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Postdoctoral Fellow in Computational Oncology
2 months ago
We are seeking a highly motivated Postdoctoral Fellow to join our dynamic team in Computational Oncology at Memorial Sloan Kettering Cancer Center. As a Postdoctoral Fellow, you will have the opportunity to work on cutting-edge research projects that aim to develop novel data science and machine learning methods to address pressing needs in cancer.
Key Responsibilities- Drive key research questions that crosscut the themes of bayesian statistics, graphical models, causal inference, active learning, spatial modeling, and deep generative models.
- Execute multiple projects that will involve analysis of complex biological and medical data, including multi-omics, ex vivo drug screens, patient treatment histories, and spatial profiling of cancer patient tissues.
- Develop novel computational methods that power ambitious collaborative projects with high translational impact.
- Hold a PhD or will soon acquire one.
- Demonstrated track record of research in the fields of statistics, machine learning, computational biology, data science, or related fields (computer science, physics, biostatistics, bioinformatics).
- No advanced knowledge of biology or medicine is required for applicants with quantitative backgrounds.
- Competitive salary and benefits package.
- Opportunity to work with a dynamic and collaborative team.
- Access to state-of-the-art computational resources and facilities.
Please submit your application, including a CV, cover letter, career statement, and contact information for two references.