Staff Scientist: GI Mucosal Biology & Organoids

Medical University of South Carolina; Charleston (SC); On-site; USD 85,000 - 110,000; Full time

Job summary

The Medical University of South Carolina's Swanson Laboratory in Gastroenterology and Hepatology seeks a Staff Scientist to drive experimental workflows, manage day-to-day operations, and contribute scientifically to NIH-funded projects using murine models, primary human and murine intestinal organoids, and clinical biospecimens.

The successful candidate will design hypothesis-driven experiments, supervise team members, ensure regulatory compliance, and contribute to data analysis and manuscript

Qualifications

• Ph.D. or MD/Ph.D. in Gastroenterology, Cellular/Molecular Biology, Physiology, Immunology, or related field.
• Minimum of 2 years of productive postdoctoral or related research experience.
• Experience with organoid culture and in vivo gut models preferred.

Responsibilities

• Perform molecular and biochemical assays including RNA/DNA extraction and qPCR.
• Analyze data and assist with manuscript preparation and grant submissions.
• Lead experiments on circadian control of epithelial barrier function and host–microbiome interactions.
• Establish and maintain human and murine enteroids/colonoids and TEER tests.
• Oversee rodent protocols including circadian light/dark manipulations and permeability assays.
• Mentor postdocs, fellows, and students; ensure regulatory compliance.

Skills

Mammalian tissue culture

qPCR

Western blot

Confocal microscopy

Organoid culture

In vivo gut permeability

Data analysis

Bioinformatics pipelines

Education

Ph.D. or MD/Ph.D.

Tools

RNA-seq

TEER assays

Metagenomics

Job description

The Medical University of South Carolina's Swanson Laboratory in Gastroenterology and Hepatology seeks a Staff Scientist to drive experimental workflows, manage day-to-day operations, and contribute scientifically to NIH-funded projects using murine models, primary human and murine intestinal organoids, and clinical biospecimens.

The successful candidate will design hypothesis-driven experiments, supervise team members, ensure regulatory compliance, and contribute to data analysis and manuscript