BACKGROUND
A postdoctoral position is available in the lab of Mira Han at University of Nevada, Las Vegas and Nevada Institute of Personalized Medicine.
Research will focus on integrating heterogeneous omics data to understand the biology of transposons and their effects on disease.
Other projects involve investigating the potential regulatory role of transposons, through analysis of existing ChIP-seq, eCLIP, RNA-seq and genetic datasets.
Nevada Institute of Personalized Medicine was just awarded a $11.4M, 5 year Center of Biomedical Research Excellence P20 Grant from NIH in personalized Medicine.
The position will involve collaboration with other computational biologists and molecular biologists in the Nevada Institute of Personalized Medicine and School of Life Sciences.
It will also involve assisting in the supervision of graduate and undergraduate students and developing new areas of research.
Visit the website to find out more at www.unlv.edu/NIPM and www.unlv.edu/lifesciences
RESPONSIBILITIES
The main responsibility will be to apply sequence data analysis to identify differentially regulated transposable elements in disease, and predict elements with regulatory function.
The postdoctoral researcher will be able to explore other projects independently in addition to the main project.
TERMS
Appointment is for two years with a possibility of extension of one more year.
LOCALE
The UNLV campus offers a stimulating and rewarding environment. Here, you will find a friendly community dedicated to learning and research. Las Vegas has its safe communities, affordable home prices, high quality of life, little traffic.
COMPENSATION
$48,432
REQUIREMENTS
PhD degree in Bioinformatics, Computer Science, Biological Sciences, Mathematics, Biostatistics or related fields
Proven skills in programming (Python, R, C/C++) and experience with Linux/Unix environments
Practical experience of high-throughput data analysis, data management, data mining/ integration
Practical experience of next-generation sequencing data analysis and skills in bioinformatic tools and databases
Self-motivation with excellent communication skills and an ability to work well in a team environment
PREFERENCES
Experience in machine learning and heterogeneous data integration
Experience with molecular biology of next generation sequencing