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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 the field of cancer research and improving patient outcomes. We are seeking a highly motivated and talented Postdoctoral Fellow to join our team in Cancer Data Science.
About the Role:The successful candidate will have the opportunity to work on cutting-edge projects in cancer data science, leveraging advanced computational methods and machine learning techniques to analyze complex biological and medical data. This role will involve collaborating with a dynamic team of researchers and clinicians to develop novel data-driven approaches to cancer research.
Key Responsibilities:- Design and execute research projects that integrate computational methods with cancer biology and medicine.
- Analyze and interpret large-scale datasets, including multi-omics, ex vivo drug screens, patient treatment histories, and spatial profiling of cancer patient tissues.
- Develop and implement novel computational methods to power ambitious collaborative projects with high translational impact.
- Hold a PhD or be near completion of a PhD in a relevant field (e.g., statistics, machine learning, computational biology, data science, computer science, physics, biostatistics, bioinformatics).
- Demonstrated track record of research experience in the fields of statistics, machine learning, computational biology, data science, or related fields.
- No advanced knowledge of biology or medicine is required for applicants with quantitative backgrounds.
Competitive salary and benefits package, including health insurance, retirement plan, and paid time off. Opportunities for professional development and growth within a dynamic and collaborative research environment.
MSK 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.