The Tulane Center for Biomedical Informatics and Genomics (CBG) at the Tulane University School of Medicine (SOM) is seeking outstanding applicants for multiple tenure-track or tenured assistant/associate/full professor positions in the various omics, bioinformatics, health informatics, 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 is developing a track of Ph. D. and M. Sc. graduate program 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.
Applicants must have a PhD, MD, or equivalent doctoral degree and appropriate research experience in genomics, biostatistics, medical/health informatics, bioinformatics, computational biology, or translational medicine. Candidates applying for a position at the Assistant Professor level are expected to have K99/R00 grants or equivalent and develop a rigorous extramurally funded research program. Candidates at the Associate and Full Professor level 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.
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.
The candidate will work for the Tulane Center for Biomedical Informatics and Genomics, which is part of the John W. Deming Department of Medicine. He/she will develop and perform biostatistics and bioinformatics research for osteoporosis and other related human complex disorders, provide intellectual and technical support for other research projects executed at the Center. He/she will also participate in other general duties associated with a research lab, such as participation in academic publications and presentations, guidance to staff and students, etc.
1. A Ph.D. /M.D. in biomedical sciences or other related areas.
2. Publications in the field of biostatistics and bioinformatics research.
1. Ability to proficiently use Microsoft Office software.
2. Solid analytical skills and attention to detail.
3. Excellent verbal and written communication skills.
4. Excellent organizational skills.
5. Ability to multi-task and prioritize work assignments.
Strong record of publication in genetics/genomics/ Transcriptomics/ epigenomics/metabolomics/metagenomics/proteomics research on human complex diseases.
Review of applications will begin as soon as possible and applications will be accepted and reviewed until the positions are filled. All applicants should apply electronically via Interfolio and/or send your application to Dr. Lan-Juan Zhao at: email@example.com.