Job - LABS

LABS recruitment postdoc, PhD students, and interns

Lab introduction:

LABS is recruiting now at all levels! LABS focuses on developing and applying artificial intelligence and machine learning (AI/ML) to various biomedical data related to human aging and disease. Dr. Junhao Wen is an Assistant Professor and the PI of LABS, based at the Department of Radiology at Columbia University in New York, and is also an Affiliated Member of the New York Genome Center. In addition, he is also a Visiting Assistant Professor at the University of Pennsylvania. 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(at)cumc.columbia.edu; postdoc candidates can also directly apply on Interfolio.

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.