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The aim of the UFGI is to promote excellence in the areas of genetics and genomics at the University of Florida by: (1) building community, facilitating collaboration and creating opportunities for intellectual exchanges among investigators working in diverse taxonomic systems but with a common set of approaches in genetics and genomics, (2) supporting recruitment and retention of outstanding faculty in the areas of genetic and genomics, (3) supporting graduate education in the areas of genetics and genomics and (4) enhancing the ability of researchers at the University of Florida to compete for multidisciplinary research grants in the area of genetics and genomics. Their work appeared in a vast array of prestigious, interdisciplinary journals comprising Nature, Science, New England Journal of Medicine, Journal of Clinical Oncology, Nature Medicine, Nature Reviews Molecular Cell Biology, Nature Biotechnology, Nature Reviews Genetics, and Proceedings of the National Academy of Sciences.

YEAR

AI for the University of Florida Genetics InstituteThe University of Florida (UF) is embarking on a campus-wide strategic initiative to hire clusters of faculty members with expertise in Artificial Intelligence (AI), broadly defined. As part of this initiative, the Genetics Institute (UFGI) in partnership with the UF College of Pharmacy is seeking qualified applicants for a non-tenure track faculty position focusing on applying chemical genomic/medicinal chemistry methodologies to nuclear hormone receptors as well as other target classes (via interaction with the Center for Natural Products, Drug Discovery and Development) with utilization of AI /structure-based drug design. Individuals in this position would also be expected to teach in the College of Pharmacy PharmD/PhD curriculum (<25% effort).This position will be filled at the Assistant or Associate faculty level in the UFGI. Ranking is commensurate with education and experience.<table><tbody><tr><th>Classification Title:</th><td><p>RES AST/ASO PROF</p></td></tr><tr><th><p> </p><p> </p><p> </p><p> </p><p> </p><p> </p><br/><p> </p><p> </p><p> </p><p>Job Description:</p><p> </p><p> </p><p> </p><p> </p><p> </p><p> </p><p> </p><p> </p><p> </p><p> </p><p> </p></th><td><p><strong>AI for the University of Florida Genetics Institute</strong></p><p>The University of Florida (UF) is embarking on a campus-wide strategic initiative to hire clusters of faculty members with expertise in Artificial Intelligence (AI), broadly defined. As part of this initiative, the Genetics Institute (UFGI) in partnership with the UF College of Pharmacy is seeking qualified applicants for a non-tenure track faculty position focusing on applying chemical genomic/medicinal chemistry methodologies to nuclear hormone receptors as well as other target classes (via interaction with the Center for Natural Products, Drug Discovery and Development) with utilization of AI /structure-based drug design. Individuals in this position would also be expected to teach in the College of Pharmacy PharmD/PhD curriculum (<25% effort).</p><p>This position will be filled at the Assistant or Associate faculty level in the UFGI.</p><p><strong>About the UF Genetics Institute and the University of Florida</strong></p><p>The aim of the UFGI is to promote excellence in the areas of genetics and genomics at the University of Florida by: (1) building community, facilitating collaboration and creating opportunities for intellectual exchanges among investigators working in diverse taxonomic systems but with a common set of approaches in genetics and genomics, (2) supporting recruitment and retention of outstanding faculty in the areas of genetic and genomics, (3) supporting graduate education in the areas of genetics and genomics and (4) enhancing the ability of researchers at the University of Florida to compete for multidisciplinary research grants in the area of genetics and genomics.</p><p>The Genetics Institute welcomed 5 new faculty members from 3 different colleges at UF in 2021. The 195-member faculty of the UFGI now represent seven colleges and 51 academic departments as well as the libraries and the Florida Museum of Natural History. During 2020/2021, UFGI investigators secured $92.2 million in sponsored research support, filed 69 US patents, and published 807 scholarly articles. Their work appeared in a vast array of prestigious, interdisciplinary journals comprising Nature, Science, New England Journal of Medicine, Journal of Clinical Oncology, Nature Medicine, Nature Reviews Molecular Cell Biology, Nature Biotechnology, Nature Reviews Genetics, and Proceedings of the National Academy of Sciences.</p></td></tr><tr><th>Expected Salary:</th><td><p>Expected salary range for this position is $70,000-$130,000 and negotiable commensurate with experience.</p></td></tr><tr><th>Minimum Requirements:</th><td><p>Successful candidates should have a Ph.D. and significant experience in synthetic medicinal chemistry. The candidate is also expected to have experience developing ligands targeting nuclear receptors. Proficiency applying machine learning and AI algorithms to such drug discovery is required.</p></td></tr><tr><th>Preferred Qualifications:</th><td>Pharmaceutical industry experience as well as experience teaching medicinal chemistry.</td></tr><tr><th>Special Instructions to Applicants:</th><td><p>Interested applicants must apply online.  Applicants must submit (1) cover letter; (2) full CV, including list of peer-reviewed publications and grants received; (3) research statement; (4) education, mentorship and outreach statement and (5) names and email addresses of a minimum of 3 professional references (do not send letters). </p><p>For inquiries concerning this position, contact Dr. Isabelle Cote, Search Chair.</p><p>________________________________________________________________________</p><p>Final candidate will be required to provide official transcript to the hiring department upon hire.  A transcript will not be considered “official” if a designation of “Issued to Student” is visible.  Degrees earned from an education institution outside of the United States are required to be evaluated by a professional credentialing service provider approved by National Association of Credential Evaluation Services (NACES), which can be found at <a href="http://www.naces.org/" rel="nofollow">http://www.naces.org/</a>.</p><p>University of Florida is a member of the State University System of Florida and an Equal Opportunity Employer. All qualified applicants will receive consideration for employment based on merit.</p><p>If an accommodation due to a disability is needed to apply for this position, please call 352/392-2477 or the Florida Relay System at 800/955-8771 (TDD). Hiring is contingent upon eligibility to work in the US. Searches are conducted in accordance with Florida's Sunshine Law.</p><p>Review of applications will begin on November 10, 2022, and will continue until the position is filled.</p><p>AI@UF</p></td></tr><tr><th>Health Assessment Required:</th><td>No</td></tr></tbody></table><p> </p>

