Assistant/Associate/Full Professors, Biomedical and Health Informatics
Location:
New Orleans, LA
Open Date:
May 26, 2023
Description:
The Tulane Center for Biomedical Informatics and Genomics (CBG) at the Tulane University School of Medicine (SOM) is seeking outstanding applicants for a tenure-track or tenured faculty position in the various omics, bioinformatics, medical/health informatics, biostatistics, or translational research in complex diseases.
The Tulane CBG is composed of a multidisciplinary team of long-time collaborating investigators with strong complementing experience and expertise in genomics, functional genomics (transcriptomics and proteomics), epigenomics, molecular genetics, bone biology, biostatistics, statistical genetics, bioinformatics, computational biology, biomedical imaging informatics, brain imaging, data science, clinic and genetic epidemiology, and recently metagenomics, metabolomics and single cell sequencing based omics. We are most interested in generating, analyzing and integrating big data of various omics to link with environmental factors to elucidate how DNA variants affect gene expression/regulation and protein expression/modification in the form of functional networks/modules/pathways and how the knowledge gained on these molecular mechanisms in humans would translate into better prediction/intervention/precision medicine and drug development. The center has been funded by NIH SCOR (Specialized Center of Research, P50AR055081) grant, U19 program of Complex Integrated Multi-Component Projects in Aging Research (U19AG055373), and multiple NIH R01 and NSF grants. Tulane SOM and School of Public Health and Tropic Medicine have several distinct research groups engaged in various omics and clinical/epidemiological studies that would offer a wide range of opportunity for collaboration. US News Report ranks Tulane among top 40 in 2020, providing a great environment for research and collaboration. Tulane SOM has a track of Ph. D. and M. Sc. graduate programs in Biomedical Informatics that would provide teaching and mentoring opportunities for graduate students. We offer a supportive and collaborative environment for faculty to develop their own research projects and to participate in various funded studies or grant applications at Tulane CBG and other research entities at Tulane University.
Qualifications:
Applicants must have a Ph.D., MD, or equivalent doctoral degree and appropriate research experience in genomics, biostatistics, medical/health informatics, bioinformatics, computational biology, or translational medicine. Candidates at the Associate and Full Professor levels are expected to have an established track record of sustained extramural funding as a PI on R01 (or equivalent) grants. Ability and willingness to collaborate with other faculty members in Tulane CBG and Tulane University School of Medicine is required.
Application Instructions:
Review of applications will begin as soon as possible, and applications will be accepted and reviewed until the positions are filled. All applicants for faculty positions should apply electronically via Interfolio. To receive full consideration, applicants should submit a C.V., personal statement, and NIH biosketch.
Equal Employment Opportunity Statement:
Tulane University is an equal opportunity educator and employer committed to providing an education and employment environment free of unlawful discrimination, harassment, and retaliation. Legally protected demographic classifications (such as a person's race, color, religion, age, sex, national origin, shared ancestry, disability, genetics, veteran status, or any other characteristic protected by federal, state, or local laws) are not relied upon as an eligibility, selection or participation criteria for Tulane's employment or educational programs or activities.
Tulane University is responsible for providing reasonable accommodations to individuals with disabilities throughout the applicant screening process. If you need assistance in completing an application or during any phase of the interview process, please contact the Office of Human Resources by phone at or by email at .
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