The Center for Statistical Genetics at Columbia University, New York has available a position for a master 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. Or equivalent with experience.
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.
Internal Number: 508683
About Columbia University
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.