Postdoctoral Fellow — Infectious Disease Microbiology & Omics

The University of Kansas Health System; Kansas City (MO); Sur place; USD 63 000 - 90 000; Plein temps

Avantages offerts par ce poste

Health, dental, and vision insurance

Paid time off and holidays

Retirement plan

Résumé du poste

The University of Kansas Health System in Kansas City seeks a Post-Doctoral Fellow in the Qiwen Dong Lab to investigate bacterial infection mechanisms, focusing on Clostridioides difficile. The role involves designing experiments, performing cloning, animal models, and imaging, and integrating multi-omics data for publication-quality work.

Candidates should have a PhD in a relevant field and experience with BSL-2 organisms and mouse models, with preferred experience in C.

Qualifications

• PhD in Microbiology, Immunology, Biochemistry, Molecular Biology, or related field.
• Experience with BSL-2 organisms and mouse models.
• Preferred experience with C. difficile or related organism.
• Experience analyzing 'omics' data and using multi-omics approaches.

Responsabilités

• Design and perform research related to Clostridioides difficile infection with PI/faculty mentor.
• Conduct molecular cloning, animal infection models, and microscopy.
• Perform data analysis and prepare presentations, manuscripts, and posters.
• Contribute to grant applications and publish results in peer-reviewed journals.

Connaissances

BSL-2 experience

Mouse models

Data analysis

Omics data familiarity

Formation

PhD in Microbiology, Immunology, Biochemistry, Molecular Biology, or related field

Description du poste

The University of Kansas Health System in Kansas City seeks a Post-Doctoral Fellow in the Qiwen Dong Lab to investigate bacterial infection mechanisms, focusing on Clostridioides difficile. The role involves designing experiments, performing cloning, animal models, and imaging, and integrating multi-omics data for publication-quality work.

Candidates should have a PhD in a relevant field and experience with BSL-2 organisms and mouse models, with preferred experience in C.