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Machine Learning Biomedical Internship Jobs in Texas

Avride

Machine Learning Engineer Internship

Austin, TX · On-site

About the Internship At Avride, ML Engineer Interns operate at the intersection of cutting-edge ... Machine Learning / Math Foundation: Strong understanding of deep learning, reinforcement learning ...

Capital One

Senior Machine Learning Engineer

Plano, TX · On-site +1

$100K - $137.30K/yr

Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part ... At least 4 years of experience programming with Python, Scala, or Java (Internship experience does ...

Capital One

Lead Machine Learning Engineer

Plano, TX · On-site +1

$98.10K - $129.20K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

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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.
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What cities in Texas are hiring for Machine Learning Biomedical Internship jobs? Cities in Texas with the most Machine Learning Biomedical Internship job openings:
Machine Learning Biomedical Internship jobs near you
Infographic showing various Machine Learning Biomedical Internship job openings in Texas as of May 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Temporary. Highlights an 95% Physical, and 5% Remote job distribution.

LEAD ENGINEER - SR. COMPUTER SCIENTIST - Kinesioception Lead

SWRI

San Antonio, TX • On-site

$92.50K - $121.80K/yr

Full-time

Posted 17 days ago

Job description

  • Identify and pursue new research directions for current and emerging technologies in machine learning, data science and analytics, biomedical engineering, neuromorphic processing, and human performance optimization.
  • Guide junior staff and customers in R&D concepts and practices and implementation of decision-support solutions.
  • Provide recommendations to management regarding technical direction.
  • Capture new research projects with new and existing clients.
  • Establish an industry presence by presenting our research and networking at conferences, workshops, and symposiums.

  • Apply state-of-the art machine learning software solutions for various decision-support intelligent system applications.
  • Interact with team members and customers to discuss technical solutions to problems.
  • Manage the various aspects of a project (e.g., technical goals, team tasking, project budget, reporting).
  • Interact with clients (and potential clients) to discuss and propose technical solutions to unique problems.

  • Requires a Bachelors, Masters or a PhD in Computer Science, Biomedical Engineering, Electrical Engineering, or directly related degree field- 3 years experience with PhD, 4 years experience with Masters, 5 years experience with Bachelors.
  • 3-5 years: Industry experience in software development, machine learning, biomedical, medical, or human performance optimization applications. Experience with neural network development and associated tools and frameworks preferred.
  • 1+ years: Business development experience; identifying and sourcing potential leads and customers; engaging with customers and identifying problem to be solved and developing statements of work; contract negotiation and closing the deal.
  • Experience with leading project teams, budgets, schedules, risk management; excellent written, verbal, interpersonal skills.
  • A valid/clear driver's license is required.

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