Career Opportunities
Faculty Openings
There are no openings at this time. Please check back later.
Research Scientist Openings
There are no openings at this time. Please check back later.
Postdoc Openings
The Irving Institute for Cancer Dynamics invites applications for a postdoctoral researcher position to join the theoretical immunology group led by Dr. Rane. The postdoctoral fellow will work directly with Dr. Rane on investigating the dynamics of the immune system in both health and disease. Funds are available for conference travel and professional development. The initial appointment will be for one year and is full-time and benefitted, with potential for renewal for a second year, pending annual review of performance and continued availability of funding.
See full application details and job description HERE.
The Herbert and Florence Irving Institute for Cancer Dynamics, directed by Professor Simon Tavaré, and the Peterka lab at the Mortimer B. Zuckerman Mind Brain Behavior Institute are seeking a highly motivated postdoctoral research scientist to spearhead a collaborative research project focused on the application and development of advanced optical imaging instrumentation and methods for spatially resolved tissue imaging and -omics primarily in tumors. The postdoctoral research scientist will oversee developing new approaches to image and interrogate the tumor microenvironment with single-cell resolution. The ideal candidate has prior experience with advanced microscopy and optomechanical integration, as well as image processing and analysis. Please contact: [email protected] and [email protected] if interested.
Staff Openings
Position Summary
Reporting to the Associate Director of Finance and Administration (DFA), the Grants Manager is the lead administrator for pre- and post-award grant activities, acting as the department’s representative to sponsoring agencies. The Grants Manager is responsible for the entire lifecycle of grants, including proposal preparation, compliance review, budget oversight, financial reconciliation, and reporting. This position ensures adherence to grant and contract regulations while assisting principal investigators and fostering effective communication with funding agencies.
For more details and to apply, please check here.
We are launching a campus-wide initiative to build foundation models that simulate the evolution of tumor ecosystems. You will be the lead engineer contributing to large-scale generative modelling on single-cell, spatial-omics, and clinical data.
Core responsibilities
- Design, train and deploy multi-modal foundation models for single-cell and spatial cancer data
- Build scalable training pipelines in PyTorch/JAX on GPU clusters and cloud HPC/ADK
- Implement data-efficient fine-tuning, adaptive learning workflows and agentic frameworks for reasoning
- Collaborate with machine learning experts and computational biologists to build tools for AI agents e.g. libraries, MCPs and APIs.
The position is a full-time appointment jointly housed in Columbia’s Irving Institute for Cancer Dynamics and The Fu Foundation School of Engineering & Applied Science. You will collaborate daily with a diverse team of AI/ML researchers, computational biologists, clinicians and bioengineers who share a mission of transforming our understanding of cancer progression and improving its treatment through next-generation AI and experimental platforms.
Read more: https://apply.interfolio.com/176464
Columbia University’s Irving Institute for Cancer Dynamics unites world-class scientists across diverse academic disciplines to conduct groundbreaking research that transforms our understanding of cancer. Our mission is to combine expertise in mathematics, statistics, computer science, immunology and biology, to uncover how tumors evolve.
The laboratory of Dr. Khanh N. Dinh has an opening for a highly motivated Staff Associate I position to gain proficiency in a dynamic and collaborative research environment, assisting in developing novel bioinformatic software grounded in mathematics and biology to analyze tumor genomic data.
Responsibilities:
- Responsibilities include, but are not limited to the following:
- Under the direction of the PI, develop novel mutation clustering algorithms based on existing mathematical results from population genetics.
- Under the direction of the PI, evaluate new mutation clustering pipelines with synthetic tests.
- Under the direction of the PI, apply the pipelines to existing cancer DNA-sequencing datasets and derive biologically relevant findings.
- Present our findings to the community at national conferences.
- Participate in weekly meetings with the PI, his group and collaborators
Read more: https://apply.interfolio.com/185992