Do you want to work on intellectually challenging problems that can help improve cancer care? Memorial Sloan Kettering Cancer Center (MSK) is one of the worlds premier cancer centers, committed to exceptional patient care, leading-edge research, and superb educational programs. The blending of research with patient care is at the heart of everything we do.
We are seeking a highly motivated candidate, interested in machine learning applied to medical problems, for an NIH-funded position as a postdoctoral fellow. This position will focus on machine learning-based modeling of outcomes using genetic information, but will also provide opportunities to work on emerging problems of interest in cancer research.
The ideal candidate should have:
PhD degree in bioinformatics, computer science, biostatistics, statistics, physics or a related field
An interest in biological problems
Experience in predictive modeling using machine learning techniques
Track record of research and publications
Experience in analyzing large data sets, be proficient in at least one of the statistical programming languages R/Matlab/Python and have experience working on Unix/Linux systems and basic shell scripting
Experience in bioinformatics would be advantageous, but is not necessary.
Please include CV and letter outlining your interest as well as names/contact information of two references. Any questions can be directed to:
Jung Hun Oh, PhD,Assistant Attending Computer Scientist, Service for Predictive Informatics, Department of Medical Physics.email@example.com
Internal Number: 2020-44426
About Memorial Sloan Kettering Cancer Center
At Memorial Sloan Kettering (MSK), we’re not only changing the way we treat cancer, but also the way the world thinks about it. By working together and pushing forward with innovation and discovery, we’re driving excellence and improving outcomes. For the 28th year, MSK has been named a top hospital for cancer by U.S. News & World Report. We are proud to be on Becker’s Healthcare list as one of the 150 Great Places to Work in Healthcare in 2018, as well as one of Glassdoor’s Employees’ Choice Best Place to Work for 2018. We’re treating cancer, one patient at a time. Join us and make a difference every day.