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Postdoctoral Research Fellow in Cancer Data Science
2 months ago
At Memorial Sloan Kettering Cancer Center, we are committed to advancing our understanding of cancer and developing innovative treatments. As a Postdoctoral Fellow in Cancer Data Science, you will play a key role in our Computational Oncology program, working alongside a dynamic team of researchers to develop novel data science and machine learning methods that address pressing needs in cancer.
Key Responsibilities:
- Develop novel computational methods that power ambitious collaborative projects with high translational impact.
- Collaborate with researchers to design and implement data-driven solutions for cancer research.
- Contribute to the development of new data science and machine learning methods for cancer research.
Requirements:
- Hold a PhD or will soon acquire one.
- Demonstrated track record in statistics, machine learning, computational biology, data science, or related field.
- No advanced knowledge of biology or medicine is required for applicants with quantitative backgrounds.
What We Offer:
- Competitive salaries and benefits.
- Opportunities for professional growth and development.
- A dynamic and collaborative work environment.
How to Apply:
Please submit your application, including your CV and a cover letter, to Dr. Wesley Tansey, Principal Investigator. We are an equal opportunity employer committed to diversity and inclusion in all aspects of recruiting and employment.
