IND Computational Chemist/Adjunct Professor Series* | University of California San Francisco Job at University of California San Francisco, San Francisco, CA

  • University of California San Francisco
  • San Francisco, CA

Job Description

IND Computational Chemist/Adjunct Professor Series

The Institute for Neurodegenerative Diseases (IND) at the University of California, San Francisco (UCSF) is seeking a computational/theoretical chemist to join the IND's drug discovery programs in Alzheimer's disease, frontotemporal dementia, Parkinson's disease, Creutzfeldt-Jakob disease and others. The director of the IND is Nobel Laureate Dr. Stanley Prusiner.

The successful candidate will work with the drug discovery team as a computational chemist to identify and validate cellular high-throughput screening hits. For molecules in the lead optimization phase, the candidate should be able to influence and accelerate creative molecular design using modern computational tools and approaches.

He or she will possess an expert-level understanding of medicinal chemistry principles, including the optimization of properties favorable for a CNS therapeutic. He or she is expected to work closely with medicinal chemists at the IND, have excellent communication skills and work well in a team environment.


  • PhD in Chemistry or a closely related field
  • A strong track record of creative problem solving and scientific achievement
  • A high level of expertise with quantum mechanical and other computational techniques to understand the conformational and stereoelectronic properties of small molecules
  • A strong interest in conformational analysis and the ability to provide examples of how insights into conformation can lead to improved biological activity
  • Proficiency with force field-based molecular dynamics methods to study the role of structure and conformational mobility of proteins for the purpose of drug design
  • An understanding of the physical chemistry of ligand design and binding thermodynamics with experience docking small molecules with associated proteins
  • Applicants should possess excellent leadership, organizational, communication and interpersonal skills
  • Preference will be given to candidates with strong oral and written communication skills

This is a full-time position with excellent benefits. Salary is dependent upon experience.

Interested applicants should submit curriculum vitae with a list of publications, cover letter, a research summary (4-page max. including figures), and contact information for three professional references.

Please apply online at

The posted UC salary scales set the minimum pay determined by rank and step at appointment. See Table 5The minimum base salary range for this position is $106,900-$284,100. This position includes membership in the health sciences compensation plan () which provides for eligibility for additional compensation.

*Rank will be commensurate with background, experience, and work history.

Document requirements

  • Curriculum Vitae - with a list of publications. CV must clearly list current and/or pending qualifications (e.g. board eligibility/certification, medical licensure, etc.).
  • Cover Letter
  • Statement of Research - 4-page max. including figures
  • Statement of Teaching (Optional)
  • Statement of Contributions to Diversity - Please see the following page for more details: Contributions to Diversity Statement
  • Misc / Additional (Optional)

Reference requirements

  • 3 required (contact information only)

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

UC San Francisco seeks candidates whose experience, teaching, research, or community service has prepared them to contribute to our commitment to diversity and excellence. The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status.

San Francisco, CA

Job Tags

Full time, Local area,

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