Job Description

We seek a talented and highly motivated computational postdoctoral fellow with a strong background in bioinformatics and passion in exploring the heterogeneity and evolution of tumor cells and the tumor microenvironment (TME) following immunotherapy using state-of-the-art single-cell and spatial profiling approaches. Our group 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). The primary research focus of the candidate postdoc will be to employ innovative bioinformatics approaches to dissect in both human-relevant models of lung cancer as well as unique cohorts of human lung tissues the tumor "ecosystem" and profile in-depth phenotypic and functional heterogeneity, lineage plasticity and evolutionary dynamics of tumor and TME cells as well as cell-cell interactions in order to better understand lung cancer development, progression and therapeutic response. The postdoc candidate will work in close collaboration with the Cascone Laboratory at MD Anderson.
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, 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. All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations
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
Please check the following link for more information on the Kadara lab:
https://www.mdanderson.org/research/departments-labs-institutes/labs/kadara-laboratory.html
POSITION INFORMATION
MD Anderson offers full-time postdoc positions with a salary ranging from $64,000 to $76,000. depending on the number of years of postgraduate experience. The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition.