Hess, Huang, and Yuan elected ASA Fellows
Ken Hess, Xuelin Huang and Ying Yuan will receive the prestigious honor of being inducted as Fellows of the American Statistical Association on August 1, 2017 at the Joint Statistical Meetings in Baltimore, Maryland.
Professor Hess was elected for outstanding contributions to the application of statistics in biomedical research, including effective and insightful collaborative and consulting service; important contributions to hazard function estimation and model diagnostics for time-to-event data analysis; and exemplary leadership as a statistical ambassador to the biomedical research community, with activities ranging from teaching to service on editorial boards and grant review panels.
Professor Huang was elected for developing innovative statistical methods of survival analysis and clinical trial design; making important statistical contributions to cancer research; and using statistical approaches to deliver better therapy to patients, including those participating in clinical trials, and to influence national public health policy.
Professor Yuan was elected for cutting-edge, application-driven methodological research in clinical trial design; Bayesian methods for complex data structures, graphical models, longitudinal data with non-ignorable missing values, mediation analysis, and data augmentation; novel research in early phase dose-finding trial designs; outstanding leadership in cancer collaborative research; and outstanding mentoring and service to the profession.
Johnson to receive 2017 Hartley Award
Marcy Johnson, M.S., Director of Quantitative Research, will receive the H. O. Hartley Award at the Joint Statistical Meetings in July. This award is given to a former student of the Department of Statistics at Texas A&M University in recognition of distinguished service to the statistics profession.
Zhu awarded endowed professorship
Hongtu Zhu, Ph.D., has been appointed Bao-Shan Jing Professor in Diagnostic Imaging at MD Anderson. This endowment is effective June 1, 2017.
Morris elected as IMS Fellow
Professor Jeffrey S. Morris has been elected as a Fellow of the Institute of Mathematical Statistics. He will be honored along with the other recipients of this fellowship on July 31, 2017, at the Joint Statistical Meetings in Baltimore, Maryland.
Do awarded endowed chair
Effective April 1, 2017, Professor and Department Chair Kim-Anh Do holds the Electa C. Taylor Chair for Cancer Research.
Morris honored by Texas A&M University
On March 30, 2017, Professor Jeffrey S. Morris was inducted into the Academy of Distinguished Former Students at Texas A&M University, honored for his outstanding contributions to statistical methodological research, statistical practice and to the profession. Morris earned a master's degree and doctorate in statistics at Texas A&M University.
Morris elected as president-elect of ENAR
Jeffrey S. Morris, Ph.D., Del and Dennis McCarthy Distinguished Professor in Gastrointestinal Cancer Research, is serving as president-elect of the Eastern North American Region (ENAR) of the International Biometric Society in 2017. He will serve as the president of ENAR in 2018, and will lead the ENAR 2018 Spring Meeting in Atlanta, Georgia. In 2019, Professor Morris will serve as ENAR's past president.
Two biostatistics faculty are Fellows of the Society for Clinical Trials
Professor J. Jack Lee was inducted as a Fellow of the Society for Clinical Trials in 2017. He joins Professor Peter Thall, who was inducted as a Fellow in 2014. This fellowship honors society members who have made significant contributions to the advancement of clinical trials and to the society.
Ten biostatistics faculty are ASA fellows
Ten of the department's faculty members have attained the prestigious honor of being named a Fellow in the American Statistical Association: Donald A. Berry (1986), Ziding Feng (1997), Kim-Anh Do (2006), Yu Shen (2007), J. Jack Lee (2008), Jeffrey S. Morris (2011), Hongtu Zhu (2011), Sanjay Shete (2012), Peter F. Thall (2015) and Veera Baladandayuthapani (2016).
Assistant or Associate Professor
The Department of Biostatistics at MD Anderson Cancer Center is seeking candidates for one tenured/tenure-track faculty position at the level of Assistant or Associate Professor. The department invites applications from qualified individuals able to establish themselves as research leaders and demonstrate prowess in interdisciplinary collaborative scientific research. We will consider researchers who can contribute to the development of methodology and its applications to biomedical research in various areas, but are especially interested in research areas relating to integrative analyses of multi-platform genomic data, high-dimensional biomedical data and microbiomic data. A Ph.D. in statistics, biostatistics or a related field is required.
The Department of Biostatistics has 26 faculty members, 37 research analysts, and 19 postdoctoral fellows. Faculty members are actively involved in collaborative and methodological research in such diverse areas as clinical trial design; Bayesian methodology; cancer screening and early detection; bioinformatics; genomic pathway analysis; integrative modeling of multiple types of complex data, including high-dimensional genomic data; functional data analysis; image data analysis; survival analysis; statistical genetics; and behavioral/social statistics. Faculty members also have opportunities in the affiliated biostatistics doctoral programs at the University of Texas Health Science Center, Rice University, and Texas A&M University. The department is supported by strong resources, which include an active quantitative research computing team with specialties in database design, web-based clinical trial support, scientific programming, and software engineering. Further questions regarding the position may be directed to Veera Baladandayuthapani (email@example.com; Subject: faculty position 2016-2017).
