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The University of Texas MD Anderson Cancer Center – Postdoctoral Fellow in Lymphoma Biostatistics/Data Science
Company Information: Located in Houston, Texas, The University of Texas MD Anderson Cancer Center (MDACC) has been ranked as the No. 1 cancer care and research institution in the U.S. for the past five years by US News. The mission of MDACC 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. We believe that our postdoctoral fellows are the next generation of leading cancer experts and a vital component of our workforce. As a postdoctoral fellow at MD Anderson, you will collaborate on research projects, be mentored by some of the world's best cancer researchers and participate in laboratory-based activities designed to produce independent investigators for full-time academic and research careers. We offer a wide range of postdoctoral training, including lab-based, translational, cancer prevention, multidisciplinary specialties, radiation and imaging, as well as numerous training grants. We also have an active postdoctoral association (PDA) that offers ongoing professional development opportunities and networking resources. It is the policy of MDACC to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law.
Position Title: Postdoctoral Fellow in Lymphoma Biostatistics/Data Science
Duties and Responsibilities: The Postdoctoral Fellow will work under the primary supervision of Dr. Ruitao Lin, with joint supervision from two internationally recognized clinicians, Dr. Dai Chihara and Dr. Christopher R. Flowers. The research may encompass a variety of projects, with a primary focus on: (1) developing novel statistical and data science methods, as well as user-friendly software, for integrating existing lymphoma datasets to evaluate novel lymphoma treatments or design future lymphoma studies; (2) analyzing real-world and institutional lymphoma datasets; and (3) assisting in the construction of a lymphoma database for future data science projects. A major methodological focus will be integrating machine learning/artificial intelligence tools, causal inference methods, Bayesian techniques, and adaptive designs to build innovative, next-generation tools for adaptively evaluating treatment effectiveness and risk-benefit tradeoffs in the overall population or specific subgroups (precision oncology). The Fellow will actively participate in research meetings with medical collaborators to implement applications related to methodological research projects. Other activities may include analyzing datasets with complex structures, potentially leading to methodological research. The position is available immediately and will be open until it is filled.
Position Qualifications: 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 strong computer programming skills, in particular using R, Python, and preferably one lower-level computer language, such as C++. A key requirement of each research project will be to develop user-friendly computer software for implementing the newly developed methodology. Expertise or skills in the following areas are highly desirable: Bayesian MCMC computational methods, adaptive clinical trial design, optimization, numerical analysis, machine learning, causal inference.
Salary Range: $70,000 USD
Benefits: Competitive benefits See: https://www.mdanderson.org/education-training/research-training/postdoctoral-training/prospective-postdocs.html
Website: http://www.mdanderson.org/departments/biostats/
Application Information: Interested applicants should send a cover letter, one or two published papers or preprints, and a curriculum vitae to rlin@mdanderson.org (Subject line: Postdoc Application).
Contact Email: rlin@mdanderson.org
Application Deadline: 05/31/2025
Company NameThe University of Texas MD Anderson Cancer Center
Company Information
Located in Houston, Texas, The University of Texas MD Anderson Cancer Center (MDACC) has been ranked as the No. 1 cancer care and research institution in the U.S. for the past five years by US News. The mission of MDACC 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. We believe that our postdoctoral fellows are the next generation of leading cancer experts and a vital component of our workforce. As a postdoctoral fellow at MD Anderson, you will collaborate on research projects, be mentored by some of the world's best cancer researchers and participate in laboratory-based activities designed to produce independent investigators for full-time academic and research careers. We offer a wide range of postdoctoral training, including lab-based, translational, cancer prevention, multidisciplinary specialties, radiation and imaging, as well as numerous training grants. We also have an active postdoctoral association (PDA) that offers ongoing professional development opportunities and networking resources. It is the policy of MDACC to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law.
Position TitlePostdoctoral Fellow in Lymphoma Biostatistics/Data Science
Duties and Responsibilities
The Postdoctoral Fellow will work under the primary supervision of Dr. Ruitao Lin, with joint supervision from two internationally recognized clinicians, Dr. Dai Chihara and Dr. Christopher R. Flowers. The research may encompass a variety of projects, with a primary focus on: (1) developing novel statistical and data science methods, as well as user-friendly software, for integrating existing lymphoma datasets to evaluate novel lymphoma treatments or design future lymphoma studies; (2) analyzing real-world and institutional lymphoma datasets; and (3) assisting in the construction of a lymphoma database for future data science projects. A major methodological focus will be integrating machine learning/artificial intelligence tools, causal inference methods, Bayesian techniques, and adaptive designs to build innovative, next-generation tools for adaptively evaluating treatment effectiveness and risk-benefit tradeoffs in the overall population or specific subgroups (precision oncology). The Fellow will actively participate in research meetings with medical collaborators to implement applications related to methodological research projects. Other activities may include analyzing datasets with complex structures, potentially leading to methodological research. The position is available immediately and will be open until it is filled.
Position Qualifications
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 strong computer programming skills, in particular using R, Python, and preferably one lower-level computer language, such as C++. A key requirement of each research project will be to develop user-friendly computer software for implementing the newly developed methodology. Expertise or skills in the following areas are highly desirable: Bayesian MCMC computational methods, adaptive clinical trial design, optimization, numerical analysis, machine learning, causal inference.
Salary Range$70,000 USD
Benefits
Competitive benefits See: https://www.mdanderson.org/education-training/research-training/postdoctoral-training/prospective-postdocs.html
Position or Company Websitemdanderson.org
Application Instructions
Interested applicants should send a cover letter, one or two published papers or preprints, and a curriculum vitae to rlin@mdanderson.org (Subject line: Postdoc Application).