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Machine Learning Biomedical Internship Jobs in Romeoville, IL

Integrate proteomics, metabolomics, and related datasets, and explore machine learning or transfer ... PhD in bioinformatics, computer science, statistics, computational biology, biomedical engineering ...

Computational Biologist

Chicago, IL · On-site

$130K - $163K/yr

Integrate proteomics, metabolomics, and related datasets, and explore machine learning or transfer ... PhD in bioinformatics, computer science, statistics, computational biology, biomedical engineering ...

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Machine Learning Biomedical Internship information

See Romeoville, IL salary details

$26K

$43.4K

$89.7K

How much do machine learning biomedical internship jobs pay per year?

As of Jun 14, 2026, the average yearly pay for machine learning biomedical internship in Romeoville, IL is $43,419.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,100.00 and $46,900.00 per year, depending on experience, location, and employer.

What is a Machine Learning Biomedical Internship?

A Machine Learning Biomedical Internship is a temporary position where students or recent graduates work with professionals to apply machine learning techniques in the biomedical field. Interns typically assist with data analysis, model development, and research projects that involve biological or medical data. The goal is to gain practical experience in using artificial intelligence to solve healthcare challenges, such as disease prediction, medical imaging, or drug discovery. These internships often require knowledge of programming languages like Python and familiarity with machine learning frameworks. They provide valuable hands-on experience and networking opportunities for those interested in biomedical data science careers.

What are the key skills and qualifications needed to thrive as a Machine Learning Biomedical Intern, and why are they important?

To excel as a Machine Learning Biomedical Intern, you need a solid background in computer science, statistics, and biology, often supported by coursework or a degree in related fields. Familiarity with programming languages like Python or R, experience with machine learning libraries (such as TensorFlow or scikit-learn), and knowledge of data analysis tools are typically required. Strong problem-solving skills, attention to detail, and the ability to communicate complex technical concepts clearly are crucial soft skills. These competencies enable interns to develop effective models, collaborate with multidisciplinary teams, and contribute meaningful insights to biomedical research projects.

What types of projects do interns typically work on during a Machine Learning Biomedical Internship?

Interns in Machine Learning Biomedical roles often contribute to projects involving the development and validation of algorithms for analyzing medical data, such as imaging, genomics, or electronic health records. They may assist with data preprocessing, model training, and performance evaluation under the guidance of experienced researchers or engineers. Collaboration is common, as interns often work closely with interdisciplinary teams including data scientists, clinicians, and software engineers. This hands-on experience provides valuable exposure to real-world biomedical challenges while strengthening both technical and communication skills.
What job categories do people searching Machine Learning Biomedical Internship jobs in Romeoville, IL look for? The top searched job categories for Machine Learning Biomedical Internship jobs in Romeoville, IL are:
What cities near Romeoville, IL are hiring for Machine Learning Biomedical Internship jobs? Cities near Romeoville, IL with the most Machine Learning Biomedical Internship job openings:
Infographic showing various Machine Learning Biomedical Internship job openings in Romeoville, IL as of June 2026, with employment types broken down into 28% Internship, and 72% Full Time. Highlights an 100% In-person job distribution, with an average salary of $43,419 per year, or $20.9 per hour.
Team Scientists -- Translational Data Science #MED354

Team Scientists -- Translational Data Science #MED354

The University of Chicago

Chicago, IL • On-site

Full-time

Medical, Retirement, PTO

Posted 5 days ago


University Of Chicago rating

8.2

Company rating: 8.2 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

109th of 537 rated colleges and universities


Job description

Description
The University of Chicago's Department of Medicine is searching for full-time faculty members on the School of Medicine track, at any rank, to join the Center for Translational Data Science, which focuses on the application of data science to research problems in biology, medicine and healthcare). We seek team scientists who will lead research focusing on: a) translational data science; b) the development of data commons, data ecosystem and other cloud computing platforms, systems and applications to support translational data science; and/or c) the development of machine learning, statistical, bioinformatics and AI algorithms to support translational data science. Other duties will include teaching and supervision of trainees and students, and scholarly activity. Academic rank and compensation are dependent upon qualifications.
This position is benefits-eligible. The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.
Prior to the start of employment, qualified applicants must have a doctoral degree or equivalent, in the following fields: Biomedical Data Science, Computer Science, Data Science, Informational Technology, Biomedical Informatics, or a related field.
We especially welcome applicants whose research is broadly focused in the areas of computer science, bioinformatics, data science, mathematics, information technology, genetics, genomics, and/or systems biology.
To be considered, those interested must apply through The University of Chicago's Academic Recruitment job board, which uses Interfolio to accept applications: http://apply.interfolio.com/163014. Applicants must upload a CV including bibliography, a cover letter, and a research statement. Review of applications will continue until the positions are filled.
For instructions on the Interfolio application process, please visit: http://tiny.cc/InterfolioHelp

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