Publisher
source

National Cancer Institute

Postdoctoral Fellow in Tumor Evolution and Intratumor Heterogeneity National Cancer Institute, National Institutes of Health in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available
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Country

United States

University

National Cancer Institute

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Keywords

Computer Science
Machine Learning
Biology
Single-cell Analysis
Medical Science
Reinforcement Learning
Omics
Epigenetic
Genomic
Statistics
Transcriptomic

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About this position

Multiple postdoctoral fellowship positions are available in the Cancer Data Science Laboratory at the National Cancer Institute / National Institutes of Health in Bethesda, Maryland, United States.

The lab seeks researchers to develop algorithms and machine-learning methods for tumor evolution, intratumor heterogeneity, tumor–immune interactions, and analysis of emerging data platforms including single-cell WGS/RNA-seq, long reads, spatial genomics/transcriptomics, and epigenomics with emphasis on methylation.

Relevant academic keywords include genomics, transcriptomics, epigenomics, cancer evolution, structural variation, optimization, reinforcement learning, transformers, and multi-omics integration at scale.

Eligibility: Ph.D. or equivalent required. Strong backgrounds in algorithms, AI/ML, single-cell sequencing, long-read technologies, spatial and single-cell genomics, transcriptomics, epigenomics, tumor evolution, and intratumor heterogeneity are desired. Combinatorial optimization and reinforcement learning are preferred.

Funding: Training position with a starting stipend of $67,200. The role is full-time and in-person, with access to NIH clinical and translational resources.

How to apply: Submit a CV/resume and cover letter via the CCR careers posting. The contact person listed is S. Cenk Sahinalp ([email protected]).

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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