Postdoctoral Research Fellow in Cancer Data Science

7 days ago


New York, New York, United States Memorial Sloan Kettering Cancer Center Full time
Exciting Opportunity at Memorial Sloan Kettering Cancer Center

We are seeking a highly motivated Postdoctoral Fellow to join our dynamic team in Computational Oncology at Memorial Sloan Kettering Cancer Center. Our lab focuses on developing novel data science and machine learning methods to address pressing needs in cancer research.

Key Responsibilities:
  • Develop novel computational methods to power ambitious collaborative projects with high translational impact.
  • Collaborate with our team of experts in statistics, machine learning, and computational biology to advance our research goals.
  • Contribute to the development of new data science and machine learning methods to address pressing needs in cancer research.
Requirements:
  • Hold a PhD or be near completion of a PhD in a relevant field (statistics, machine learning, computational biology, data science, or related field).
  • Demonstrated track record of research in statistics, machine learning, computational biology, data science, or related field.
  • No advanced knowledge of biology or medicine is required for applicants with quantitative backgrounds.
What We Offer:
  • Competitive salary and benefits package.
  • Opportunity to work with a dynamic and collaborative team of experts in computational oncology.
  • Access to state-of-the-art computational resources and facilities.

Memorial Sloan Kettering Cancer Center 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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