LABS recruitment postdoc, PhD students, and interns

Lab introduction:

Laboratory of AI and Biomedical Science (LABS) is primarily affiliated with Columbia Radiology, and is also an affiliated member of New York Genome Center (NYGC). LABS focuses on developing and applying AI to various biomedical data in human aging and disease. We look forward to working with the next generation of brilliant scientists.

Research directions:

The interests of LABS are to develop and apply statistical, machine learning, and artificial intelligence (ML/AI) methodologies to “big data” in multiomics and medical data for aging and diseases, such as Alzheimer’s disease. In particular, we emphasize utilizing advanced ML/AI techniques and multi-omics data, including MRI, genetics, transcriptomics, and proteomics, to solve clinically relevant problems for precision medicine. All relevant directions can be pursued based on discussions, interests, and expertise.

Candidate skill set:

  • Ph.D. degree in any quantitative science, preferably in Computer Science, Biomedical Engineering, Applied Mathematics, Neuroscience, or Statistics;
  • Candidate should have a working knowledge of programming, including Linux, Python, and R;
  • Candidate having background knowledge in neuroimaging, machine learning, and genetics is encouraged;
  • Skills in communications, collaboration, and outreach are required.

Contact:

Please send your CV and related documents to email: jw4745@cumc.columbia.edu

Diversity Statement:

Diversity, equity, and inclusion are key drivers of scientific progress. LABS focuses on socioeconomic status, race, gender, and culture to promote diversity in research.