Publisher
source

Fred Hutch Cancer Center

Postdoctoral Research Fellow in Biostatistics, Genomics, AI, and Statistical Physics Fred Hutchinson Cancer Center in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Postdoctoral research fellow position at Fred Hutch; funding details, salary, and benefits are not stated in the post. Hybrid arrangement with time on campus and remotely.

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Country

United States

University

Fred Hutch Cancer Center

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Keywords

Computer Science
Cancer Biology
Biostatistics
Biology
Artificial Intelligence
Medical Science
Statistical Mechanics
Genomic
Statistics
ML

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About this position

Fred Hutch’s Biostatistics Program is hiring a Postdoctoral Research Fellow with the Kuznets-Speck Lab, led by Ben Kuznets-Speck. The role focuses on developing statistical and machine learning methods to understand biological function from omics data.

The research sits at the intersection of biostatistics, genomics, AI, and statistical physics. Core topics include how cells respond to perturbations, how gene programs and regulatory networks are organized, and how cells transition between states. Applications mentioned include cancer biology and single-cell genomics.

The fellow will have room to shape independent research directions and will receive mentorship in research, scientific communication, grant writing, and career development. The position is described as hybrid, with time on campus and remotely.

This is a strong fit for candidates interested in quantitative biology, computational genomics, and method development for complex biological systems. The post links to the Fred Hutch careers page for full details and application instructions.

Funding details

Postdoctoral research fellow position at Fred Hutch; funding details, salary, and benefits are not stated in the post. Hybrid arrangement with time on campus and remotely.

What's required

PhD-level training suitable for a postdoctoral research fellow role in biostatistics, statistics, machine learning, genomics, or a closely related quantitative field. Interest in biological function from omics data, cancer biology, and single-cell genomics is relevant. The post emphasizes independent research, scientific communication, grant writing, and career development.

How to apply

Review the linked Fred Hutch careers posting and submit an application through the careers portal. Use the provided application link to learn more about the role and apply.

More information can be found here

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