Classified Title: Biostatisician Working Title: Biostatisician Role/Level/Range: ACRP/04/MD Starting Salary Range: $51,975 - $71,497 (commensurate with experience) Employee group: Full Time Schedule: Mon-Fri/ 7.5 hours per day Exempt Status: Exempt Location: 05-MD:School of Public Health Department name: 10001101-Epidemiology Personnel area: School of Public Health
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, project coordinators and investigators in a variety of fields to analyze and manage data with the aim of a scientific publication/presentation. 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.
Master's degree in biostatistics, epidemiology, or related quantitative field.
One year related experience.
Demonstrated ability on significant graduate project or additional doctoral education may substitute for experience to the extent permitted by the JHU equivalency formula.
A strong background in statistical principles and data analysis are required with knowledge of Stata, SAS, or R.
JHU Equivalency Formula: 30 undergraduate degree credits (semester hours) or 18 graduate degree credits may substitute for one year of experience. Additional related experience may substitute for required education on the same basis. For jobs where equivalency is permitted, up to two years of non-related college course work may be applied towards the total minimum education/experience required for the respective job.
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. Proficiency with multiple statistical programs is preferred.
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. M-Plus) welcomed.
The successful candidate(s) for this position will be subject to a pre-employment background check.
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