Machine Learning Researcher in Medicine and Biology

1 day ago


Palo Alto, California, United States Stanford University Full time

Are you a machine learning expert looking to apply your skills in medicine and biology? We have an exciting opportunity for a postdoctoral scholar position at Stanford University School of Medicine.

We are seeking a highly motivated and talented individual to join our machine learning group. Our team has unparalleled direct access to clinical resources and works closely with world-experts in artificial intelligence, biology, and medicine. This is a unique chance for a machine learning scientist to directly impact patients' lives in a clinical setting.

Our research covers a wide range of high-impact topics, including artificial intelligence-guided clinical decision making, integration of mental health, physical health, immune fitness, and nutrition in various clinical settings. Particular areas of interest include pregnancy and neonatology, recovery from stroke and surgery, as well as physical and biological aging.

As a member of our team, you will work on translating research findings into actionable insights and products with real-world scalability. You will also receive extensive training in entrepreneurship and business management from the Stanford University Graduate School of Business.

Diversity across all dimensions is a core value for our laboratory, and we encourage applicants from groups traditionally underrepresented in computer science and machine learning to apply.

Key Responsibilities
  • Develop and apply machine learning models to improve patient outcomes
  • Collaborate with clinicians and researchers to design and implement AI-powered solutions
  • Conduct research on new AI techniques and their applications in medicine and biology
Requirements
  • PhD in a quantitative field with experience in building and applying machine learning models
  • Excellent publication and external funding track record
  • Interest in medicine and biology
  • Familiarity with modern AI/ML platforms and libraries such as PyTorch, TensorFlow, or Jax
Preferred Qualifications
  • History of publications in leading AI/ML/Bioinformatics conferences and journals
  • Diverse experience in varied AI/ML concepts
  • Track record in development of open-source software adopted by the research community
  • Experience in medicine and/or biology

Estimated salary: $80,000 - $110,000 per year.



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