Postdoc in Computational Cancer Genomics – Memorial Sloan Kettering, New York
We are seeking a highly motivated postdoctoral researcher with a computational biology/bioinformatics background to join the Marie-Josée and Henry R. Kravis Center for Molecular Oncology (CMO) at Memorial Sloan Kettering.
The mission of the CMO is to promote precision oncology through genomic analysis to guide the diagnosis and treatment of cancer patients. The CMO brings together clinicians and scientists throughout Memorial Sloan Kettering to conduct large-scale translational research involving molecular characterization of patient tumor specimens in order to identify correlations between genomic features and clinical outcomes.
The candidate is expected to work closely with researchers and clinicians to design experiments and analyze and interpret large-scale multi-modal molecular data from clinical samples. This is a highly collaborative, multidisciplinary research environment; good communication and organizational skills are required. The candidate will be expected to manage collaborative projects and publish scientific results.
- A PhD in genetics, bioinformatics, computer science, or related field
- Proficiency with a Unix-based programming environment
- Working knowledge of probability and statistics
- Solid understanding of molecular biology
- Good oral and written communication skills and ability to work as part of a team
- Publication in well-regarded peer-reviewed journals
- An enthusiasm for translational cancer research
- Demonstrated experience in applying bioinformatics methods towards –omic datasets
- Proficiency with scripting (e.g., Perl or Python) and R/Bioconductor
- Experience with next-generation sequencing data and common analysis tools
- Experience with high-performance parallel computing