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Postdoctoral Researcher in Computational Genomics and Cancer Data Science
2 months ago
We are seeking a highly motivated Postdoctoral Fellow to join our team at Memorial Sloan Kettering Cancer Center. 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 and cancer data science.
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, with experience developing and training state-of-the-art computer vision models
- Research experience in statistics and computational genomics, and familiarity with next-generation sequencing data and analysis tools
- Excellent oral and written English communication skills
- State-of-the-art computational infrastructure and unrivaled data resources
- Opportunity to work with a unique cohort of >100,000 tumors with available genomic sequencing and co-registered digital pathology slides
- Collaborative and dynamic research environment
- Competitive salary and benefits package
If you are a motivated and talented researcher with a passion for computational genomics and cancer data science, please submit your application, including your CV, cover letter, and contact information for three professional references.
