The Molecular Diagnostics Laboratory within the Department of Pathology is applying next-generation sequencing techniques to characterize the spectrum of genetic mutations in patient tumors. These genomic data are guiding treatment decisions and the enrollment of patients onto clinical trials of novel targeted therapies.
The Computational Biologist will provide bioinformatics support in the development of next-generation sequencing applications to characterize the spectrum and clinical significance of genetic mutations in human tumors. He/she will develop new and utilize existing software and database systems to track experimental parameters, catalyze technology development, and analyze next-generation sequence data.
Design, develop, and operate computational pipelines for the analysis of next-generation sequencing data.
Analyze data sets to discover and annotate cancer-causing genetic mutations in tumor specimens.
Evaluate performance of novel technology platforms and assays.
Work directly with research groups to analyze biomedical data and address scientific problems with bioinformatics techniques and tools and train researchers in the use of computational and bioinformatics tools
Develop, refine, and improve bioinformatics tools for interpretation of large genomic data sets.
Evaluate and test third party software packages.
Track specimen information, experimental and analysis parameters, performance metrics, and genomic results in databases
Manage and archive large data sets from next-generation sequencing experiments
Participate in the establishment and maintenance of a Laboratory Information Management System (LIMS)
Install and maintain software and data
Maintain detailed records of all analyses
Present results and progress updates at lab meetings and make presentations to experimental and scientific collaborators
Attend seminars, lectures, and training courses to learn new computational biology skills to remain up to date with the cancer genomics field and learn new programming languages or techniques as necessary.
MS in Bioinformatics or related with 0-2 years of related experience preferred. Bachelors Degree with 2-4 years of Next-generation sequencing and cancer genetics experience will be considered.
Cross-disciplinary and strong analytical skills as well as broad experience using computational methods, databases, software and hardware.
Internal Number: 2021-49944
About Memorial Sloan-Kettering Cancer Center
As one of the world's premier cancer centers, Memorial Sloan-Kettering Cancer Center is committed to exceptional patient care, leading-edge research, and superb educational programs. The close collaboration between our physicians and scientists is one of our unique strengths, enabling us to provide patients with the best care available today as we work to discover more effective strategies to prevent, control, and ultimately cure cancer in the future. Our education programs train future physicians and scientists, and the knowledge and experience they gain at Memorial Sloan-Kettering has an impact on cancer treatment and the biomedical research agenda around the world.