The Department of Biostatistics at UT MDACC has one post-doc position open for biostatistics methodology research and clinical trial application. The main focus is research and publication. The primary focus will be to develop novel methods for the identification and validation of predictive markers and adaptive Bayesian clinical trial designs, derive related statistical theory and machine learning algorithms, produce software for implementation, incorporate biomarkers in clinical trial design and analysis, and build statistical learning tools for large data sets. The post-doc will work under the supervision of Dr. Suyu Liu on challenging and important clinical and biological projects that involve complex statistical modeling, data analysis, and computation.

LEARNING OBJECTIVES
Learn statistical theory and application in cancer clinical trials; Obtain expertise in high-dimensional variable selection, feature extraction from spatial-temporal varying data, Bayesian adaptive designs, hierarchical models, and biomarker-based clinical trial design and analysis for precision medicine; Develop strong programming and computational skills; Gain interest in statistical methodology research; Adapt and develop novel machine learning algorithms; Acquire extensive experience in R, R-Shiny, Python, and other programming languages/environments.

ELIGIBILITY REQUIREMENTS
Applicants must have a recent PhD in biostatistics or statistics from a reputed University/Institute or 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, Bayesian methods, variable selection, spatial-temporal statistics, machine learning, and computation is required. Some experience with biomedical applications is desirable.

Please send CV and information on three referees directly to syliu@mdanderson.org.

MD Anderson Cancer Center is an equal opportunity employer and does not discriminate on the basis of race, color, national origin, gender, sexual orientation, age, religion, disability, or veteran status, except where such distinction is required by law. All positions at The University of Texas M. D. Anderson Cancer Center are security sensitive and subject to examination of criminal history record information. Smoke-free and drug-free environment.

ADDITIONAL APPLICATION INFORMATION
The mission of The University of Texas M. D. Anderson Cancer Center is to eliminate cancer in Texas, the
nation, and the world through outstanding programs that integrate patient care, research and prevention, and
through education for undergraduate and graduate students, trainees, professionals, employees, and the public.

FACULTY MENTOR
Dr. Suyu Liu