Postdoc Positions Openings
Postdoc Openings at IICD
We are seeking a highly motivated postdoctoral research scientist to spearhead a multidisciplinary project studying the dynamics of the immune system in health and disease. The Computational Postdoctoral Research Scientist will develop mathematical, computational, and statistical models and will work in collaboration with leading experimental immunologists and computational biologists. The ideal candidate has expertise in probabilistic and dynamical modeling, handling high-dimensional data, and statistical inference. This full-time, on-site Computational Postdoctoral Research Scientist role is located in New York, NY.
- A PhD in Applied Mathematics, or a related field with a focus on theoretical sciences, computational biology or statistics within the last 4 years
- Strong proficiency in one or more programming languages such as Python, R, and C++
- Interests in immunology, cancer, cell biology, or ecology are preferred but not required
- Excellent written and oral communication skills
Please send your CV and any inquiries to Sanket Rane at sanket.rane(at)columbia.edu.
We are jointly seeking a postdoctoral research scientist with a background in computational biology, machine learning, and statistics, as well as preferably genomics and cancer biology. Our collaborative projects combine causal inference and gene regulatory network modeling underlying cancer progression, metastasis and drug resistance. Read more: https://www.azizilab.com/join-us.html
Minimum Degree Required: PhD in Computer Science, Biomedical Engineering, Bioinformatics, Computational Biology, Biology, Statistics or other relevant fields.
- Publication record in computational biology, machine learning, or statistics
- Strong interest in applications of statistical machine learning in genomics
- Highly independent and interested in working with a multidisciplinary team
- Strong programming skills in Python or R
- Technical skills and coursework in machine learning, data science or statistics
- Previous experience in developing novel machine learning methods or computational biology tools
- Experience with processing and analysis of genomic data and knowledge of cancer biology is preferrable
Please send your CV, interests, contact information for three references, and any inquiries to Elham Azizi (ea2690 AT columbia.edu) and David Knowles (dak2173 AT columbia.edu).
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: ca[email protected] and [email protected] if interested.
As part of the Irving Institute for Cancer Dynamics Postdoctoral Program, we seek up to two postdoctoral research scientists who are recent Ph.D. graduates and who are interested in developing independent and novel research in an environment that fosters multi-disciplinary, collaborative research. While these positions might suit a researcher with some post-doctoral experience, we also encourage applications from recent PhD graduates. Candidates will be mentored by at least two faculty members, at least one of whom should be based on the Morningside Heights campus of Columbia University, to be identified through interaction with the candidate.
This request for application is now closed. Please check again later.
The Data Science Institute (DSI) postdoctoral fellows are the next generation of leaders in data science. Fellows carry out independent and novel research in an environment that fosters multi-disciplinary, collaborative work.
DSI and the Herbert and Florence Irving Institute for cancer Dynamics (IICD) are actively seeking candidates who are recent Ph.D. graduates and have explicit interests in advancing and/or applying data science to other domains.
We interested in fellows who will support our shared mission of improving the understanding of cancer biology, origins, treatment, and prevention through data-driven methods and processes. We are particularly interested in candidates who will further advance core research in statistical and probabilistic modeling.
Prior experience in data science is not required. We look for candidates with the courage and interest to learn a new field, to be part of a select like-minded cohort of fellows, and to help define the field of data science for the long-term future.
We encourage applications from candidates with diverse backgrounds, experiences, and identities.
Click here to apply for IICD/DSI postdoctoral fellowship. Please indicate your interest in the DSI/IICD program within your cover letter.
You can find more information here.
This request for application is now closed.