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 Computational Oncology Service in the Department of Epidemiology and Biostatistics.
Working in a team, the Bioinformatics Software Engineer will develop software to support leading edge, large scale research efforts in computational oncology including genomics, imaging and clinical data analysis and interpretation. Motivated by contributing meaningfully to contemporary progress in cancer research driven by advances in computing and data, we are seeking talented, highly skilled engineers with experience developing robust, enterprise level contemporary software systems. We are recruiting developers in three key areas: data analysis workflows in high performance computing systems (including cloud), database engineering, and data visualization. The Bioinformatics Software Engineer will employ software development best practices in a small team-based setting, contributing to software design, implementation, testing, and documentation.
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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