Biostatistician in , for Johns Hopkins University

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Biostatistician

Johns Hopkins University

Nationwide

Sr. Biostatistician

Johns Hopkins University

Nationwide

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Biostatistician

Johns Hopkins University

Details

Posted: 14-Oct-20

Location: Nationwide

Salary: Open

Internal Number: 41717-en_US

General Summary/Purpose

The Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health seeks a biostatistician to work as part of a data coordinating center study team and collaborate with epidemiologists, statisticians, project coordinators and investigators in a variety of fields to analyze and manage data with the aim of scientific publication. The successful applicant will contribute to the development and application of statistical methods to address research needs in a long-term, nationwide cohort study of HIV-infection and aging.

Specific Duties & Responsibilities

The Biostatistician will be responsible for analyzing large, complex data sets from a complex multi-site longitudinal study of HIV. Analysis includes both cross sectional and longitudinal analyses (Kaplan Meier, Cox, Survival Analysis etc.), nested designs, sample selection, and lagged measures. Opportunities to present work and coauthor publications in statistical and substantive journals necessitate excellent oral and written communication skills. Experience with manuscript and presentation preparation is desirable. The individual will be responsible for multiple initiatives and must be self-directed and able to work efficiently.

The primary activities of this position include:

Providing statistical design expertise, data management, and data analyses to answer research questions using longitudinal data
Participate as a co-author in preparation of manuscripts and presentations reporting study results.
Applicant must be willing to work collaboratively with a diverse team of investigators
Work with investigators to determine the statistical framework for answering the study objective
Drafting statistical analysis plans
Generate analytic data sets including longitudinal data sets
Analyze data to answer scientific questions
Identify potential problems with study data and collaborate with other staff to resolve issues
Documenting data management and analytic policies and principles including the archiving of code for the purposes of reproducibility of research findings
Preparing data tables and figures for publications and presentations at scientific meetings
Contribute to technical/scientific writing and reviewing drafts of reports, posters, and manuscripts, including writing up interpretation of analysis results and description of statistical methods used
Navigating shared files and contributing to shared files to create a transparent research workspace
Attend staff meetings and provide updates on status of projects

Minimum Qualifications

Master's degree in biostatistics, epidemiology, or related quantitative field.
One (1) 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, S-plus or R (proficiency with multiple statistical programs preferred). Opportunities to present work and coauthor publications in statistical and substantive journals necessitate excellent oral and written communication skills.

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.

Preferred Qualifications

Experience with manuscript and presentation preparation is desirable

Special Knowledge, Skills, and Abilities

Mastery of SAS, Stata, or R required.

SAS programming proficiency (mastery preferred)
R and STATA programming proficiency desirable
Microsoft Office programs (Word, Excel, PowerPoint, Outlook) proficiency
Experience performing longitudinal data analysis and survival analysis
Good problem-solving skills, including organizing and investigating possible solutions and presenting them to the team for discussion
Good organizational, written and verbal communication skills in the preparation and presentation of results
Good interpersonal skills in dealing with investigators and a

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About Johns Hopkins University

Johns Hopkins University remains committed to its founding principle, that education for all students should be grounded in exploration and discovery. Hopkins students are challenged not just to learn but also to advance learning itself. Critical thinking, problem solving, creativity, and entrepreneurship are all encouraged and nourished in this unique educational environment. After more than 130 years, Johns Hopkins remains a world leader in both teaching and research. Faculty members and their research colleagues at the university's Applied Physics Laboratory have each year since 1979 won Johns Hopkins more federal research and development funding than any other university. The university has nine academic divisions and campuses throughout the Baltimore-Washington area. The Krieger School of Arts and Sciences, the Whiting School of Engineering, the School of Education and the Carey Business School are based at the Homewood campus in northern Baltimore. The schools of Medicine, Public Health, and Nursing share a campus in east Baltimore with The Johns Hopkins Hospital. The Peabody Institute, a leading professional school of music, is located on Mount Vernon Place in downtown Bal...timore. The Paul H. Nitze School of Advanced International Studies is located in Washington's Dupont Circle area.

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