A postdoctoral position is available in our lab at Memorial Sloan Kettering Cancer Center in New York City. We are interested in applying large-scale data analyses to understand the principle or tumor evolution and progression. Our lab maintains close collaborations with clinical investigators at the institute. Candidates should have a recent PhD in bioinformatics, biostatistics, computational biology or related discipline, and be familiar with analysis of genomics data using R, Python or similar programming languages.
Memorial Sloan Kettering Cancer Center is consistently ranked as one of the leading cancer center 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. Within this tri-institutional research and education community, postdocs can cultivate rewarding collaborations and participate in a rich agenda of academic, professional, and social events. Compensation is highly competitive and includes health insurance and other benefits.
- PhD in Computational Biology, Bioinformatics, or related field
- Interest in cancer biology and genomics
- Proficiency in R, MATLAB, or other programming languages (e.g. Python, Java, etc.)
- Experience with TCGA/1000 Genomes/ENCODE or other genomics data is a plus
- Develop computational methods to analyze and integrate various genomics data types
- Use existing tools and pipelines to analyze large-scale cancer genomics data (whole genome/exome, RNA-Seq, CHiP-Seq, etc.)
Submit CV by email (weinholn@mskcc.org)