University of Florida

Research Assistant/Associate Professor

They will be an active member of a scientific group that develops and prototypes novel AI algorithms for impactful drug discovery problems involving sequence and structure modeling for protein, RNA, or small molecule. Be an active member of a scientific group that develops and prototypes novel AI algorithms for impactful drug discovery problems involving sequence and structure modeling for protein, RNA, or small molecule.

HOUR

The OPS Research Assistant in AI-driven Drug Discovery will work in the lab of Dr. Yanjun Li in the College of Pharmacy's Medicinal Chemistry department. They will be an active member of a scientific group that develops and prototypes novel AI algorithms for impactful drug discovery problems involving sequence and structure modeling for protein, RNA, or small molecule.This position is in-person and is not eligible for remote work.<table><tbody><tr><th>Classification Title:</th><td><p>OPS Research Assistant - AI-driven Drug Discovery</p></td></tr><tr><th>Job Description:</th><td><p>The OPS Research Assistant in AI-driven Drug Discovery will work in the lab of Dr. Yanjun Li in the College of Pharmacy's Medicinal Chemistry department.</p><p><strong>Job Description:</strong></p><ul><li>Be an active member of a scientific group that develops and prototypes novel AI algorithms for impactful drug discovery problems involving sequence and structure modeling for protein, RNA, or small molecule.</li><li>Apply computational techniques, data analysis, and visualization methods for ongoing studies.</li><li>Train and validate large deep learning models at scale.</li><li>Develop optimized data pipelines to fuel deep learning models, and maximize the value of public and proprietary data assets.</li><li>Collaborate closely with PI, research assistants, computational biologists, experimental biologists, and chemists on research projects and scientific papers.</li></ul></td></tr><tr><th>Expected Salary:</th><td><p>Starting at $15/hour; Commensurate with education and experience</p><div><strong>Employment Benefits include:</strong></div><div> </div><div>Health Insurance: UF participates in state-sponsored benefits programs for individuals, families and domestic partners, and offers voluntary insurance that includes vision, dental, long-term disability and more. OPS employees are eligible for state benefits if your FTE is 0.75 (30 hours per week) or greater.</div><div> </div><div>Retirement Options: The Federal Insurance Contributions Act (FICA) Alternative Plan is a mandatory retirement savings plan under Internal Revenue Code section 401(a) with Fidelity Investments and is required for eligible OPS employees. You may also voluntarily participate in other retirement saving plans.</div><div> </div><div>To learn more visit: hr.ufl.edu/benefits</div></td></tr><tr><th>Minimum Requirements:</th><td><p>Bachelor's or Master's degree in computer science, electronic engineering, bioinformatics, computational biology, computational chemistry, statistics, data science, or related disciplines.</p></td></tr><tr><th>Preferred Qualifications:</th><td><ul><li>Interests in AI-driven drug discovery, deep learning research, and self-motivated.</li><li>Solid Math/Statistics and coding skills in Python/R, PyTorch, and TensorFlow.</li><li>Demonstrated research experience in the deep learning and computational biology field.</li><li>Good written and oral communication skills. Proactive, perseverant, and eager to learn.</li><li>Ability to manage time efficiently and meet deadlines.</li></ul></td></tr><tr><th>Special Instructions to Applicants:</th><td><p>To be considered, you must upload your cover letter, resume, and list of three professional references.</p><p>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.</p><p>This position is in-person and is not eligible for remote work.</p><p>Review of applications will begin Jan. 25, 2025, and continue until the position is filled.</p><p>Application must be submitted by 11:55 p.m. (ET) of the posting end date.</p></td></tr><tr><th>Health Assessment Required:</th><td>No</td></tr></tbody></table><p> </p>

OPS Research Assistant - AI-driven Drug Discovery

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Research Assistant/Associate ProfessorUniversity of Florida

OPS Research Assistant - AI-driven Drug DiscoveryUniversity of Florida

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