Publisher
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Saint Louis University

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Post Doctoral Fellow, Zhang Lab Saint Louis University in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

Country flag

Country

United States

University

Saint Louis University

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Keywords

Computer Science
Evolutionary Biology
Biology
Structural Biology
Computational Biology
Comparative Genomics
Python Programming
Genomic
Statistics
Bioinformatic
ML

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About this position

The Zhang Lab at Saint Louis University is recruiting a postdoctoral fellow for research at the intersection of bioinformatics, comparative genomics, structural analysis, and machine learning. The position is centered on independent computational research with an emphasis on protein bioinformatics, evolutionary analysis, and structural bioinformatics, alongside the development and application of machine-learning approaches.

The fellow will contribute to manuscript and grant preparation, including efforts to secure external research funding, and will take part in mentoring graduate and undergraduate students. The role also includes presenting findings at national and international scientific conferences and publishing in leading peer-reviewed journals.

This position is embedded in an interdisciplinary research environment at Saint Louis University, a long-established Catholic university with a strong emphasis on research, teaching, and service.

Funding details

Available

What's required

Ph.D. in Bioinformatics, Computational Biology, Biology, Computer Science, or a closely related field with computational training. Demonstrated expertise in one or more of protein bioinformatics, comparative genomics, evolutionary biology, machine learning, or structural bioinformatics. Strong programming skills in Python and proficiency in Unix/Linux environments. A demonstrated record of publications in peer-reviewed journals, excellent written and verbal communication skills, and the ability to work both independently and collaboratively within an interdisciplinary research team are required.

How to apply

Apply through the listed Workday application link. Prepare a strong application that reflects your computational background, publication record, and relevant research experience.

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Prepare your application

Review drafts and confirm requirements with the university.