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Ed Reznik

4 weeks ago

Postdoctoral Position in Computational Immuno-Oncology and Cancer Therapy Toxicity Memorial Sloan Kettering Cancer Center in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Postdoctoral position; funding details, stipend, and benefits are not specified in the post.

Country flag

Country

United States

University

Memorial Sloan Kettering Cancer Center

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Keywords

Computer Science
Biomedical Engineering
Biology
Medical Science
Cancer Metabolism
computational cancer biology
Postdoc pos

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About this position

Memorial Sloan Kettering Cancer Center is hiring a postdoctoral fellow to study toxicity to cancer therapy using rich, heterogeneous, and unprecedented multimodal data. The work sits at the intersection of computational immuno-oncology, cancer biology, and data-driven analysis, with a strong emphasis on developing scientific approaches to understand treatment toxicity and response.

The post is shared by Ed Reznik, who notes a research focus on metabolism in cancer and links to his publications. This suggests the role is likely embedded in a computational cancer research environment with opportunities to work on complex biomedical datasets and translational questions relevant to oncology.

This is a postdoctoral opening at Memorial Sloan Kettering Cancer Center in the United States. The post does not mention a deadline, stipend, or specific eligibility constraints, but it clearly targets candidates with interest in computational methods, multimodal biomedical data, and cancer therapy research.

To apply, follow the LinkedIn job link shared in the post and review the full job description there.

Funding details

Postdoctoral position; funding details, stipend, and benefits are not specified in the post.

What's required

Applicants should be interested in studying toxicity to cancer therapy using rich, heterogeneous, multimodal data and computational approaches. The post implies strong quantitative/computational research skills and interest in cancer biology or immuno-oncology.

How to apply

Apply via the LinkedIn job posting linked in the post. Review the position details and submit an application through the employer's application portal.

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Professors

Professor

University Name
Country flag

United States

Research Interests

Biomedical Engineering

Computer Science

Medical Science

Computational Cancer Biology

Cancer Metabolism