The Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health seeks a biostatistician to work as an integral part of a data analysis center study team. The biostatistician will collaborate with epidemiologists, statisticians, and investigators in a variety of fields to manage and analyze complex multicenter longitudinal data. The successful applicant will contribute to the development and application of statistical methods to advance the scientific goals of a national child’s health study.The core responsibility for the position will be data analysis, using a broad range of analytic methods. The biostatistician will create analytical plans, develop specifications for analytic datasets, create data dictionaries, write and implement statistical programs, and provide statistical consultation for PI, co-investigators and other staff. Excellent oral and written communication skills are needed to collaborate with investigators from a variety of disciplines and to present findings with the potential to coauthor scientific papers. The individual will support multiple research projects, and must be proactive, resourceful, self-directed, highly organized, and able to work independently and efficiently.Applicants must have a Master Degree in Biostatistics, Epidemiology, Statistics, or related discipline and research experience is preferred. A strong background in statistical principles and data analysis are required with knowledge of Stata, SAS, or R (proficiency with multiple statistical programs preferred).Knowledge of Stata, SAS, or R (proficiency with multiple statistical programs preferred). Experience in database software helpful. Knowledge of additional specialized software
General summary/purpose:
The Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health seeks a biostatistician to work as an integral part of a data analysis center study team. The biostatistician will collaborate with epidemiologists, statisticians, and investigators in a variety of fields to manage and analyze complex multicenter longitudinal data. The successful applicant will contribute to the development and application of statistical methods to advance the scientific goals of a national child’s health study.
Specific duties & responsibilities:
The core responsibility for the position will be data analysis, using a broad range of analytic methods. The biostatistician will create analytical plans, develop specifications for analytic datasets, create data dictionaries, write and implement statistical programs, and provide statistical consultation for PI, co-investigators and other staff. Excellent oral and written communication skills are needed to collaborate with investigators from a variety of disciplines and to present findings with the potential to coauthor scientific papers. The individual will support multiple research projects, and must be proactive, resourceful, self-directed, highly organized, and able to work independently and efficiently.
Minimum qualifications (mandatory):
Applicants must have a Master’s Degree in Biostatistics, Epidemiology, Statistics, or related discipline and research experience is preferred. A strong background in statistical principles and data analysis are required with knowledge of Stata, SAS, or R (proficiency with multiple statistical programs preferred).
Preferred qualifications:
At least one year of experience analyzing longitudinal data in the context of a research study. Experience with advanced methods (e.g., multiple imputation, propensity scores, geospatial analyses, etc.), manuscript and presentation preparation is desirable.
Special knowledge, skills, and abilities:
Knowledge of Stata, SAS, or R (proficiency with multiple statistical programs preferred). Experience in database software helpful. Knowledge of additional specialized software (e.g. SQL, Python, ArcGIS, M-Plus) welcomed.