The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursue our mission at MSK and around the globe. One of the world’s most respected comprehensive centers devoted exclusively to cancer, we have been recognized as one of the top two cancer hospitals in the country by U.S. News & World Report for more than 30 years.
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The Clinical Genetics Research is seeking a highly motivated and successful individual with a background in large scale genotyping data analyses. The successful candidate will lead NIH supported projects such as large multi-institutional exome sequencing to identify susceptibility genes to myeloma and lymphoma. The lab has a track record of discovering novel genes contributing to cancer susceptibility. We also developed computational algorithms that predict pathogenicity from NGS data. The position calls for collaborative research within consortia and to assume lead role in more than one project. More information is provided here: (https://www.mskcc.org/research-areas/labs/kenneth-offit/computational-genetics-fellow).
The ideal candidate should have:
Please send CV, a letter outlining your interest and names/contact information of three references via email to:
Vijai Joseph PhD
Associate Attending Geneticist
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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