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Postdoctoral Fellow in Statistical and Machine Learning Methods for Omics and Single-Cell Data Fred Hutchinson Cancer Center in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Postdoctoral fellow position at Fred Hutch; funding details are not specified in the post.
Country
United States
University
Fred Hutch Cancer Center

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About this position
The Kuznets-Speck Lab at Fred Hutchinson Cancer Center is hiring a Postdoctoral Fellow to develop statistical and machine learning methods for omics and single-cell data.
This is an interdisciplinary research opportunity in the Biostatistics Program at Fred Hutch, with strong mentorship and a hybrid work option mentioned in the post. The role is well suited to candidates interested in modern data science methods for biomedical research, especially in high-dimensional biological datasets.
Research areas: biostatistics, statistical learning, machine learning, omics, single-cell analysis, data science, biomedical research.
Institution: Fred Hutchinson Cancer Center, Seattle, Washington, United States.
Position level: Postdoctoral Fellow.
Application: Apply via the careers link provided in the post. No deadline was stated.
Funding details
Postdoctoral fellow position at Fred Hutch; funding details are not specified in the post.
What's required
Applicants should have strong skills in statistical and machine learning methods, with interest in omics and single-cell data. The post emphasizes interdisciplinary work and suggests a hybrid work option. A PhD is implied by the postdoctoral level.
How to apply
Apply through the Fred Hutch careers portal using the posted job link. Review the job description and submit an application online.
More information can be found here
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