We are seeking a Computational Biologist/Data Analyst with a creative and analytical mind to join Sloan Kettering Institutes Single Cell Research Initiative (SCRI). The SCRI team accelerates biomedical discovery through the application of state-of-the-art algorithms to single-cell genomics datasets collected from patient data and from advanced mouse and organoid models of cancer. The individual will apply computational methods to the flood of cutting-edge data being generated at SCRI to explore questions of tumor heterogeneity, drug-resistance, tumor stem-cells, mechanism of immunotherapy, the emergence of metastasis and the tumor-immune environment. SCRI bioinformatics is embedded in the group of Dr. Dana Peer, a leader in single-cell data analysis, providing guidance and a highly stimulating intellectual environment for analytical methods development.
You should have a background in human biology with a minimum of some computer science and statistics courses, and you should be excited to learn how to apply sophisticated algorithms to big biological data at one of the top cancer research institutes in the world. Your implementation of processing and visualization algorithms will allow data scientists, biologists and clinicians to interact with and interpret the data. A key focus is the single-cell profiling of patient samples, with the goal of improving immunotherapy and precision medicine. Join us if you are eager to learn and want to make an impact!
Implement, apply, and evaluate methods to process, normalize, organize and visualize single-cell sequencing data.
Provide initial analysis and biological interpretation of data
Develop new methods for single-cell analysis
Prepare Python notebooks for interactive engagement with the data
Provide consultation, guidance and training to research scientists using SCRI tools
Minimum of Bachelors with core biology and computer science courses, or equivalent experience
Analytical, reasoning, statistical, mathematical and problem-solving skills
Excellent ability to communicate with biologists
Familiarity with high-throughput sequencing data
Knowledge of Python or R (preferably Python)
Internal Number: 2020-43348
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.