Postdoctoral Fellow

A postdoctoral position is available in the laboratory of Dr. Bilon Khambu at TUSOM. We seek a highly motivated and talented scientist to join an interdisciplinary research program focused on liver biology, liver immunology, hematology, and chronic liver diseases, including liver injury, inflammation, fibrosis, cirrhosis, and acute-on-chronic liver failure (ACLF).

Required Applicant Materials:

Interested candidates should submit the following materials:

• Curriculum Vitae
• Contact information for at least three professional references

For further inquiries about this position, please email Dr. Khambu, at bkhambu@tulane.edu.

The successful candidate will conduct independent and collaborative research, design and execute experiments, analyze and interpret data, prepare manuscripts for publication, and present findings at national and international scientific meetings. The position offers excellent opportunities for scientific growth, career development, mentorship, and grant-writing training.

Applicants must have:

• A PhD, MD, or equivalent degree in Immunology, Hematology, Cell Biology, Biochemistry, Molecular Biology, Physiology, Pharmacology, or a related field.
• A strong record of scientific productivity, demonstrated by peer-reviewed publications.
• Hands-on experience with molecular and cellular biology techniques, particularly: 
  • Flow cytometry
  • Primary cell isolation from mouse tissues (liver, bone marrow, spleen, thymus, etc.)
  • Rodent survival surgery 
  • In vitro primary or cell line culture
  • Western blotting
  • Quantitative PCR (qPCR)
  • Immunofluorescence staining (IFC/IF), Immunohistochemistry (IHC)
  • Confocal microscopy
• Experience analyzing publicly available genomic and transcriptomic datasets (e.g., GEO/GSE datasets).
• Excellent written and verbal communication skills.
• The ability to work both independently and collaboratively in a multidisciplinary research environment.

Preferred Qualifications

• Experience in liver disease, immunology, immune cell biology, metabolism, hematology, preclinical animal models, or multi-omics approaches.
• Experience with bioinformatics, computational biology, and large-scale data analysis.