What are the responsibilities and job description for the Postdoctoral Fellow - Biostatistics position at MD Anderson Cancer Center?
The Department of Biostatistics at the University of Texas MD Anderson Cancer Center has one postdoctoral position available in bioinformatics and biostatistics methodology research. The main focus of the position is research and publication. The primary emphasis will be on developing novel methods for the integrative analysis of spatial omics data, deriving related computational and statistical approaches, creating software for implementation, applying the methods to simulation and real-world datasets, and comparing the proposed tools with existing methodologies. The postdoctoral fellow will work under the supervision of Dr. Ziyi Li on challenging and significant problems in spatial omics analysis, involving complex computational modeling, data analysis, and visualizations.
LEARNING OBJECTIVES
Applicants must have a recent PhD in biostatistics or statistics from a reputed university or institute or be within 0-1 year of graduation. At least one first-author publication in a peer-reviewed journal stemming from PhD studies is required. A solid background in statistical theory, bioinformatics applications, and the analysis of various high-throughput data modalities is required. Some experience with machine learning is desirable.
Additional Application Information
Please send CV and information on three referees directly to zli16@mdanderson.org.
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
LEARNING OBJECTIVES
- Gain expertise in statistical theory and application in cancer genomics and immunotherapy studies, with a focus on spatial transcriptomics and TCR repertoire analysis.
- Develop advanced skills in integrative modeling approaches, including Bayesian hierarchical models and machine learning methods, to analyze spatially resolved omics data.
- Apply computational and statistical methods to real-world datasets from pancreatic and breast cancer patients to identify immune-related biomarkers and cell-cell interaction patterns.
- Strengthen programming proficiency in R and Python, with hands-on experience developing interactive tools using R Shiny for spatial data visualization and exploration.
- Engage in statistical methodology research in areas such as spatial data integration, immune repertoire modeling, and precision oncology.
Applicants must have a recent PhD in biostatistics or statistics from a reputed university or institute or be within 0-1 year of graduation. At least one first-author publication in a peer-reviewed journal stemming from PhD studies is required. A solid background in statistical theory, bioinformatics applications, and the analysis of various high-throughput data modalities is required. Some experience with machine learning is desirable.
Additional Application Information
Please send CV and information on three referees directly to zli16@mdanderson.org.
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
Salary : $64,000 - $76,000
Postdoctoral Fellow
MD Anderson -
Houston, TX
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