Log In
Sign Up
Postdoctoral Fellow
Postdoctoral Research Scientist Full-time
The Korem Lab (https://koremlab.science) aims to obtain actionable understanding of the microbiome’s role in reproductive health, using rigorous bioinformatics, statistical analysis, and machine learning. As part of the Program for Mathematical Genomics and the Departments of Systems Biology and Ob/Gyn, we operate in an engaging and multi-disciplinary environment consisting of computational biologists, applied mathematicians, statisticians, physicists, and physicians. The lab operates at the intersection between computational biology and medicine, developing analytic approaches, algorithms, and computational methods that aim to integrate multi-omic and clinical data to study health and disease.
We are seeking a postdoctoral researcher who will analyze exciting multi-omic datasets (including metagenomics, metabolomics, immune profiles, biomechanical measurements, and clinical records). The ideal candidate will have strong experience in computational biology with experience in bioinformatics, statistical analysis, machine learning, and data visualization.
Applications are reviewed on a rolling basis.
Qualifications include:
- Ph.D. in any quantitative science (statistics, computer science, physics or similar fields) or in life sciences with a strong computational background. You will acquire any missing domain or biological knowledge with us.
- Experience in biological data analysis, preferably -omics and/or microbiome related.
Applications should include:
- Cover letter
- CV
- Names and contact information for three references
Equal Employment Opportunity Statement
Columbia University is an Equal Opportunity Employer / Disability / Veteran
Pay Transparency Disclosure
The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University’s good faith and reasonable estimate of the range of possible compensation at the time of posting.