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Research Scientist in Cancer Metabolism
2 months ago
We are seeking a highly motivated and talented Postdoctoral Research Fellow to join our team at Memorial Sloan Kettering Cancer Center in New York. As a member of the Reznik Laboratory for Computational Cancer Metabolism, you will be part of a dynamic and collaborative group of computational scientists investigating basic and translational problems at the interface of cancer genomics, tumor metabolism, and systemic physiology with multimodal datasets.
Key Responsibilities:
- Lead new and highly collaborative projects bridging the gap between the physiology of the patient and the metabolism of the tumor using large-scale, heterogeneous genetic, metabolic, and clinical data.
- Contribute to the development of novel computational methods and tools for cancer genomics and metabolomics.
- Collaborate with clinicians and researchers to design and implement studies to investigate cancer metabolism and its impact on patient outcomes.
Requirements:
- PhD in a computational or quantitative discipline, including but not limited to computational biology, bioengineering, computer science, physics, or bioinformatics.
- Research background in cancer genomics is preferred but not necessary.
What We Offer:
- Competitive salary range: $55,439 – $100,094.
- Opportunity to work with a diverse group of quantitative geneticists, genomicists, and machine learners embedded in the Computational Oncology Service.
- Access to state-of-the-art computational resources and collaborative environment.
How to Apply:
Please submit your application, including a cover letter, curriculum vitae, and the names and contact information for 3 references, to Tiffany Trafalgar and Ed Reznik. Learn more about the Reznik Lab and the Computational Oncology Service at https://reznik- and https://
