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.
The Center for Statistical Genetics at Columbia University, New York has available a position for a student who will be responsible for analyzing and developing methods to study a variety of omics data to elucidate the genetic epidemiology of complex traits. These methods will include those to perform fine mapping, detect associations, pleiotropy, and interactions. S/he will be involved in developing software to implement these methods and fully evaluate their type I error and power. S/he will apply the methods to study a variety of complex traits which include but not limited to Alzheimer's disease, age-related hearing impairment, tinnitus, type 2 diabetes, obesity, and asthma.
The Short-term Casual will develop methods to analyze a variety of omics data, use simulations studies to evaluate type I error, and power. Apply the methods to data sets to better understand the etiology of complex traits.
Bachelor's degree in statistics, epidemiology, bioinformatics, biostatistics, computational biology, genetics, biology or a degree in a related field.
Strong statistics background
Ability to program in C/C++, R or Python
Experience in analyzing large scale genetic data
Experience in developing methods to analyze omics data
Equal Opportunity Employer / Disability / Veteran
Columbia University is committed to the hiring of qualified local residents.
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