship Jobs in Naperville, IL

micro1 AI

AI Training Specialist - Life Sciences

Elgin, IL · Remote

$90 - $120/hr

Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science. * Experience collaborating in multidisciplinary or remote project environments is ...

Tempus

Bioinformatics Scientist

Chicago, IL · On-site +1

Computational skills using Python and/or R, including experience with data science and biological ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

The University of Chicago

Senior Platform Engineer

Chicago, IL · On-site +1

$107K - $147K/yr

... data science to impactful problems in biology, medicine, healthcare, and the environment. We ... Provide technical mentorship to interns and onboarding staff and technical leadership in technical ...

Adoreal

Senior Data Engineer Manager

Chicago, IL · Remote

$108K - $147K/yr

While we are a remote-first company, we are currently only able to hire candidates located in the ... Bachelor's or Master's degree in Computer Science, Engineering, Data Systems, or a related ...

Adoreal

Senior Data Engineer Manager

Chicago, IL · On-site +1

$109K - $148K/yr

While we are a remote-first company, we are currently only able to hire candidates located in the ... Bachelor's or Master's degree in Computer Science, Engineering, Data Systems, or a related ...

TSMG

AI/ML Data Contributor

Chicago, IL · Remote

Participate in remote assignments or attend on-site sessions when required * Follow project ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

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Data Science Remote Internship information

See Naperville, IL salary details

$12

$22

$42

How much do data science remote internship jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for data science remote internship in Naperville, IL is $22.47, according to ZipRecruiter salary data. Most workers in this role earn between $17.26 and $24.47 per hour, depending on experience, location, and employer.

What is a data science remote internship?

A Data Science Remote Internship is a temporary, practical work experience opportunity in the field of data science that is completed remotely, usually from your own home or any location with internet access. Interns work on real-world projects involving data analysis, machine learning, and statistical modeling, often collaborating with teams through online communication tools. This type of internship is ideal for gaining hands-on experience, building a portfolio, and developing skills relevant to data science careers, all while offering flexibility and eliminating the need to relocate.

What are the key skills and qualifications needed to thrive as a data science remote intern?

To thrive as a Data Science Remote Intern, you need a solid understanding of statistics, data analysis, and programming languages like Python or R, often supported by coursework or projects in data science or related fields. Familiarity with tools such as Jupyter Notebook, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow) is typically expected. Strong problem-solving abilities, self-motivation, and effective communication are essential soft skills for collaborating remotely and conveying analytical insights. These competencies ensure you can independently contribute to projects, adapt to remote workflows, and deliver actionable data-driven solutions.

What types of projects can I expect to work on during a remote data science internship, and how is project collaboration typically managed?

During a remote data science internship, you can expect to work on projects such as data cleaning, exploratory data analysis, model development, and visualization tasks that support ongoing business needs. Collaboration is commonly managed through virtual tools like Slack, Zoom, and project management platforms (e.g., Jira or Trello), with regular check-ins and code reviews from your mentor or team. Interns often participate in team meetings, contribute to group presentations, and use version control systems like Git to share code and receive feedback. This structure ensures you gain practical experience while staying connected with your team, even in a remote setting.

What is the difference between Data Science Remote Internship vs Data Analyst Remote Internship?

AspectData Science Remote InternshipData Analyst Remote Internship
Required CredentialsTypically pursuing or recent graduate in Data Science, Statistics, or related fieldsOften pursuing or recent graduate in Data Analysis, Business, or related fields
Work EnvironmentRemote, collaborative with data science teams, using programming languages like Python or RRemote, focusing on data interpretation, visualization, and reporting tools like Excel, SQL, Tableau
Employer & Industry UsageTech companies, finance, healthcare, startupsBusiness, marketing, finance, consulting firms

While both roles involve working with data remotely, Data Science Remote Internships focus on building predictive models and programming skills, whereas Data Analyst Remote Internships emphasize data interpretation, visualization, and reporting. The choice depends on your career goals and skill set.

What are popular job titles related to Data Science Remote Internship jobs in Naperville, IL?

For Data Science Remote Internship jobs in Naperville, IL, the most frequently searched job titles are:

What job categories do people searching Data Science Remote Internship jobs in Naperville, IL look for?

The top searched job categories for Data Science Remote Internship jobs in Naperville, IL are:

What cities near Naperville, IL are hiring for Data Science Remote Internship jobs?

Cities near Naperville, IL with the most Data Science Remote Internship job openings:

Data Science Remote Internship jobs near you
Infographic showing various Data Science Remote Internship job openings in Naperville, IL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $46,739 per year, or $22.5 per hour.

AI Training Specialist - Life Sciences

micro1 AI

Aurora, IL • Remote

$90 - $120/hr

Part-time

Posted 20 days ago

Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.

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