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Postdoctoral Researcher in Computational Genomics and Cancer Data Science
2 months ago
We are seeking a highly motivated and talented postdoctoral researcher to join our team in the field of computational genomics and cancer data science. As a postdoctoral fellow, you will have the opportunity to work with a dynamic team of researchers and clinicians to develop and apply cutting-edge computational methods to analyze large-scale datasets in cancer biology.
Key Responsibilities:- Develop and apply deep learning and artificial intelligence methods to analyze large-scale datasets in cancer biology
- Work together with clinical and biological scientists to advance and execute hypothesis-driven research
- Prepare and contribute to scientific manuscripts for publication in top-tier journals and conferences
- Collaborate with academic partners at other institutions and industry partners in biotech, health data, and big tech
- Engage with a vibrant community of researchers by presenting at internal work-in-progress meetings and external scientific conferences
- 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 using PyTorch
- Research experience in statistics and computational genomics, and familiarity with next-generation sequencing data and analysis tools
- Excellent oral and written English communication skills, with experience in delivering oral scientific presentations and writing scientific articles
- Competitive salary range: $55,439 – 100,940
- Subsidized housing close to the MSK campus
- Opportunity to work with a dynamic team of researchers and clinicians
- Access to state-of-the-art computational infrastructure and unrivaled data resources
Memorial Sloan Kettering Cancer Center is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status, or any other factor which cannot lawfully be used as a basis for an employment decision.
