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Postdoctoral Research Fellow in Cancer Data Science

2 months ago


New York, New York, United States Memorial Sloan Kettering Cancer Center Full time
Job Title:

Postdoctoral Fellow, Cancer Data Science

Company Overview:

Memorial Sloan Kettering Cancer Center (MSK) is a world-renowned comprehensive cancer center dedicated to patient care, research, and education. Our mission is to end cancer for life, and we are committed to training the next generation of scientists and clinicians to pursue this mission.

Job Description:

We are seeking a highly motivated Postdoctoral Fellow to join our dynamic team in Computational Oncology. The successful candidate will work closely with our research scientists to develop novel data science and machine learning methods that address pressing needs in cancer research.

The ideal candidate will have a strong background in statistics, machine learning, or computational biology, and a demonstrated track record of research in these fields. No advanced knowledge of biology or medicine is required, but a willingness to learn and collaborate with our team is essential.

As a Postdoctoral Fellow, you will have the opportunity to work on ambitious collaborative projects with high translational impact, execute multiple projects involving analysis of complex biological and medical data, and develop novel computational methods to power these projects.

Key Qualifications:
  • Hold a PhD or will soon acquire one
  • Demonstrated track record of research in statistics, machine learning, or computational biology
  • No advanced knowledge of biology or medicine required
What We Offer:

MSK provides a competitive salary, benefits, and a supportive environment for the development of postdocs. We are committed to diversity and inclusion and welcome applications from underrepresented groups.

How to Apply:

To apply, please submit a CV, cover letter, career statement, and contact information for two references. If you have any questions, please contact Dr. Wesley Tansey, Principal Investigator.