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Machine Learning Engineer at Harvard University | Boston

On-site Full-time

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Experience Level

Entry Level

Qualifications

Qualifications:Proficiency in programming languages such as Python or R. Experience with machine learning frameworks and libraries. Strong analytical and problem-solving skills. Ability to communicate complex concepts clearly. Experience in biomedical informatics or related field is a plus.

About the job

Harvard University’s Biomedical Informatics department is hiring a Machine Learning Engineer in Boston. This position centers on developing machine learning tools that advance biomedical research and healthcare initiatives.

Key responsibilities

  • Design and implement machine learning models tailored to biomedical datasets
  • Work closely with researchers and technical colleagues to address complex data challenges
  • Translate research goals into technical solutions that contribute to healthcare applications

Requirements

  • Strong grasp of machine learning algorithms
  • Background in data analysis and programming
  • Comfort working with multidisciplinary teams

About Harvard University

Harvard University is a prestigious institution committed to excellence in education, research, and the advancement of knowledge. Our Biomedical Informatics department is at the forefront of integrating computational techniques with biomedical research, making significant contributions to health and science.

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