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Our collaborative group composed of the Kadara and Cascone laboratories studies ecological mechanisms in early lung cancer development and response to immune-based treatment (e.g., Sinjab et al, Cancer Discovery, 2021; Hao et al, Cancer Discovery, 2022; Han et al, Nature, 2024; Rahal et al, Cancer Immunology Research 2024; Cascone et al, Nature Medicine, 2021; Cascone et al, Nature Communications 2021; Cascone et al, Nature Medicine, 2023; Vaccaro et al, Cancer Discovery, 2025).

We seek a talented and highly motivated computational postdoctoral fellow with a strong background in bioinformatics and passion in exploring tumor-immune co-evolution including microstructures such as tertiary lymphoid structures and T-B cell interactions using state-of-the-art single-cell and spatial profiling approaches. The primary research focus of the candidate postdoctoral fellow will be to employ innovative bioinformatics approaches in human-relevant mouse models and unique cohorts of tissues from patients with lung cancer to decode the tumor "ecosystem" and profile in-depth phenotypic and functional heterogeneity, lineage plasticity and evolutionary dynamics of tumor and immune cells in order to better understand lung cancer development, progression and therapeutic response. The postdoctoral fellow candidate will work jointly between the Kadara and Cascone labs and in close collaboration with other groups in the Texas Medical Center.

Please check the following links for more information on the Kadara and Cascone labs:

https://www.mdanderson.org/research/departments-labs-institutes/labs/kadara-laboratory.html

https://www.mdanderson.org/research/departments-labs-institutes/labs/cascone-laboratory.html

LEARNING OBJECTIVES

Learn and master skills for in-depth profiling of single cell sequencing and spatial transcriptomics data. Learn and master skills for integrative analysis of high-dimensional bulk and single-cell multi-omics data. Gain rich knowledge in cancer biology, cancer genomics and immunogenomics, translational cancer science and cancer-specific bioinformatics. Develop skills in study design, data interpretation, presentation, and manuscript writing. Develop skills in networking, career planning, teaching, grant writing, and other professional development skills that can help the candidate fellow's career trajectory.

ELIGIBILITY REQUIREMENTS

Individuals with a PhD degree in computational biology, bioinformatics, data science or a related field are encouraged to apply. A strong computational background, proficiency in R and at least one additional scripting language (e.g., Python) and knowledge in biostatistics are required. Experience working with single-cell sequencing data and high-performance computing environment is highly preferred. A good understanding of cancer biology, immunology, cell biology, and molecular biology is also preferred. Proven track record of publications, excellent spoken and written communication skills are required. 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 activity

ADDITIONAL APPLICATION INFORMATION

https://www.mdanderson.org/research/departments-labs-institutes/labs/kadara-laboratory.html

https://www.mdanderson.org/research/departments-labs-institutes/labs/cascone-laboratory.html

POSITION INFORMATION

MD Anderson offers full-time postdoc positions with a salary ranging from $64,000 to $76,000 (https://trainees.mdanderson.org/apply/mdaPostdoctoralFellowStipendFY24.pdf) . depending on the number of years of postgraduate experience. The University of Texas MD Anderson Cancer Center offers excellent benefits (https://www.utsystem.edu/offices/employee-benefits/insurance-0/eligibility) , including medical, dental, paid time off (https://www.mdanderson.org/about-md-anderson/employee-resources/leave.html) , retirement (https://www.utsystem.edu/offices/employee-benefits/ut-retirement-program/voluntary-retirement-programs) , tuition benefits, educational opportunities, and individual and team recognition07/04/2025