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Machine Learning Biomedical Internship Jobs in Virginia

Hirekeyz Inc

Lead Machine Learning Engineer

Fort Belvoir, VA · On-site

$115.90K - $152.70K/yr

Role: Lead Machine Learning Engineer Location: Ft. Belvoir, VA (On-site with Hybrid Option ... Internship experience does not apply) * Proven track record in designing, building, and/or ...

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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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Machine Learning Biomedical Internship jobs near you

Lead Machine Learning Engineer

Hirekeyz Inc

Fort Belvoir, VA • On-site

$115.90K - $152.70K/yr

Contractor

Posted 13 days ago

Job description

Role: Lead Machine Learning Engineer

Location: Ft. Belvoir, VA (On-site with Hybrid Option)

Duration: Long Term Contract

Job Description:

As a consultant, will be working to assist a DoD U.S. Army Command to create cybersecurity solutions working with cloud-based architecture (AWS Services).  You will work directly the stakeholders to understand requirements and work with Army’s Security teams to ensure the technologies available to the Government can be turned into solutions that they can use. Liaise with government software vendors and other asset creators; lead coordination of point solutions into broader capabilities for Army Defense Cyber Operations (DCO).  You will be helping our military defend our cyber security infrastructure by delivering software capabilities. 

Required Skills:

  • Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field
  • Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field
  • At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
  • Proven track record in designing, building, and/or delivering ML models and components that solve real-world business problems, while working in collaboration with other technical teams.
  • Collaborate as part of a cross-functional Agile team to create and enhance capabilities that enables state-of-the-art big data and ML applications.
  • Retrain, maintain, and monitor models in production.
  • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.
  • Be a trusted advisor to the Government to ensure all third party vendors platforms and code delivered is “fit for purpose”
  • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and
  • Use programming languages like Python, Scala, or Java.
  • Abilty to mentor and coach junior resources with delivery tasks.
  • Self-motivated, with the ability to work effectively both independently and in a team environment

Preferred Skills:

  • Certifications in Machine Learning / Artificial Intelligence / Data Science
  • Familiarity with agile development methodologies
  • 5-8 years of experience in a ML/AI development and/or lead role