Postdoc: Lung Cancer Immunology & Interception

VS‑Postdoc; Houston (TX); On-site; USD 64,000 - 76,000; Full time

Benefits offered by this job

Medical insurance

Paid vacation and sick leave

Teacher Retirement System of Texas

Fitness-center membership

Job summary

The University of Texas MD Anderson Cancer Center in Houston, TX seeks a Postdoctoral Fellow to lead mechanistic studies in experimental lung cancer biology, immunology, and interception. The role focuses on epithelial cell states, injury responses, oncogenic signaling, and tumor-immune interactions using advanced human tissues and mouse models.

Candidate will work with multi-disciplinary teams on preclinical interventions, collaborate with computational scientists, and contribute to high-impact

Qualifications

• PhD in cancer biology, molecular/cellular biology, immunology, pulmonary biology, genetics, pathology or related field.
• Hands-on experience with mouse models and tissue injury.
• Experience with flow cytometry, microscopy, immunohistochemistry, and immunofluorescence.

Responsibilities

• Lead mechanistic studies on epithelial cell states, injury, oncogenic signaling, and immune niches in early lung cancer.
• Investigate vulnerabilities in early stages for prevention and interception strategies.
• Design and conduct studies using genetic mouse models, lineage tracing, and organoid systems.
• Interpret single-cell and spatial data; collaborate with computational scientists and clinicians.
• Prepare manuscripts and contribute to grants and presentations.

Skills

Mouse models

Animal procedures

Mammalian cell culture

Organoid systems

Molecular biology

Genetic manipulation

Flow cytometry

Microscopy

Immunohistochemistry

Immunofluorescence

Education

PhD

Tools

Single-cell sequencing

Spatial profiling

Job description

The University of Texas MD Anderson Cancer Center in Houston, TX seeks a Postdoctoral Fellow to lead mechanistic studies in experimental lung cancer biology, immunology, and interception. The role focuses on epithelial cell states, injury responses, oncogenic signaling, and tumor-immune interactions using advanced human tissues and mouse models.

Candidate will work with multi-disciplinary teams on preclinical interventions, collaborate with computational scientists, and contribute to high-impact