25.09.21 Postdoctoral Position in Computational Biology

The Computational Chemistry List; Independence (KS); On-site; USD 50,000 - 70,000; Full time

Job summary

A leading research institution is seeking a highly motivated postdoctoral candidate to develop biophysical and machine learning models for RNA-targeted drug discovery. The ideal candidate holds a PhD in a relevant field and has strong computational and programming skills. The position offers an opportunity to contribute to cutting-edge research in RNA structure prediction.

Qualifications

• A PhD in Bioinformatics or related field is required.
• Strong computational skills with programming knowledge.
• Familiarity with machine learning techniques essential.

Responsibilities

• Develop biophysical models for RNA-targeted drug discovery.
• Create machine learning models for RNA structure prediction.

Skills

Computational studies

Programming proficiency

Machine learning techniques

Education

PhD in Bioinformatics, Data Science, Physics, Chemistry, or a related field

Job description

Overview

The Chen Lab, in the Departments of Physics and Biochemistry and the Institute for Data Science and Informatics at the University of Missouri-Columbia, is seeking highly motivated candidates to fill a postdoctoral position. The primary focus of the position is to develop biophysical and machine learning models for RNA-targeted drug discovery and RNA structure prediction.

Qualifications

• A PhD in Bioinformatics, Data Science, Physics, Chemistry, or a related field.
• Demonstrated strength in computational studies with proficiency in programming.
• Demonstrated familiarity with machine learning techniques.

How to apply

Interested applicants should send a CV to Prof. Shi-Jie Chen at mol.dyn5+*+gmail.com. Only applications submitted to the above email address will be considered and acknowledged.