We are seeking a creative developer with a strong statistics and machine learning background to join Sloan Kettering Institutes Single Cell Research Initiative (SCRI). The teams goal is to develop cutting-edge algorithms to interpret the flood of data emerging from single-cell technologies in order to explore questions in tumor heterogeneity, metastasis and the tumor-immune environment. If you would rather apply your superb programming and analytical skills towards a cancer cure than to finance and shopping carts, our dynamic multi-disciplinary team is the place for you.
SCRI is directed by computational biologist Dr. Dana Peer, a pioneer with a strong track record of developing new conceptual approaches and widely used tools in the single-cell analysis field. We collect big biological data, primarily from multi-dimensional single-cell technologies such as single-cell RNA sequencing and high-parameter imaging. You will develop and implement algorithms that process, integrate and visualize the multiple data types, allowing 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 can think innovatively and want to make an impact!
As a Bioinformatics Software Engineer, you will:
Design and develop algorithms and software to process, normalize, organize, visualize and interpret data from multiple modalities, including from single-cell and imaging technologies
Design and implement novel machine learning algorithms to integrate genomics data collected from clinical cohorts
Implement new features, maintain and test existing SCRI code infrastructure
Evaluate and compare best practices for processing and analyzing different data types
Provide consultation, guidance and training to research scientists using SCRI tools
Bachelors or Masters degree with strong machine learning or stats components, and 3+ years of programming experience, or PhD in math, physics or computer science; OR equivalent experience
Bioinformatics/ Genomics experience and familiarity with common concepts, terminologies and software currently used in the field
Experience designing large software tools and writing efficient code
Proficiency in the testing process; ability to debug and modify code and use Git workflows
Analytical, reasoning, mathematical and problem-solving skills to develop algorithms
Advanced knowledge of algorithms and statistics
Proficiencyin Python (including building distributablePython modules)
Proficiency working in cloud and HPC environments
Internal Number: 2019-37072
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.