Research Assistant Professor - Optometry - (FAC001861)
The University of Houston College of Optometry invites qualified applicants to apply for full-time, non-tenure track research faculty positions at the rank of Research Assistant Professor in the Department of Basic Sciences. The successful candidate will be involved in increasing scholarship productivity within the Department, increasing the national recognition of the College, and building a research enterprise. The department has a strong group of faculty that conduct high-level basic, translational, and clinical research.
The Research Faculty position(s) will support research on the regeneration of retina in retinal degenerative diseases. The Research Assistant Professor will participate in experiment design, data collection and analysis, and scholarly writing for publications and presentations. The Research Assistant Professor will also work with the PI and co-Investigators to provide training and direct supervision to graduate research assistants working on projects. The position is grant funded and subject to continued funding. Competitive salary based on experience.
The University of Houston is an ADVANCE institution, one of a select group of universities in receipt of National Science Foundation funds in support of our commitment to increase the number and success of women faculty in the STEM fields.
The University of Houston, with one of the most diverse student bodies in the nation, seeks to recruit and retain a diverse community of scholars. Applications should submit a Curriculum Vitae to show record of peer-reviewed publications, a one-page research statement, and the names and contact information of three references.
The University of Houston is an Equal Opportunity/Affirmative Action institution. Minorities, women, veterans and persons with disabilities are encouraged to apply.
PhD or Doctorate degree in biological sciences or bioinformatics
• Experience working in an academic environment
• Strong written and oral communication skills
• A successful record of peer-reviewed publications
• Strong working knowledge of bioinformatic techniques concerning transcriptomics
• Experience with retinal imaging methodologies including confocal microscopy
• Experience working with zebrafish model systems
• Strong knowledge of statistics, measurement, and experience with statistical software
• Preparing study results for presentation and publication
Notes to Applicant: Official transcripts are required for a faculty appointment and will be requested upon selection of the final candidate. All positions at the university are security sensitive and will require a criminal history check.
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