Program Overview
The University of Cincinnati's PhD in Environmental Health: Biostatistics program trains students in statistical and computational methods for addressing biomedical and public health research challenges. Graduates are prepared for careers as biostatisticians, bioinformaticians, data scientists, research scientists, and academicians.
Program Outline
Degree Overview:
The PhD in Environmental Health: Biostatistics is a full-time program housed in the University of Cincinnati's Department of Environmental Health, with collaborations across the College of Medicine and Cincinnati Children's Hospital Medical Center. The program is offered through the Division of Biostatistics and Bioinformatics, which provides training and research opportunities in biomedical data sciences. The program combines rigorous statistical and computational education rooted in probability theory and computer science with exposure to a broad range of biomedical research applications. It focuses on the application of statistical reasoning in biomedical and public health research, with a particular emphasis on developing statistical methodologies tailored to address specific biomedical data analysis problems. Bioinformatics combines computer science, statistics, mathematics, and engineering to manage, process, and analyze biomedical data. The program emphasizes the growing importance of data sciences in contemporary biomedical and public health research, particularly in the context of "Big Data," which refers to the challenges and opportunities presented by accessing, managing, analyzing, and integrating datasets of diverse data types.
Careers:
Graduates of the PhD in Environmental Health: Biostatistics program are well-prepared for careers in various fields, including:
- Biostatistician: Working in research institutions, pharmaceutical companies, government agencies, and healthcare organizations to design and analyze clinical trials, epidemiological studies, and other biomedical research projects.
- Bioinformatician: Developing and applying computational tools and methods to analyze large-scale biological datasets, such as genomic, proteomic, and metabolomic data.
- Data Scientist: Utilizing statistical and computational skills to extract knowledge from data in various biomedical and public health settings.
- Research Scientist: Conducting independent research in areas related to biostatistics, bioinformatics, and biomedical data sciences.
- Academic Positions: Teaching and conducting research at universities and colleges.
Other:
- The Division of Biostatistics and Bioinformatics offers both a Doctoral program in Biostatistics as well as a Doctoral program in Biostatistics with a track in Big Data.
- A few examples of interdisciplinary biomedical research projects that involve division faculty are study of predictive transcriptional signature for juvenile idiopathic arthritis, genomic determinants of kidney cancer, cancer treatment clinical trials, and numerous biomedical projects investigating gene-environment interactions.
