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Postdoctoral Research Fellow in Cancer Data Science
2 months ago
The Tansey lab is seeking a highly motivated Postdoctoral Fellow to join a dynamic and collaborative program in Computational Oncology. Our research focuses on developing novel data science and machine learning methods to address pressing needs in cancer. We are committed to supporting underrepresented groups in biomedical sciences and encourage applications from exceptional candidates.
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 involving 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 to power ambitious collaborative projects with high translational impact.
Requirements
- Hold a PhD or be near completion.
- Demonstrated track record of research in statistics, machine learning, computational biology, data science, or related fields.
- No advanced knowledge of biology or medicine is required for applicants with quantitative backgrounds.
What We Offer
Competitive salary and benefits package, strong support for professional development, and a dynamic research environment.
How 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 at [insert email].
About Memorial Sloan Kettering
Memorial Sloan Kettering Cancer Center is a world-renowned comprehensive cancer center dedicated to patient care, research, and education. We are committed to ending cancer for life and strive to create a diverse and inclusive environment for our patients, employees, and partners.
