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Single Cell Spatial Transcriptomics Jobs in Louisiana

Single Cell Spatial Transcriptomics information

What are the key skills and qualifications needed to thrive as a Single Cell Spatial Transcriptomics Scientist, and why are they important?

To thrive as a Single Cell Spatial Transcriptomics Scientist, you need a strong background in molecular biology, genomics, and bioinformatics, typically supported by an advanced degree (PhD or MSc) in a relevant field. Familiarity with high-throughput sequencing platforms, spatial transcriptomics technologies (like 10x Genomics Visium or NanoString GeoMx), and data analysis tools such as R or Python is essential. Critical thinking, problem-solving, and effective communication are crucial soft skills for interpreting complex data and collaborating in multidisciplinary teams. These skills and qualities are vital for generating reliable insights into cellular function and spatial organization, which drive innovative research and discovery.

What are some typical challenges faced by professionals working in Single Cell Spatial Transcriptomics, and how can they be addressed?

Professionals in Single Cell Spatial Transcriptomics often encounter challenges related to handling large, complex data sets and integrating spatial information with single-cell transcriptomic profiles. These tasks demand strong computational skills and close collaboration with bioinformaticians and other researchers. Effective communication within interdisciplinary teams is essential to ensure experimental design aligns with downstream analysis needs. Staying updated with rapidly evolving technologies and best practices also helps professionals overcome technical hurdles and produce reliable, high-impact results.

What is single cell spatial transcriptomics?

Single cell spatial transcriptomics is a cutting-edge technique that allows researchers to analyze gene expression in individual cells while preserving their spatial location within a tissue. This method combines the high-resolution insights of single-cell RNA sequencing with spatial information, enabling scientists to understand how cells interact and organize within their native environments. It is widely used in biomedical research to study tissue architecture, disease mechanisms, and cellular heterogeneity.
What are popular job titles related to Single Cell Spatial Transcriptomics jobs in Louisiana? For Single Cell Spatial Transcriptomics jobs in Louisiana, the most frequently searched job titles are:
What cities in Louisiana are hiring for Single Cell Spatial Transcriptomics jobs? Cities in Louisiana with the most Single Cell Spatial Transcriptomics job openings:
Assistant/Associate/Full Professor - Research Track, Center for Biomedical Informatics and Genomics

Assistant/Associate/Full Professor - Research Track, Center for Biomedical Informatics and Genomics

Tulane University

New Orleans, LA • On-site

Full-time

Posted 16 days ago


Tulane University rating

7.4

Company rating: 7.4 out of 10

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Job description

Description
The Tulane Center for Biomedical Informatics and Genomics (CBG) at the Tulane University School of Medicine (SOM) is seeking outstanding applicants for multiple research-track 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, biostatistics, statistical genetics, bioinformatics, computational biology, biomedical imaging informatics, brain imaging, data science, clinic and genetic epidemiology, metagenomics, metabolomics, and recently single cell sequencing and spatial profiling 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. Tulane University is ranked #44 out of 443 National Universities on US News Report, providing a great environment for research and collaboration. Tulane SOM has recently developed a track of PhD and MSc 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 PhD, MD, or equivalent doctoral degree and appropriate research experience in genomics, biostatistics, medical/health informatics, bioinformatics, computational biology, molecular genetics, genetic epidemiology, or translational medicine. Candidates are expected to develop, or have an established track record of, sustained extramural funding.
Ability and willingness to collaborate with other faculty members in Tulane CBG and Tulane University School of Medicine is required.
Application Instructions
A CV and cover letter 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.

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