| Microsoft Careers

Microsoft

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51 days ago

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Similar $180k
$106k most similar roles pay here $248k

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About Microsoft

Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing

Microsoft currently has 1580 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 1408 roles with salary data.

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At a glance

TL;DR · | Microsoft Careers

Join Microsoft Research New England’s Biomedical Machine Learning Group as a PhD intern where you will engage in cutting-edge research at the intersection of machine learning, biology, and healthcare. Your day-to-day responsibilities include developing novel ML techniques for applications such as cancer biology, precision medicine, neurodegenerative disease, medical imaging, and computational immunology. You will work with interdisciplinary teams to advance generative models of genomes, proteins, and chemical reactions, requiring proficiency in Python, R, or similar languages alongside expertise in machine learning frameworks like TensorFlow or PyTorch. Ideal candidates have a strong background in related fields such as computer science, biomedical informatics, or computational biology, along with the ability to develop independent research agendas and collaborate effectively across diverse groups.

What you'll do

  • Develop machine learning techniques applicable to healthcare challenges such as cancer biology and precision medicine.
  • Conduct research on generative models for genomes, molecules, proteins, and chemical reactions in biological contexts.
  • Engage in computational immunology studies using advanced ML methodologies.
  • Investigate statistical genetics through the lens of modern machine learning approaches.
  • Propose and execute a summer research program focusing on specific biomedical ML topics.

What we're looking for

  • Currently enrolled in or accepted into a PhD program in ML, statistics, biology, healthcare, or related STEM fields.
  • Strong background in machine learning techniques applied to healthcare challenges.
  • Ability to develop independent research agendas in biomedical ML.
  • Experience collaborating effectively with interdisciplinary research teams.
  • Excellent interpersonal and cross-cultural collaboration skills.

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