BACKGROUND
A postdoctoral position and PhD positions are 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 predict the tissue origin for metastatic cancer tissues. We are especially interested in integrating RNA and methylation data of non-coding elements and repeat elements.
Other projects involve investigating the potential regulatory role of repeat elements, 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 https://www.unlv.edu/lifesciences
RESPONSIBILITIES
The main responsibility will be to apply machine learning and statistical methods to link multiple modes of omics data and classify the metastatic cancer samples into correct tissue types.
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
Postdoc stipend level is commensurate with the NIH level.
PhD stipend level will be $30,000 or more depending on your experience.
POSTDOC 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
POSTDOC PREFERENCES
Experience in machine learning and heterogeneous data integration
Experience with molecular biology of next generation sequencing
PhD REQUIREMENTS
Experience with programming (Python, R, C/C++) and Linux/Unix environments
Self-motivation with excellent communication skills and an ability to work well in a team environment
Please send a CV/resume and a brief statement of research interests to Dr. Mira Han (mira.han[at]unlv.edu).