We are searching for a postdoctoral researcher commencing spring / summer 2016.
The Rabadan Lab (rabadan.c2b2.columbia.edu) is a multi-disciplinary team at the Columbia University Medical Center consisting of applied mathematicians, computational and evolutionary biologists, physicists, and physicians. As part of the Center for Topology of Cancer Evolution and Heterogeneity, we are building a vibrant community of researchers who use insights and techniques from computational topology to solve pressing biomedical problems. Research topics include:
- How does HIV evolve and adapt within the host environment? Evolutionary trees may not be the best way to understand and visualize a viral population that recombines, draws upon a reservoir of archival virus, and starts and stops replicating in response to changes in treatment. Major decisions about the direction of HIV cure research are being made on the basis of evolutionary studies, and building accurate analytical tools for these studies is a priority. What topological structures, other than trees, can help us understand and communicate viral evolution?
- How do tumors diversify as they develop? Single-cell and deep sequencing of tumors have revealed considerable heterogeneity in both solid and blood tumors. Therapies targeted to single genes that are mutated in only one part of the tumor – even the largest part of it – may fail to eradicate the entire disease. We are using methods of computational topology to visualize and analyze the genetic and transcriptomic relationships between different parts of tumors.
We are searching for a postdoctoral researcher who wants to work in a creative and collaborative environment on these and other questions related to human health and evolution, carcinogenesis, and microbial pathogens. Candidate qualifications include:
- PhD in Mathematics, Applied Mathematics, or a computational science;
- Experience building tools for computational topology and visualization of complex data;
- Experience and/or demonstrated interest in biological and/or clinical questions;
- Strong programming background and interest in building tools for the broader research community.
Candidates with only some of the above qualifications are also highly encouraged to apply – we are always looking for talented and dedicated pre- and post-doctoral scientists!
Option 1: Please send CV and one or two relevant publications/pre-prints to me at email@example.com. In your email, please highlight any important aspects of your experience. Recommendations/references are not necessary in your initial email, but may be requested for follow-up. I look forward to hearing from you!
Option 2: Follow instructions at
Daniel Scholes Rosenbloom
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