Join US
We have open positions for enthusiastic postdoctoral fellows and research assistants who are passionate about bridging computational sciences and cancer biology.
AI Engineers:
As part of a bold, interdisciplinary effort at Columbia University, we’re building foundation models that learn and reason about cancer systems. We are seeking AI Engineers to design, train, and deploy large-scale multi-modal foundation models across single-cell and spatial genomic clinical data. We are looking for expertise in generative modeling, LLMs, scalable AI systems, causal discovery, and eagerness to push boundaries in real-world biomedical applications. They will collaborate with computational biologists, machine learning researchers, experimental scientists and clinicians. This is a great opportunity to redefine how we understand and model causal mechanisms driving tumors evolve, metastasize, and respond to therapy, shaping the next-generation of cancer therapies!
The position offers a unique environment across the Herbert and Florence Irving Institute for Cancer Dynamics, Columbia Engineering, and Herbert Irving Comprehensive Cancer Center, with potential to translate discoveries into innovative technologies in the years ahead.
Details and applications: https://lnkd.in/eaGsaArE
Only applications submitted through Interfolio will be considered.
Postdoctoral Fellows:
Current projects include developing and applying statistical machine learning and deep learning techniques for analyzing and integrating high-dimensional single-cell and spatial genomic and imaging datasets to understand tumor heterogeneity and tumor-immune interactions. Ideal candidates have a background in machine learning, statistics, computer science, bioinformatics and genomics. Knowledge in generative/foundation models is preferred. We have opportunities for both computational and experimental research. Interested candidates should email Elham (elham AT azizilab DOT com) with their CV, a summary of research interests and future plans, and contact information for three references.
Graduate Students:
Prospective students can apply through the Biomedical Engineering or Computer Science programs. Please send your CV, transcripts, and a summary of your research experience and interests to Elham (elham AT azizilab DOT com). For Fall 2026 we are looking for candidates with strong expertise in statistical machine learning, particularly generative and large language models. Prior experience with genomic or imaging data would be preferred.
Undergraduate Students:
Motivated undergraduate students currently enrolled at Columbia are welcome to join the lab. We suggest committing to research spanning at least two semesters. Email Elham (elham AT azizilab DOT com) with your CV, major, and research interests.
Summer internships:
High school and external undergraduate students interested in summer research internships can apply to the IICD program, or NY Bioforce. We do not take direct applications to the lab.
AI Engineers:
As part of a bold, interdisciplinary effort at Columbia University, we’re building foundation models that learn and reason about cancer systems. We are seeking AI Engineers to design, train, and deploy large-scale multi-modal foundation models across single-cell and spatial genomic clinical data. We are looking for expertise in generative modeling, LLMs, scalable AI systems, causal discovery, and eagerness to push boundaries in real-world biomedical applications. They will collaborate with computational biologists, machine learning researchers, experimental scientists and clinicians. This is a great opportunity to redefine how we understand and model causal mechanisms driving tumors evolve, metastasize, and respond to therapy, shaping the next-generation of cancer therapies!
The position offers a unique environment across the Herbert and Florence Irving Institute for Cancer Dynamics, Columbia Engineering, and Herbert Irving Comprehensive Cancer Center, with potential to translate discoveries into innovative technologies in the years ahead.
Details and applications: https://lnkd.in/eaGsaArE
Only applications submitted through Interfolio will be considered.
Postdoctoral Fellows:
Current projects include developing and applying statistical machine learning and deep learning techniques for analyzing and integrating high-dimensional single-cell and spatial genomic and imaging datasets to understand tumor heterogeneity and tumor-immune interactions. Ideal candidates have a background in machine learning, statistics, computer science, bioinformatics and genomics. Knowledge in generative/foundation models is preferred. We have opportunities for both computational and experimental research. Interested candidates should email Elham (elham AT azizilab DOT com) with their CV, a summary of research interests and future plans, and contact information for three references.
Graduate Students:
Prospective students can apply through the Biomedical Engineering or Computer Science programs. Please send your CV, transcripts, and a summary of your research experience and interests to Elham (elham AT azizilab DOT com). For Fall 2026 we are looking for candidates with strong expertise in statistical machine learning, particularly generative and large language models. Prior experience with genomic or imaging data would be preferred.
Undergraduate Students:
Motivated undergraduate students currently enrolled at Columbia are welcome to join the lab. We suggest committing to research spanning at least two semesters. Email Elham (elham AT azizilab DOT com) with your CV, major, and research interests.
Summer internships:
High school and external undergraduate students interested in summer research internships can apply to the IICD program, or NY Bioforce. We do not take direct applications to the lab.
