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.
Do you want to join an innovative team and contribute to cancer research? Are you creative and interested in solving meaningful problems? Then join us here at MSK, where we can provide you with the opportunity to make a difference with your career. We believe that this is a great role for someone who has the right background to be a part of our dynamic team and who wants to apply their skills to support our mission here.
The Center for Molecular Oncology at MSKCC is searching for extraordinary computational data scientists with an interest in developing and applying bioinformatic/quantitative methods to problems in translational cancer biology. You should have a proven background in both bioinformatics and cancer biology to lead and assist in the development of a state-of-the-art genomics analysis platform. You will interact with investigators with expertise in computational biology, translational therapeutics, and molecular pathology among others. The focus of this research work is the integrative analysis of high throughput genomic data, and work with computational and laboratory-based investigators. The goal is to identify the mutational programs and pathways implicated in disease and treatment response phenotypes and to identify novel therapeutic targets. Projects focus on population-scale clinical genomics; Immunogenomics; high-throughput characterization of cell-free DNA; intra-tumoral and inter-patient heterogeneity; integration of somatic and germline genomics; machine-learning and data science-focused methodologies; and many others. The best suited candidate will have a focus on and dedication to translational science, be a creative thinker, extraordinary communicator, enjoy working with an interdisciplinary team, and bring intellectual and analytical rigor to their work.
To be considered for a Computational Biologist II, you need:
To be considered for a Sr. Computational Biologist, 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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