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Postdoctoral Fellow
Postdoctoral Research Scientist Full-time
The Korem Lab at Columbia University (https://koremlab.science) aims to obtain an actionable understanding of the microbiome’s role in clinically relevant settings, using rigorous bioinformatics, statistical analysis, and machine learning. As part of the Program for Mathematical Genomics and the Departments of Systems Biology, 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 data science, computational biology, and medicine, developing analytic approaches, algorithms, and computational methods and applying them to integrate multi-omic and clinical data to study health and disease.
We are seeking a postdoctoral researcher who will lead an NIH-funded project studying cross-cohort associations between the gut microbiome and alopecia areata. The project is a collaboration with the lab of Dr. Angela Christiano. This is a position for a computational biologist with excellent written and verbal communication skills, computer programming, bioinformatics, statistical analysis, and data visualization.
Qualifications
- 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 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.