Postdoc: Lung Stem Cell Biology & Disease Modeling

Texas A&M University

Houston (TX)

On-site

USD 55,000 - 70,000

Full time

46 hours ago
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Job summary

Texas A&M University Health Science Center in Houston invites applications for a Postdoctoral Research Associate. The role focuses on stem cell biology and lung development using human pluripotent stem cell-derived airway models.

The incumbent will conduct independent and collaborative research, develop hPSC maintenance and differentiation protocols, interpret data, and contribute to publications and grant-related materials. A strong team environment is expected.

Qualifications

  • PhD, MD, or equivalent doctoral degree in biology or related field.
  • Experience in stem cell biology, epithelial biology, or lung biology preferred.
  • Experience with manuscript preparation and presentations preferred.

Responsibilities

  • Conduct independent and collaborative research related to human pluripotent stem cell-derived airway and alveolar epithelial differentiation and disease modeling.
  • Develop, optimize, and perform hPSC maintenance and lung differentiation experiments.
  • Design and execute hypothesis-driven studies on epithelial maturation and fibrosis-related remodeling.
  • Perform molecular, cellular, imaging, and functional assays including flow cytometry and microscopy.
  • Assist with animal xenograft model experiments and tissue collection as needed.
  • Prepare figures, summaries, manuscripts, abstracts, and progress reports.

Skills

Stem cell biology
Lung biology
Epithelial biology
Molecular biology

Education

PhD, MD, or equivalent doctoral degree

Tools

Flow cytometry
Immunofluorescence
Microscopy
qPCR
RNA-seq

Job description

Texas A&M University Health Science Center in Houston invites applications for a Postdoctoral Research Associate. The role focuses on stem cell biology and lung development using human pluripotent stem cell-derived airway models.

The incumbent will conduct independent and collaborative research, develop hPSC maintenance and differentiation protocols, interpret data, and contribute to publications and grant-related materials. A strong team environment is expected.

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