MD Anderson Cancer Center offers competitive salaries and an outstanding personal and professional benefits package. Houston is one of the world’s most innovative and diverse cities, nurturing great neighborhoods, competitive private and public schools, an exceptional music and theater scene, highly acclaimed museums, international cuisine, and year-round outdoor recreational activities.
The University of Texas 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 MD Anderson Cancer Center are security sensitive and subject to examination of criminal history record information. MD Anderson Cancer Center is a smoke-free and drug-free environment.
Consideration of applications will continue until the position is filled. Interested applicants should email (or mail): a cover letter outlining the relevance of their research experience and interests to the position description, a curriculum vitae, a brief statement of current and proposed research plans, and three letters of recommendation to:
Faculty Search Committee
Department of Biostatistics
The University of Texas MD Anderson Cancer Center
P.O. Box 301402
Houston, TX 77230-1402
Successful candidates will join a team of biostatisticians working on a wide variety of collaborative projects in cancer research. The University of Texas MD Anderson Cancer Center supports and promotes professional growth and mentoring, as well as continuing education, creativity, and discovery.
Collaborate with clinicians and scientists to plan meaningful studies, statistically analyze and communicate/document the results:
- Assess relevant literature and existing data
- Perform simulations and complex statistical analyses using advanced statistical methods and programming
- Prepare statistical considerations for clinical trial designs or grant applications
- Perform biostatistical reviews of research protocols
- Collaborate on development of new statistical methodology
- Prepare written reports, including reports of data for committee and scientific meetings
- Collaborate with investigators on manuscripts
- Make original contributions to research projects
- Take initiative in professional activities
- If hired as or promoted to a senior position, participate in training and supervising junior statistical analysts
To be considered, send a letter of interest, curriculum vitae and three (3) letters of reference (include contact information for references) to firstname.lastname@example.org
- Master's degree in biostatistics, bioinformatics, statistics, computing, or related field
- Working knowledge of Windows and/or UNIX operating systems
- Experience in statistical programming and analysis
- Excellent oral and written communication skills in English
- Experience with mainframe and/or PC databases, document processing and statistical software such as SAS and S-Plus
- Experience writing reports and analytical sections of grant applications
- Extensive experience in statistical consulting, data analysis, design and management of clinical trials in the biomedical or cancer research setting
Salary: Competitive; commensurate with experience
EEO & Employment Eligibility
It is the policy of The University of Texas MD Anderson Cancer Center 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 MD Anderson policy or by federal, state or local laws, unless such distinction is required by law. All positions at MD Anderson Cancer Center are security sensitive and subject to examination of criminal history record information. MD Anderson Cancer Center provides a smoke-free and drug-free environment.
Position with Jeffrey S. Morris, Ph.D.
Area: Computational statistics with applications in biostatistics and bioinformatics
Duties & Responsibilities: The research will involve developing novel statistical and computational methodology for the analysis of functional and imaging data, with a special focus on complex, high-dimensional functions and images. One project of interest is Bayesian methods for LC/MS proteomic data, combining biological knowledge and functional data modeling techniques using fast approximate Bayesian computational procedures. Other application-driven methodological research may also be undertaken, with other application areas including event-related potentials (ERP), diffusion MRI methods such as DTI/MAP-MRI, functional data on the sphere and multivariate real-time time series from glaucoma studies, and various types of genomic data that can be modeled in an integrated fashion with corresponding clinical outcome data collected from large numbers of patients with colon cancer. The genomic data may include copy number alterations, methylation, miRNA, ncRNA, microarray, RNAseq, and proteomic data. We have a working group carrying out deep characterization of newly established molecular subtypes of colon cancer (Guinney et al. 2015, Nature Medicine), which involves many potential projects in data integration that we hope will lead to new strategies in precision therapy.
Qualifications: We seek a highly motivated individual with a Ph.D. in statistics/biostatistics or related quantitative fields. Must have strong methodologic training in statistics/biostatistics; strong programming skills, in particular R/Matlab, and possibly one lower-level computer language such as C or Fortran; and interest in statistical methodology research. Interest or background in neuroimaging, bioinformatics, genomics, or proteomics is a plus. Expertise or skills in any of the following areas is desirable: analysis of high-dimensional data, Bayesian MCMC computations, approximate Bayesian computational methods, variable selection and sparsity priors, linear models, nonparametric regression, spatio-temporal data, multivariate techniques, functional data analysis, and image data analysis.
Application: Send a cover letter, CV, and research statement (with three references and their contact information) to:
Application deadline: Consideration of applications will begin immediately, and continue until the positions are filled.
Salary: $65,000 USD/year
EEO & Employment Eligibility: It is the policy of The University of Texas MD Anderson Cancer Center 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 MD Anderson policy or by federal, state or local laws, unless such discrimination is required by law. All positions at MD Anderson Cancer Center are security sensitive and subject to examination of criminal history record information. MD Anderson Cancer Center provides a smoke-free and drug-free environment.