Assistant Professor, Pathology - Translational Research

AACTE Connect360; Galveston (TX); On-site; USD 110,000 - 160,000; Full time

Job summary

UTMB Health in Galveston invites applications for a tenure-track Assistant Professor in Pathology. The successful candidate will lead an innovative, externally funded research program addressing fundamental and translational questions in pathology.

Research areas include infectious diseases, immunology, genomics, and translational science. Expertise spanning computational, cellular, and AI-enabled approaches is highly valued. Salary is commensurate with experience.

Qualifications

• Applicants must have a PhD, MD/PhD, MD or equivalent degree and postdoctoral research experience.
• Expertise and high impact publications in cell biology, immunology, bioinformatics, genomics or neurobiology.
• Physician scientists with an interest in clinical-translational research are encouraged to apply.

Responsibilities

• Develop an innovative, externally funded, independent research program addressing fundamental and translational questions in pathology.
• Address infectious diseases, host-pathogen interactions, immunology, vaccinology, cancer, genomics, precision medicine, neurobiology or related areas.
• Candidates with expertise spanning computational, cellular, immunologic, and translational domains are encouraged to apply including single-cell, spatial, imaging, AI-enabled modeling, or large-scale data integration approaches.

Skills

Research program development

Grant writing

Interdisciplinary collaboration

Education

PhD, MD/PhD, MD or equivalent degree

Tools

Bioinformatics

R/SAS statistics

Job description

UTMB Health in Galveston invites applications for a tenure-track Assistant Professor in Pathology. The successful candidate will lead an innovative, externally funded research program addressing fundamental and translational questions in pathology.

Research areas include infectious diseases, immunology, genomics, and translational science. Expertise spanning computational, cellular, and AI-enabled approaches is highly valued. Salary is commensurate with experience.