The Azizi Lab (Computational Cancer Biology Laboratory) at Columbia University is seeking enthusiastic and self-driven postdoctoral fellows 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 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 imaging datasets for understanding tumor heterogeneity and tumor-immune interactions.
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, Bioinformatics, Computational Biology, Biology, Statistics or other relevant fields.
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 AT columbia DOT edu.