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Postdoctoral Associate- AI-driven Drug Discovery

Employer
University of Florida
Location
Gainesville
View more categoriesView less categories
Position Type
Postdoc
Employment Type
Full Time
Institution Type
Four-Year Institution


Postdoctoral Associate- AI-driven Drug Discovery

Job No: 533236
Work Type: Post Doc Associate
Location: Main Campus (Gainesville, FL)
Categories: Artificial Intelligence
Department: 32030000 - PH-MEDICINAL CHEMISTRY

Job Description


Classification Title:

Postdoctoral Associate

Job Description:

The Postdoctoral associate will work independently and collaboratively to develop novel deep learning algorithms for molecule design and optimization, molecular interaction modeling, and precision medicine. More details can be found: https://yanjun-li.com/openings.html. Additional duties of the role will include, but are not limited to:
  • Leading the development and optimization of the AI algorithms for protein- and RNA-targeted drug discovery;
  • Supporting the AI 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;
  • Mentoring undergraduate and graduate students;
  • Performing routine lab maintenance and daily lab duties.

The University of Florida College of Pharmacy values the benefit of having a team that
consists of diverse talents, skills, strengths, points of view and experiences. The college
is committed to cultivating an environment where everyone is respected for their
intrinsic value, and developing the next generation of clinicians and scientists who will
positively impact the health of others. We're committed to creating a working
environment where everyone can be heard and recognized for their contributions. In
recognition of such efforts, the College of Pharmacy is the 3-time recipient of the Insight
into Diversity Health Professions Higher Education Excellence in Diversity Award.

Expected Salary:

Commensurate with education and experience.

Employment Benefits include:
  • 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


Minimum Requirements:

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

Preferred Qualifications:
  • Demonstrated expertise in AI-driven drug discovery, machine and deep learning, 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.


Special Instructions to Applicants:

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.

This position is in-person and is not eligible for remote work.

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

Health Assessment Required:
No



Applications Close: Open until filled

To apply, visit https://explore.jobs.ufl.edu/en-us/job/533236/postdoctoral-associate-aidriven-drug-discovery

The University is committed to non-discrimination with respect to race, creed, color, religion, age, disability, sex, sexual orientation, gender identity and expression, marital status, national origin, political opinions or affiliations, genetic information and veteran status in all aspects of employment including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training.









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