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Machine Learning Biomedical Internship Jobs in Ohio

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range: $28 - $45 per hour Visa: H1B Sponsorship Available | STEM OPT, OPT & CPT Candidates Welcome Position ...

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range: $28 - $45 per hour Visa: H1B Sponsorship Available | STEM OPT, OPT & CPT Candidates Welcome Position ...

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Machine Learning Biomedical Internship information

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 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 job categories do people searching Machine Learning Biomedical Internship jobs in Ohio look for? The top searched job categories for Machine Learning Biomedical Internship jobs in Ohio are:
What cities in Ohio are hiring for Machine Learning Biomedical Internship jobs? Cities in Ohio with the most Machine Learning Biomedical Internship job openings:

Senior Machine Learning Engineer (JR217954)

CCHMC Biomedical Research Technologies Masters Program

Cincinnati, OH โ€ข On-site

$102K - $140K/yr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Job Summary:
CCHMC Biomedical Research Technologies Masters Program is seeking a Senior Machine Learning Engineer. The role involves applying advanced machine learning techniques to biomedical research projects, contributing to the development of innovative solutions in the healthcare domain.
Company:
We are a masters program that is training the next generation of scientist in cutting edge technology to enable innovation and breakthroughs in biomedical science. Founded in , the company is headquartered in Cincinnati, Ohio, US, , with a team of 10001+ employees. The company is currently Late Stage.