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Machine Learning Biomedical Internship Jobs in Durham, NC

Machine Learning Engineer About CoVar CoVar is a small AI/ML R&D software company in Durham, NC ... We develop AI/ML tools to help the DoD detect enemies and threats, help biomedical researchers find ...

AI or machine learning applied to biomedical data. * Grant proposal development and sponsored research. $110,000 - $150,000 a year Company Description: Kitware is a research and development software ...

AI or machine learning applied to biomedical data. * Grant proposal development and sponsored research. Company Description: Kitware is a research and development software solutions provider with a ...

Biomedical Modeler

Carrboro, NC ยท On-site

$110K - $150K/yr

AI or machine learning applied to biomedical data. * Grant proposal development and sponsored research. $110,000 - $150,000 a year Company Description: Kitware is a research and development software ...

Your work will contribute to cutting-edge projects at the intersection of artificial intelligence, genomics, and biomedical discovery. You will help design and implement machine learning models ...

Your work will contribute to cutting-edge projects at the intersection of artificial intelligence, genomics, and biomedical discovery. You will help design and implement machine learning models ...

The ideal candidate will develop novel machine learning and artificial intelligence (ML/AI) methods ... to understand biomedical problems like tumor microenvironment, immunology, and aging. The ...

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Machine Learning Biomedical Internship information

See Durham, NC salary details

$24.6K

$41.1K

$85K

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

As of Aug 2, 2026, the average yearly pay for machine learning biomedical internship in Durham, NC is $41,149.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,400.00 and $44,400.00 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 are popular job titles related to Machine Learning Biomedical Internship jobs in Durham, NC? For Machine Learning Biomedical Internship jobs in Durham, NC, the most frequently searched job titles are:
What job categories do people searching Machine Learning Biomedical Internship jobs in Durham, NC look for? The top searched job categories for Machine Learning Biomedical Internship jobs in Durham, NC are:
What cities near Durham, NC are hiring for Machine Learning Biomedical Internship jobs? Cities near Durham, NC with the most Machine Learning Biomedical Internship job openings:
Infographic showing various Machine Learning Biomedical Internship job openings in Durham, NC as of June 2026, with employment types broken down into 30% Internship, 39% Part Time, and 31% Temporary. Highlights an 100% In-person job distribution, with an average salary of $41,149 per year, or $19.8 per hour.

Machine Learning Engineer

CoVar

Durham, NC โ€ข On-site

Full-time

Re-posted 16 days ago


Job description

Machine Learning Engineer

About CoVar

CoVar is a small AI/ML R&D software company in Durham, NC, that uses artificial intelligence to solve problems that matter. We develop AI/ML tools to help the DoD detect enemies and threats, help biomedical researchers find new cures for diseases, and help monitor machinery to prevent injuries and environmental catastrophes. We are passionate engineers, dedicated to pushing the bounds of what AI/ML can do in the real world.

About this position

You will help CoVar develop software and machine learning algorithms to solve real-world customer problems. You will work with data, develop algorithms, evaluate results, and write the production code that goes onto real-world systems. You will have the opportunity to present your work to high-level customers in the DoD and in the industry. The position includes opportunities to publish novel work in both classified and unclassified settings.

Qualifications

Applicants should have expertise in Python (including NumPy, pandas, and other packages) and either PyTorch or TensorFlow. Deep understanding of machine learning fundamentals (gradient descent, cross-validation, ROC curves, confusion matrices) are necessary. Knowledge of classical machine learning (e.g., support-vector-machines, logistic regression) are valued. Applicants are ideally familiar with computer vision algorithms like object detection networks (e.g., YOLO, CenterNet) and modern image classification techniques. Previous experience with DoD customers is a plus.

Minimum qualifications

  • Software expertise: Python and associated numerical and analytics packages (NUMPY, PANDAS, etc.); git; PYTORCH or TensorFlow; CI/CD pipelines and regression testing.
  • AI/ML expertise: Machine learning fundamentals; Deep knowledge of state-of-the-art in any of the following: computer vision (preferred), natural language processing, classical machine learning, Bayesian models, etc.
  • B.S., preferably M.S. or Ph.D in engineering, math, computer science, or related field
  • Excellent technical communication skills
  • Ability to work in Durham, NC (relocation assistance available)
  • Eligibility for US security clearance (US citizenship is required)

Bonus skills

  • Department of Defense project experience
  • Active US security clearance (secret or higher)

Benefits

  • Competitive salary, cash bonus, equity structure, and 401k with employer contributions
  • Excellent health care coverage, including dental and vision plans
  • Parental leave
  • Short-term and long-term disability insurance
  • Life insurance
  • Flexible work schedule
  • Tuition support
  • PTO and paid holidays

Visit us: www.covar.com