Job - LABS

Open positions

LABS:

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. Junhao (Hao) Wen, PhD, is a computational neuroscientist with expertise in medical image computing, artificial intelligence/machine learning, multi-omics, and multi-organ bioinformatics. Our lab is primarily based at the Radiology Department at Columbia, and also affiliated with Columbia's Department of Computer Science (CS) & Biomedical Engineering (BME), and the New York Genome Center (NYGC). We look forward to working with the next generation of brilliant scientists.

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.

Skill set:

Qualified 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.

Positions:

Postdoc
PhD candidate (through Columbia's CS & BME Departments)
Intern

Contact:

Please send your CV and related documents to email: jw4745(at)cumc.columbia.edu. Postdoc candidates need to submit all documents after the interview to Interfolio.