Postdoctoral Fellow in Biostatistics

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Located in Houston, Texas, MD Anderson Cancer Center (MDACC) has been consistently ranked as the leading cancer care and research institution in the U.S. and world-wide. MDACC also has a well-earned reputation for promoting career development among postdoctoral fellows. For example, in 2007, MDACC was ranked number 1 among the “Best Places to Work” for postdocs by The Scientist. The institution is still growing, bringing together cancer biologists, computational biologists, biostatisticians, software engineers, and medical professionals.

As the 4th largest city and recently named the most diverse city in the U.S., Houston offers numerous opportunities for cultural enrichment, entertainment, fine dining, continuing higher education, and year-round recreation. It features great neighborhoods, a very reasonable cost of living, and a variety of lifestyle choices. It is MDACC policy to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, sexual orientation, gender identity/expression, disability, veteran status, genetic information or any other basis protected by MDACC policy or by federal, state or local laws, unless such distinction is required by law.

All positions at MDACC are security sensitive and subject to examination of criminal history record information. MDACC provides a smoke-free and drug-free environment.

The Postdoctoral Fellow will work under the supervision of Dr. Ying Yuan and Dr. J. Jack Lee. The primary research focus will be on developing novel statistical methodologies and software for Bayesian adaptive clinical trial designs. The Fellow will actively participate in research meetings with medical collaborators to implement applications related to methodological research projects.

We seek a highly motivated individual with a Ph.D. in statistics, biostatistics, or a related quantitative field. Candidates must have strong methodological training in statistics or biostatistics, and excellent computer programming skills. Expertise or skills in the following areas are highly desirable:
Bayesian statistics, and adaptive clinical trial design. Strong programming skills in R, R-Shiny, Python, web-based tools such as React, and AI-assisted programming are particularly valued.

Interested applicants should send a cover letter, statement of research interests, curriculum vitae, and names of three references to: jjlee; yyuan.