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.
MSK is seeking a Bioinformatics Software Engineer to join the laboratory of Luis Diaz, Head of the Division of Solid Tumor Oncology. Under supervision of the group leader, will provide support to research projects at the Center by designing, developing, and implementing software tools for processing and analyzing high-throughput next-generation sequencing data. In addition, will provide one-on-one consultation and training to research scientists and bioinformatics and software engineers at the Center in the use of bioinformatics software tools and databases.
Do you want to join an innovative team and contribute to cancer research? Are you creative and want to solve meaningful problems? Then join us here at MSK, where we can provide you with the opportunity to do all of those things! This is a great role for someone who has the right skills, who wants to be part of a dynamic team and wants to learn how to apply their skills to support our mission here.
Train researchers in the use of computational and bioinformatics tools and develop training module
To be considered for Bioinformatics Software Engineer III, you need:
To be considered for Bioinformatics Software Engineer IV, you need:
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.
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