Postdoctoral Associate- Dr. Yanjun Li Lab

Postdoctoral Associate

A recent Ph.D. degree or equivalent international degree in computer science, computational chemistry, electrical and computer engineering, data science, informatics, biomedical engineering, or a related field.

A Postdoctoral Associate position in AI-driven drug discovery and/or computational chemistry is available in the lab of Dr. Yanjun Li in the Department of Medicinal Chemistry or Department of Computer and Information Science and Engineering at the University of Florida. The postdoctoral associate will work both independently and collaboratively to develop and apply novel deep learning algorithms and/or computational chemistry methods for small-molecule drug discovery targeting RNA or proteins. More details can be found: https://yanjun-li.com.html. Additional duties of the role will include, but are not limited to:

• Leading the development and optimization of the AI and/or computational chemistry algorithms for molecule design and optimization, and molecular interaction modeling;
• Supporting computational modeling and data analysis for the ongoing research studies;
• Preparing and writing research papers, presentations, grant proposals, etc.;
• Effectively coordinating research progresses with other members of a multi-faculty team regularly;

Commensurate with Education and Experience 

• Health Insurance: UF participates in state- and university-sponsored benefits programs for individuals, families and domestic partners, and offers voluntary insurance that includes vision, dental, long-term disability and more.
• Retirement Options: You may be eligible to participate in the FICA Alternative Plan and other deferred retirement plans.
• Leave: Full-time post-doctoral associates earn paid leave bi-weekly.
• To learn more visit: hr.ufl.edu/benefits

A recent Ph.D. degree or equivalent international degree in computer science, computational chemistry, electrical and computer engineering, data science, informatics, biomedical engineering, or a related field.

• Demonstrated expertise in AI-driven drug discovery, machine and deep learning, computational chemistry, computational biology, or bioinformatics research
• Self-motivation and independence
• Strong written and oral communication skills
• Being able to multi-task with multiple projects and keep pace in a dynamic research environment.

To be considered, you must upload your cover letter, resume, and list of three professional references.

As a part of our review for research and research support positions, we look for a full CV which includes all professional appointments/engagements, all post-secondary education, and all publications from post-secondary education and all respective dates. Please be sure to not use acronyms in your CV. This CV should include names of entities associated with any projects.

Application must be submitted by 11:55 p.m. (ET) of the posting end date.