Johns Hopkins University Sr. Biostatistician in Baltimore, Maryland
Classified Title: Sr. Biostatistician
Working Title: Sr. Biostatistician
Starting Salary Range: $76,000-$88,000
Employee group: Full Time
Schedule: M-F; between 8-5
Exempt Status: Exempt
Location: 05-MD:School of Public Health
Department name: 10001101-Epidemiology
Personnel area: School of Public Health
Position is needed to join the Data Analysis Center (DAC) for the Environmental Influences of Child Health Outcomes (ECHO) program. The Biostatistician/Data Analyst will provide statistical design expertise and data analyses for data derived from a multi-cohort consortia, and will participate as a co-author in preparation of manuscripts and presentations reporting study results based on his/her analyses. The Biostatistician will work with the ECHODAC team in consultation with ECHO investigators at the cohorts and NIH, as well as investigators external to the study on: formation of statistical designs for studies, drafting statistical analysis plans, interfacing with database designers to ensure that the data collected can support the statistical analysis plan, developing statistical reports for quality assurance (recruitment, data quantity, data quality), generating confidential statistical reports for data monitoring committees, preparing data tables for publications and presentations at scientific meetings, and writing up the study results and statistical methods. Compliance with procedures in accordance with reproducible research is required.
Duties and Responsibilities:
Plan and carry out biostatistical data analyses, including generation of analysis data sets and design and generation of tables and figures reporting analysis results
Plan and carry out statistical genetics/genomic analyses, including quality control/assessment, genome-wide analysis, and imputation.
Contribute to writing and reviewing drafts of reports, posters, and manuscripts, including writing up interpretation of analysis results and description of statistical methods used
Create and maintain documentation of statistical methods and programming code
Create analysis datasets for scientific manuscripts and presentations and public use databases, including associated data dictionaries;
Identify potential problems with study data and collaborate with research team to resolve issues encountered;
Assist in preparing materials for and participate in investigators' meetings, Steering Committee meetings, staff meetings, etc.
Complete other as-needed data programming and analysis
Attend staff meetings and provide updates on status of reports, papers, and other work responsibilities
Perform other duties as assigned
Masters degree in biostatistics, epidemiology or other related quantitative field. 3 years related experience in a work or academic setting or demonstrated ability on significant graduate school project. Experience performing biostatistical analyses, including categorical, longitudinal and survival data; SAS, STATA, and/or R programming; technical/scientific writing for medical publications to describe results and statistical methods required.Demonstrated ability on significant graduate project or additional doctoral education may substitute for experience to the extent permitted by the JHU equivalency formula.
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.
Experience with genetic data manipulation, annotation and imputation. Programming skills in a relevant language (i.e python, perl, shell scripting) preferred. Experience with machine learning (e.g., neural networks, random forest, etc.) and/or “big data” would be considered a plus.
Ability to work independently and use reference manuals to develop proficiency with software or computer systems
Good organizational, written and verbal communication skills in the preparation and presentation of results
Good interpersonal skills in dealing with investigators and a “team-oriented” approach with other DAC staff members
The successful candidate(s) for this position will be subject to a pre-employment background check.
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The following additional provisions may apply depending on which campus you will work. Your recruiter will advise accordingly.
During the Influenza ("the flu") season, as a condition of employment, The Johns Hopkins Institutions require all employees who provide ongoing services to patients or work in patient care or clinical care areas to have an annual influenza vaccination or possess an approved medical or religious exception. Failure to meet this requirement may result in termination of employment.
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