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Data Science Research Intern Jobs (NOW HIRING)

GE HealthCare

Research Intern

Bellevue, NE · On-site

$45 - $57/hr

... data science and quantitative methods to advance medicine and healthcare. You will work with ... As an AI research intern at GEHC, you get to work on the most cutting-edge and exciting projects.

Rush University Medical Center

Research Intern

Chicago, IL · On-site +1

$17 - $25/hr

The Research Intern is a temporary position designed for undergraduate and graduate students ... Preferred Job Qualifications: • Interest in learning about research, data analysis, or scientific ...

HOPPR

Research Intern

$20 - $30/hr

The Research Intern will assist in the curation of medical imaging and clinical report data and the development of AI-powered analysis pipelines based on machine learning and data science principles.

Oakland University

Research Intern

Rochester Hills, MI · On-site

$20/hr

Posting Details Posting Details Position Title Research Intern Department 2064 - Computer Science & Engineering Position Number X12010 Requisition No. TC06203 Salary Range/Pay Rate $20.00 hr Benefits ...

Oakland University

Research Intern

Rochester, MI · On-site

$20/hr

Posting Details Posting Details Position Title Research Intern Department 2064 - Computer Science & Engineering Position Number X12010 Requisition No. TC06203 Salary Range/Pay Rate $20.00 hr Benefits ...

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How much do data science research intern jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for data science research intern in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

How do Data Science Research Interns typically collaborate with full-time data scientists and engineering teams?

Data Science Research Interns often work closely with full-time data scientists to support ongoing projects, contribute to research discussions, and assist in developing analytical models. They may also interact with engineering teams to understand data pipelines, verify data integrity, and help implement prototypes into production environments. Regular meetings, code reviews, and paired problem-solving sessions are common, providing interns with valuable mentorship and exposure to real-world workflows. This collaborative environment helps interns build both technical and communication skills while making meaningful contributions to the team's goals.

What does a Data Science Research Intern do?

A Data Science Research Intern works on analyzing data, building predictive models, and supporting research projects under the guidance of experienced data scientists. Their tasks often include cleaning and visualizing data, implementing machine learning algorithms, and evaluating model performance. Interns may also help with literature reviews, prototyping new solutions, and presenting findings to the team. This role provides hands-on experience with real-world datasets and the opportunity to learn industry-standard tools and techniques.

What are the key skills and qualifications needed to thrive as a Data Science Research Intern, and why are they important?

To thrive as a Data Science Research Intern, you need a solid grounding in statistics, programming (typically Python or R), and data analysis, usually backed by coursework or a degree in a quantitative field. Familiarity with tools like Jupyter Notebooks, machine learning libraries (e.g., scikit-learn, TensorFlow), and version control systems (e.g., Git) is commonly expected. Strong problem-solving abilities, curiosity, and effective communication make candidates stand out by enabling them to tackle complex problems and share insights clearly. These skills are essential for contributing meaningful research, collaborating with team members, and translating data findings into actionable results.
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Data Science Research Intern jobs near you
Research Intern

Research Intern

GE HealthCare

Bellevue, NE • On-site

$45 - $57/hr

Full-time

Posted 11 days ago

GE HealthCare rating

8.5

Company rating: 8.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

62nd of 416 rated machine equipment manufacturers

Job description

Job Description Summary
We're looking for undergraduate science major students, preferably from biology, statistics, or computer science, with strong statistical and computational skills who are passionate about applying data science and quantitative methods to advance medicine and healthcare. You will work with leading researchers and domain experts to analyze complex biological and clinical datasets, contribute to cutting-edge research, and support the development of next-generation data-driven solutions in healthcare.
Our research agenda includes, but is not limited to:
• Analysis of large-scale biological and clinical datasets (e.g., genomics, medical imaging, electronic health records)
• Application of statistical modeling and machine learning to understand disease mechanisms and progression
• Integration of multimodal data for improved diagnosis, patient stratification, and outcome prediction
• Data-driven approaches to support clinical decision-making and healthcare efficiency
• Reproducible and responsible data science (e.g., interpretability, robustness, and bias awareness)
Job Description
Key Responsibilities:
  • Analyze large-scale biological and healthcare datasets using statistical and computational methods
  • Apply statistical modeling techniques and, where appropriate, machine learning approaches to support research questions
  • Contribute to the design and development of machine learning models (including exposure to deep learning and LLM-based approaches) to support automation of clinical or research tasks using data such as medical images, electronic health records, waveforms, and clinical reports
  • Write and maintain code in R and/or Python for data cleaning, transformation, analysis, and visualization
  • Perform statistical validation, error estimation, and interpretation of model and analysis results across diverse datasets
  • Assist in building prototypes and reproducible workflows that support scalable, high-quality research and algorithm development
  • Collaborate with researchers to translate biological and clinical questions into quantitative analyses and data-driven solutions
  • Support the exploration and evaluation of new methodologies, tools, and technologies in data science, machine learning, and healthcare applications
  • Contribute to preparation of research outputs, including visualizations, reports, and potential publications

Basic Qualifications:
  • Currently enrolled in a Bachelor's degree in Biology, Biostatistics, Bioinformatics, or a related field
  • Strong foundation in statistics (e.g., hypothesis testing, regression, data analysis)
  • Proficiency in R and/or Python for data analysis
  • Familiarity with at least one area of machine learning concepts such as Computer Vision, Deep Learning, or Algorithmic Foundations of Optimization
  • Experience working with large datasets and data wrangling techniques
  • Ability to interpret and communicate quantitative results in a biological or clinical context
  • Strong problem-solving skills and ability to work under research supervision

Preferred Qualifications:
  • Exposure to machine learning or AI concepts (e.g., classification, clustering, predictive modeling)
  • Familiarity with biological or clinical data types (e.g., genomics, imaging, EHR data)
  • Experience with data visualization tools (e.g., ggplot2, matplotlib, seaborn)
  • Knowledge of reproducible research practices (e.g., version control, scripting workflows)
  • Interest in contributing to research publications or presentations.

At GE HealthCare, we are committed to bringing AI and cloud-based solutions for our customers: all aspects of intelligent computing services across the cloud and. Sitting within the centralized Science & Technology organization, our AI org is harnessing the power of AI to make healthcare more precise, more personalized, and more accessible for everyone. From driving the overall clinical research and patient-centric innovation strategy to delivering new digital and machine learning capabilities - we're committed to leading digital transformation, improving outcomes for patients and providers, and creating a world where healthcare has no limits.
As an AI research intern at GEHC, you get to work on the most cutting-edge and exciting projects. You will have access to petabytes of data, state of the art computing resources, and professional support from domain experts.
The pay rate for this position is $45-57hr.
We will not sponsor individuals for employment visas, now or in the future, for this job opening.
Additional Information
GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.
Relocation Assistance Provided: No

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