Baladandayuthapani, Shen, and Morris are leaders for 2018 ENAR Spring Meeting
Associate Professor Veerabhadran Baladandayuthapani is Chair of the Scientific Program for the 2018 Spring Meeting of the Eastern North American Region (ENAR) of the International Biometric Society. Professor Yu Shen is a member at-large of the Scientific Program Committee. As the 2018 president of ENAR, Professor Jeffrey S. Morris will lead the ENAR 2018 Spring Meeting, which will be held March 25-28 in Atlanta, Georgia.
Eleven Faculty Speakers at 2018 ENAR Spring Meeting
Professor Peter Thall is the organizer and a speaker for the topic Recent Innovations in Practical Clinical Trial Design. He will also lead a roundtable: Practical Issues in Clinical Trial Design & Analysis. Professor Ying Yuan is also a speaker for the topic Recent Innovations in Practical Clinical Trial Design. Professor Yu Shen is co-leading a roundtable: Identifying the Nonidentifiable: Nonprogressive Cancers in Screened Populations. Associate Professor Veerabhadran Baladandayuthapani is a speaker for the topic Integrative Analysis of Multi-omic Data with Application to Precision Medicine, and will present a tutorial on that topic. Associate Professor Liang Li is a speaker for the topic Recent Advances in Propensity Score Analysis. Professor Xuelin Huang is the organizer and a speaker for the topic Estimation & Optimization for the Effects of Screening Schedules & Treatment Timing, and is Chair for the topic Statistical Analysis of Microbiomic Data. Associate Professor Jing Ning is a speaker for the topic New Advances in the Analysis of Survival Data from Biased Sampling. Professor Hongtu Zhu is a speaker for the topic Recent Advances in Statistical Methods for Imaging Genetics. Professor and Department Chair Kim-Anh Do is a speaker for the topic Statistical Methods for Cancer-omic Data. Assistant Professor Christine Peterson is a speaker for the topic Recent Advances in the Estimation of Graphical & Covariance Models. Assistant Professor Min Jin Ha is the organizer and a speaker for the topic Multi-omics and Graphical Models for Precision Medicine.
Faculty Leader at AACR Annual Meeting 2018
Professor J. Jack Lee is a member of the Scientific Program Committee and of the Education Committee for the annual meeting of the American Association for Cancer Research, which will be held April 14-18 in Chicago, Illinois.
Lee to Speak at BAYES 2018 Cambridge: Bayesian Biostatistics Workshop
Professor J. Jack Lee, Kenedy Foundation Chair in Cancer Research, is a keynote speaker at the Bayesian Biostatistics Workshop, to be held June 20-22 in Cambridge, UK. The workshop is a satellite event of the 2018 International Society for Bayesian Analysis (ISBA) World Meeting.
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.
13 biostatistics faculty are ASA fellows
Thirteen 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), Veerabhadran Baladandayuthapani (2016), Kenneth R. Hess (2017), Xuelin Huang (2017), and Ying Yuan (2017).
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.