medjouel.com Study Non Stop
Related Articles
The Azizi Lab (Computational Cancer Biology Laboratory) at Columbia University is seeking enthusiastic and self-driven postdoctoral research scientists with a background in computational biology, machine learning, statistics, data science, bioinformatics and/or genomics, cancer biology, immunology.
The Azizi Lab (azizilab.com) utilizes an interdisciplinary approach combining cutting-edge single-cell genomic and imaging technologies with statistical machine learning techniques, to characterize complex populations of interacting cells in the tumor microenvironment as well as their dysregulated circuitry and spatial organization. Current projects include developing machine learning and deep learning techniques for analyzing and integrating high-dimensional single-cell genomic and spatial transcriptomic datasets for understanding tumor heterogeneity, tumor-immune interactions, and response to immunotherapies.
The Azizi lab is primarily affiliated with the Biomedical Engineering Department and the Irving Institute for Cancer Dynamics (IICD) at Columbia University. We are also affiliated with the Computer Science Department, Data Science Institute and the Herbert Irving Comprehensive Cancer Center. The lab is located in the Columbia Morningside (main) campus with additional experimental lab space in the CUIMC campus.
Minimum Degree Required: PhD in Computer Science, Biomedical Engineering, Bioinformatics, Computational Biology, Biology, Statistics or other relevant fields.
Qualifications:
-
- Publication record in computational biology or machine learning
- Strong interest in applications of machine learning in cancer biology or immunology
- Highly independent and interested in working with a multidisciplinary team
- Strong programming skills in python, R or MATLAB
- Technical skills and coursework in machine learning, data science or statistics
- Previous experience in developing novel machine learning methods or bioinformatics tools
- Experience with processing and analysis of genomic data is preferrable
Please send your CV, interests, contact information for three references, and any inquiries to Elham Azizi (ea2690@columbia.edu).
