Skip to main content

IND Computational Chemist (Adjunct Professor Series)

Recruitment Period

Open date: June 15th, 2017
Last review date: July 15th, 2017
Applications received after this date will be reviewed by the search committee if the position has not yet been filled.
Final date: December 15th, 2018
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.


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 and with our drug discovery partners at Daiichi Sankyo. The candidate should have excellent communication skills and work well in a team environment.


• PhD in Chemistry with experience in the design of small molecule drug candidates.
• 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 a demonstrated superb command of oral and written English

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

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

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.

Job location

San Francisco, CA


Document requirements
  • Curriculum Vitae - Your most recently updated C.V.

  • Cover Letter - with a list of publications

  • Statement of Research (Optional)

  • Statement of Teaching (Optional)

  • Statement of Contributions to Diversity (Optional)

  • Misc / Additional - a research summary (4-page max. including figures)

Reference requirements
  • 3 required (contact information only)

How to apply

  1. Create an ApplicantID
  2. Provide required information and documents
  3. If any, provide required reference information
Get started: press Apply Now