Bioinfo Engineer II / Computational Research Scientist
Memorial Sloan-Kettering Cancer Center
September 27, 2018
New York, New York
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.
For the 28th year, MSK has been named a top hospital for cancer by U.S. News & World Report. We are proud to be on Becker's Healthcare list as one of the 150 Great Places to Work in Healthcare in 2018, as well as one of Glassdoor's Employees' Choice Best Place to Work for 2018. We're treating cancer, one patient at a time. Join us and make a difference every day.
We are seeking a developer with a creative and analytical mind to join Sloan Kettering Institute's Single Cell Research Initiative (SCRI). The team's goal is to develop cutting-edge algorithms to interpret the flood of data coming emerging single cell technologies to explore questions in tumor heterogeneity, metastasis and tumor immune environment. If you would rather apply your superb programming and analytical skills towards cancer cure, than finance and shopping carts, our dynamic multi-disciplinary team is the place for you.
We collect big biological data, in particular multi-dimensional single cell technologies, such as single cell RNA-sequencing and high-parameter imaging. You will 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 clinical 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 collected from multiple technological modalities, including 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 software tools and algorithms
Bachelors or Master's with 3+ years of programming experience.
Experience with designing large software tools and writing efficient code
Proficient in testing process, with ability to debug and modify code
Analytical, reasoning, mathematical and problem solving skills to develop algorithms.
Advanced knowledge of algorithms and statistics
Knowledge of Python, C and Java
Preferred Qualifications :
PhD. in computational biology
Familiarity with next-gen sequencing data
Familiarity with image analysis and microscopy
MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision.
Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.
Internal Number: 8702128
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.