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Postdoctoral Researcher in Computational Genomics and Cancer Data Science
2 months ago
Memorial Sloan Kettering Cancer Center is seeking a highly motivated postdoctoral researcher to join our team in the field of cancer data science and computational genomics. The successful candidate will have a strong background in machine learning and a passion for developing and applying quantitative methods to problems in translational cancer biology.
Key Responsibilities- Develop and apply deep learning and artificial intelligence methods to analyze large-scale datasets
- Work together with clinical and biological scientists to advance and execute hypothesis-driven research
- Prepare and contribute to scientific manuscripts for publication in journals and conferences
- Collaborate with academic partners at other institutions and industry partners in biotech, health data, and big tech
- Ph.D. in Applied Mathematics, Machine Learning, Computational Biology, or Computer Science with emphasis on applications in molecular biology and/or computational pathology
- Strong programming skills in Python and/or R, and experience developing and training state-of-the-art computer vision models using PyTorch for whole-slide image analysis
- Research experience in statistics and computational genomics, and familiarity with next-generation sequencing data and analysis tools
- Excellent oral and written English communication skills, and experience in delivering oral scientific presentations and writing scientific articles
Memorial Sloan Kettering Cancer Center is a world-renowned comprehensive cancer center dedicated to patient care, research, and education. Our team of experts is committed to advancing the understanding and treatment of cancer through innovative research and cutting-edge technology.
What We Offer- Competitive salary and benefits package
- Opportunities for professional growth and development
- Collaborative and dynamic work environment
- Access to state-of-the-art computational infrastructure and unrivaled data resources
If you are a motivated and talented researcher looking to make a meaningful contribution to the field of cancer data science and computational genomics, please submit your application, including your CV, cover letter, and contact information for three professional references.
