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Faculty Position - In-Residence Endowed Professorship in Biocomputing, Visualization, and Informatics Department of Pharmaceutical Chemistry School of Pharmacy University of California, San Francisco
Position Description The Department of Pharmaceutical Chemistry at the University of California, San Francisco (UCSF) invites applications for a faculty member to lead the team that develops ChimeraX and to build an independent and collaborative research lab focused on the analysis and visualization of biological structures. The existing team members consist of highly experienced and talented staff with excellent interdisciplinary knowledge and specialized, state-of-the-art expertise in software engineering, computer visualization, and data science.
As a faculty member, the applicant is expected to develop a strong, grant-funded research program. Faculty members also are expected to participate in one or more of UCSF's 15 PhD programs in basic and biomedical sciences, including teaching courses offered by these programs and mentoring students. The successful candidate will also have the opportunity to teach in other programs in the School of Pharmacy, including the MS degree program in Artificial Intelligence and Computational Drug Discovery and Development and the Pharm.D. program.
The successful candidate must also demonstrate a record of accomplishment in developing visualization and analysis methods in support of structural biology, network biology, bioinformatics or a closely related field. Of particular interest are candidates with knowledge and expertise in developing software for visualizing molecular structures and their complexes, particularly in the context of cryo-electron microscopy or tomography. The position includes directorship of the UCSF Resource for Biocomputing, Visualization and Informatics (RBVI) and an appointment in the In-Residence series with an endowed professorship.
The RBVI and its precursor, the UCSF Computer Graphics Laboratory, has a 56-year history developing cutting-edge interactive software tools that can be applied to diverse types of biomolecular data, including atomic-resolution coordinates, 3D density maps and light microscopy data, and protein and nucleic acid sequences, annotations, and networks. These areas are critical for addressing important biomedical problems related to health care and disease treatment and prevention. The Resource focuses on the unmet software needs for basic and applied biomedical research.
The RBVI has maintained continuous NIH funding since its inception, and the exceptionally collaborative research environment at UCSF provides multiple opportunities for projects that combine complementary expertise in software tool development and discovery science research.
Salary/rank will be commensurate with the candidate's experience and training. UCSF seeks candidates who are committed to the mentorship of students and promoting excellence across the campus.
Required Qualifications:
PhD degree or equivalent
Strong record of publications in the field of structural biology, network biology, bioinformatics or a closely related area
Computer programming skills
Excellent communication skills
Preferred Qualifications:
Experience in teaching
Demonstrated track record of developing open-source visualization software
Experience conducting research with multidisciplinary research teams
Application Requirements:
Curriculum Vitae
Cover Letter
Statement of Research, including accomplishments and future plans (~4 pages)
Statement of prior teaching experience, if applicable
3 to 6 reference contacts
Compensation The posted UC salary scales set the minimum pay determined by rank and step at appointment. See Table 5 The minimum base salary range for this position is $121,900-$319,800. This position includes membership in the health sciences compensation plan which provides for eligibility for additional compensation.
Curriculum Vitae - CV must clearly list current and/or pending qualifications (e.g. board eligibility/certification, medical licensure, etc.).
Cover Letter
Statement of Research - Statement of Research, including accomplishments and future plans (~4 pages)
Statement of Teaching - Statement of prior teaching experience, if applicable (Optional)
Reference requirements
3-6 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.
The University of California is an Equal Opportunity Employer. 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 status under state or federal law.
UCSF is committed to welcoming and serving all people, honoring the dignity of every individual without preference or prejudice, in support of its public mission and in alignment with our PRIDE values and Principles of Community.
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct. * "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, or discrimination, as defined by the employer. * UC Sexual Violence and Sexual Harassment Policy * UC Anti-Discrimination Policy * APM - 035: Affirmative Action and Nondiscrimination in Employment
The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and high-quality patient care. It is the only UC campus in the 10-campus system dedicated exclusively to the health sciences.