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.
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The Sr. Computational Biologist will work with an expanding team of research, clinical and computational investigators working in cancer genomics.
We have a strong research focus on pediatric and blood cancers. We plan to prospectively profile all pediatric cancers by wholegonome as well as whole exome sequencing and RNA sequencing and study these alongside cell and patient derived xenograft models. To study the role of genetic and clonal heterogeneity in cancer we study spatially and temporally separated samples and accompany these by single cell derived experimental models. Additionally we routinely profile patients with advanced disease and no available therapeutic treatments, patients with no known drivers as well as active patients on our clinical trials.
Our mission is to establish a fully integrated research program that coordinates basic scientific discovery, early-phase clinical trials, and drug development. As part of the center’s clinical and research investigations we are generating a wealth of genomic annotation data to inform clinical decision support and develop diagnostic and disease surveillance assays informed by molecular markers. To this effect we are also developing novel methods such as deep molecular barcoding assays for monitoring minimal residual disease and or circulating tumor DNA.
The Computational Biologist will have a strong track record in analysis of genome data with programming and coding expertise. He or She will be involved in the experimental design of each project, analysis of high-throughput cancer genomics (DNA, RNA, methylation/ epigenetic data), co-ordination with clinical and research collaborators to produce high quality Data for presentation in international conferences and scientific publications.
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