A postdoctoral position (bioinformatics) is available at Memorial Sloan Kettering Cancer Center in New York City. Our group studies non-coding variation in human cancer, evolution of tumor genomes, and response to immunotherapy.
The successful candidate will be familiar with bioinformatics tools/pipelines and will develop and apply predictive/statistical methods to analyze large-scale genomics data, including whole-genome sequencing, RNA-Seq, methylation data, etc.
For reference, previous relevant publications in this area:
This role is a wonderful opportunity to work at the interface of experimental and computational biology and will be co-supervised by wet-lab as well as computational scientists.
- Integrate various genomics data types by applying statistical methods
- Use existing tools and pipelines to analyze large-scale cancer genomics data (whole genome/exome, RNA-Seq, CHiP-Seq, etc.)
- Develop new methods (using data integration/visualization) to address scientific questions
Memorial Sloan Kettering Cancer Center is one of the leading cancer centers in the world. Our main campus occupies three city blocks in the heart of New York City, next to The Rockefeller University and Weill Cornell Medicine. Outside of primary research interests this community offers postdocs opportunities to develop academic and professional collaborations, and to participate in weekly events organized by the postdoc society. Compensation is very competitive and includes health insurance and other benefits.
- PhD in Computational Biology, Bioinformatics, or related field
- Interest in cancer biology and genomics
- Experience analyzing genomics data
- Proficiency in R, MATLAB, or other programming languages (e.g. Python, Java, etc.)
- Solid understanding of molecular biology
- Experience with cloud computing/compute cluster environments is a plus
- Experience with TCGA/1000 Genomes/ENCODE or other genomics data is a plus
Please send application to email@example.com