Open June 15th, 2022 through Wednesday, Nov 30, 2022 at 11:59pm (Pacific Time)
We seek a project scientist with substantial experience using computer aided drug (CADD) design techniques to guide library screening and lead optimization efforts. The ideal candidate will have ample experience with diverse tools in a pharmaceutical industry context or similar, with a thorough understanding of the available methods and their pros and cons, as well as experience interacting with both academic and industry collaborators in a discovery setting. In this position, the project scientist will engage in modeling efforts to guide ongoing screening and lead optimization work, as well as engaging with graduate student and postdoctoral researchers in participating computational labs to help them engage in ongoing modeling efforts and bring new techniques to bear in screening.
In this role, the project scientist will provide a hub or bridge between different experimental efforts and available computational resources, both those the project scientist can provide through their own expertise and skill, and those available elsewhere on campus, such as in the Mobley lab. The project scientist will work under the oversight of Dr. Mobley but engage frequently (ideally sharing space with and continually engaging with) the participating experimental groups to provide ongoing modeling guidance to discovery projects, with the goal of tightly integrating modeling and experiment.
A candidate should have experience with diverse technologies and tools in the CADD space, including:
● Virtual screening techniques (fingerprinting, docking, shape-based, pharmacophore modeling, etc.)
● Tools for guiding lead optimization, including potentially molecular dynamics simulations, binding free energy calculations, QSAR modeling, etc.
● Substantial skill with structure-based design, including ample experience preparing/validating protein structures for modeling, assessing/assigning protonation states, building in missing residues/loops, etc.
● Experience with building/using homology models
● Experience working with medicinal chemists and considering synthetic accessibility and metabolic issues would be a significant plus
Other qualifications include:
● Excellent Python skills
● Scientific software development experience
● Familiarity with open source software development, continuous integration testing, etc.
● Experience with git and version control systems, e.g. including GitHub
● Experience working with both academic and vendor-supported software
● Comfortable working with diverse high performance computing resources and queueing systems in a Linux-based environment
● Comfortable using, and building workflows with, diverse software types including GUI-based, command-line-based and API-based frameworks.
To apply, please log into: UCI Recruit: https://recruit.ap.uci.edu/JPF07576
PhD or MD/PhD
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Statement of Research
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The University of California, Irvine is an Equal Opportunity/Affirmative Action Employer advancing inclusive excellence. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories covered by the UC nondiscrimination policy.