The Rabadan Lab (https://rabadan.c2b2.columbia.edu/) is a multi-disciplinary team at Columbia University Medical Center consisting of computational and evolutionary biologists, applied mathematicians, physicists, and physicians. As part of the Department of Systems Biology and Department of Biomedical Informatics, we collaborate with clinicians and public health researchers from around the world to explore several disease systems, focusing particularly on the genetics and epidemiology of infectious diseases and cancer. As part of the Program for Mathematical Genomics, we are building a vibrant community of researchers who use insights and techniques from computational topology and biological data to solve pressing biomedical problems.
We are now seeking postdoctoral researchers to join a creative team in a collaborative environment developing mathematical techniques for the analysis of high-dimensional, high-throughput sequencing and biological data.
PhD degree in any quantitative science (preferably mathematics, computer science, physics, astrophysics, computational biology, statistics, or engineering) is required.
Expertise in high-throughput sequencing technologies is highly valued.
Experience with clinical data from large biobanks is also highly valued.
Candidates should have a working knowledge of programming (Python, R, Java or C++) and statistical analysis with demonstrated experience in problem solving.
Practical knowledge of algorithms and databases is required.
Excellent organizational and communication skills are a must.
Applications are open until all positions are filled.
Please be sure to apply online and include the following: -Cover letter/statement of interest -CV -Names and contact information for three references
Columbia University is one of the world's most important centers of research and at the same time a distinctive and distinguished learning environment for undergraduates and graduate students in many scholarly and professional fields. The University recognizes the importance of its location in New York City and seeks to link its research and teaching to the vast resources of a great metropolis. It seeks to attract a diverse and international faculty and student body, to support research and teaching on global issues, and to create academic relationships with many countries and regions. It expects all areas of the university to advance knowledge and learning at the highest level and to convey the products of its efforts to the world.