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The Humam Kadara Laboratory at MD Anderson in Houston, TX, invites applications for postdoctoral fellows to study early lung cancer development and prevention strategies. The role emphasizes epithelial cell states, oncogenic signaling, immune niches, and translational relevance to human tissues.
Candidates will perform mechanistic experiments in mouse and human systems, advance organoid models, and interpret multimodal data with collaborators across pathology, immunology, and computational
The Humam Kadara Laboratory in the Department of Translational Molecular Pathology at The University of Texas MD Anderson Cancer Center is seeking talented and highly motivated postdoctoral fellows to investigate the cellular and ecological mechanisms governing the earliest stages of lung cancer development and to identify new strategies for cancer prevention and interception.
Our laboratory studies the evolution of lung adenocarcinoma from normal lung tissue through premalignancy and invasive cancer. Areas of particular interest include injury‑induced epithelial plasticity; KRT8‑positive alveolar intermediate and progenitor cells; oncogenic KRAS signaling; inflammatory and immune microenvironments; tumor–immune co‑evolution; and the contribution of the host microbiome to lung cancer pathogenesis.
The laboratory combines human tissues with genetically engineered and carcinogen‑associated mouse models, lineage tracing, organoid systems, preclinical intervention studies, and state‑of‑the‑art single‑cell and spatial profiling technologies.
Representative publications include Sinjab et al., Cancer Discovery (2021); Rahal et al., Cancer Immunology Research (2024), Han et al., Nature (2024); and Peng et al., Cancer Cell (2026). These studies have defined the spatial and cellular architecture of early lung adenocarcinoma, characterized immune‑cell states associated with disease evolution, identified KRT8‑positive alveolar intermediate cells as potential precursors of lung adenocarcinoma, and uncovered inflammatory epithelial–immune niches that may be targeted for early cancer interception.
The successful candidate will lead mechanistic studies examining how epithelial cell states, environmental or inflammatory injury, oncogenic signaling, and immune‑cell niches interact to initiate and promote lung cancer. The fellow will also investigate how vulnerabilities arising during these early stages can be targeted through mechanism‑based prevention and interception strategies.
Applicants should have a Ph.D., M.D./Ph.D., or equivalent doctoral degree in cancer biology, molecular or cellular biology, immunology, pulmonary biology, genetics, pathology, microbiology, or a closely related discipline.
Experience with mouse models of cancer or tissue injury, lineage tracing, lung biology, tumor immunology, preclinical therapeutic studies is highly desirable. Previous computational expertise is not required, although an interest in interpreting high‑dimensional molecular data and collaborating with computational investigators is encouraged.
This appointment is not part of a clinical training program. Individuals holding an M.D. degree or equivalent are not permitted to engage in patient‑care activities as part of this position.
All duties and responsibilities will be carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations.
This is a full‑time, laboratory‑based position at The University of Texas MD Anderson Cancer Center in Houston, Texas.
Under MD Anderson’s currently published FY26 stipend scale, postdoctoral compensation ranges from $64,000 to $76,400, depending on years of relevant postgraduate experience. Final compensation will follow the institutional stipend scale in effect at the time of appointment.
Benefits‑eligible postdoctoral fellows receive a competitive benefits package that includes medical insurance, paid vacation and sick leave, enrollment in the Teacher Retirement System of Texas, fitness‑center membership, and access to dental, vision, disability, health‑care spending, dependent‑care spending, and employee‑assistance programs.