Research Assistants, Postdoc Fellows, and Research Faculty

Multiple Research Assistants, Post-Doctoral Research Fellow, and Research Faculty positions are available in Dr. Cui Tao’s group at the School of Biomedical Informatics (SBMI) at the University of Texas Health Science Center at Houston. Our laboratory is focusing on biomedical data and knowledge integration/management, big data science, natural language processing, and machine learning/deep learning approaches applied to health and health behavioral research including cancer research, clinical decision support, and patient communication.

The positions are under the direct supervision of Cui Tao, PhD to support skilled computer scientists and informaticians interested in developing a career in data science applied to biomedical informatics research. The position includes opportunities to receive training in data management, developing machine learning/deep learning methods to analyze big biomedical data, proposal/paper writing, and developing an independent area of research. The research fellow candidate will also have opportunities in working closely with students including co-mentoring graduate/intern students and providing supports in lectures.

Requirements for this position include having completed a BS (MS preferred) for the research assistant position or a PhD for the Post-Doc Fellow position preferably from Computer Science, Statistics, Biomedical Informatics, or Engineering, demonstrated strong quantitative analytic skills including programming skills, and evidence in publishing research article related to biomedical informatics and computer sciences. The position offers a competitive stipend/salary, benefits, office space, and access to internal sources of pilot project support.

How to Apply

Candidates should email a current CV and names of at least two references to Dr. Cui Tao (Cui.Tao@uth.tmc.edu), University of Texas Health Science Center at Houston.

About Dr. Cui Tao
Dr. Cui Tao is a full professor in biomedical informatics, and the director of Center for Biomedical Semantics and Data Intelligence (BSDI) at the School of Biomedical Informatics (SBMI) at the University of Texas Health Science Center at Houston. Dr. Tao is an elected fellow of the American College of Medical Informatics (FACMI) and has a decade of professional research activity in the field of Biomedical Informatics. Dr. Tao have published more than 150 peer-reviewed articles and been invited to publish 13 editorials. Her articles have been cited in over 2,000 publications by other researchers from 40 countries. Dr. Tao has been a principal investigator (PI) or a co-investigator (co-I) of projects supported by over $60 Million in federal or state funding. Currently, she is the PI for three NIH funded projects. Dr. Tao is also a recipient of a Presidential Early Career Award for Scientists and Engineers (PECASE), the highest honor bestowed by the United States Government on science and engineering professionals in the early stages of their independent research careers.

About BSDI
Center for Biomedical Semantics and Data Intelligence (BSDI) targets on providing solutions to the challenges of heterogeneity in healthcare knowledge discovery in the big data era. The goal of the Center for Biomedical Semantics and Data Intelligence (BSDI) is to (1) increase interoperability among knowledge, data, and applications in the biomedical domain; (2) develop semantic technologies to store, query, integrate, and analyze the massive volumes of biological data that are being generated today, as well as infer new knowledge based on what is known; and (3) develop artificial intelligence technologies that combine semantic intelligence and statistical intelligence for different clinical applications. BSDI currently has four faculty members and two affiliate faculty members, with diverse background in knowledge representation, machine learning, natural language processing, statistics and epidemiology.

About SBMI
As a global academic leader in the areas of artificial intelligence, data science, and informatics for medicine and healthcare, the School of Biomedical Informatics (SBMI) at The University of Texas Health Science Center at Houston (UTHealth) is helping the world reshape the future of medicine and healthcare through active engagement in the AI Revolution. SBMI is the only academic program of biomedical informatics in Texas, the only free-standing school among 70 such programs in the nation, and one of the largest programs of its kind internationally.