| Company Information:
Statistical Analyst for The Leon H. Division of Cardiology within NYU School of Medicine will be responsible for interaction with members of the Cardiovascular Research Clinical Center, Cardiovascular Division, the Biostatistics Department and the newly created Cardiovascular Outcomes Group. The ideal candidate will be masters prepared and have experience in study design, statistical analysis. The successful person must also be technically competent with practical experience in the development and implementation of statistical methods and systems and possess a strong desire to enhance their professional growth within the field of biomedical studies, outcomes research and statistics. We are invested in continuing to educate and develop skills through collaborative research, promoting participation in biostatistics seminars within NYU School of Medicine, encouraging the candidate to lead on abstract publications for secondary analysis of data, and attend conferences related to our research.
Position Title:
Statistical Analyst
Duties & Responsibilities:
Collaborate with the Biostatistics Department on Cardiovascular related research data and data management Strong computational skills, especially for databases Collaborate and assist in study design for prospective, retrospective studies and analyses Participate and deliver lectures on study design and basics of statistical analysis and trial interpretation Demonstrates knowledge of the organizations core values and incorporates them into duties Under general direction, plans, designs, and implements statistical analyses for epidemiologic research projects Maintains and manipulation of large database, including creating variables Analyzes and interprets statistical data for manuscripts and progress reports Collaborates with other statistical colleagues and study personnel to provide input to statistical analysis plans Assists in and/or be accountable for selecting statistical methods for data analysis, authoring the corresponding sections of the data analysis plan, and conducting the actual analysis once a reporting database is created Maintains proficiency with respect to SAS programming and statistical methodology and in applying new and varied methods Plans and implements data quality assurance plans and data checking Effectively justifies methods selected and implement previously outlined analysis plans Collaborates with other statistical colleagues to write reports and communicate results
Position Qualifications:
Master's degree in biomedical studies, statistics, applied mathematics, or biostatistics from an accredited university. Minimum of three years of experience in the SAS programming language and statistical procedures. Knowledge of principles and methods of biostatistics and demography; principles, theories, and procedures, including study design, statistical analysis, and causal inference A strong background in mathematics and statistics of data analysis Experience with Data Modeling, Visualization tools and a number of databases (SPSS, SAS, R, MatLab ,STATA) Experience with analyzing complex data using statistical computer software and other tools Experience developing study plans and research designs Experience with survival analysis Experience with SAS programming Experience with systematic reviews and meta analysis. Experience with usage of Bayesian methodology (including MCMC) for meta analysis is desirable Training in basic theory and proven ability to create SAS (R or MatLab) programs to implement linear regression models, linear mixed models, generalized linear models, generalized linear mixed models, non-linear models, survival analysis, simulation studies (e.g. MCMC), exact methods, bootstrap Knowledge of current research and trends in public health; appropriate computer processing methods used to generate, organize and display statistical and research data; and standard English grammar, spelling, and usage Ability to apply mathematical formulas and make calculations Ability to select and apply appropriate statistical methods for collecting and summarizing varied and complex field data Ability to gather, organize, analyze, and report biostatistical data; evaluate possible intervention strategies Ability to apply epidemiological and biostatistical design method theories and advanced statistical analysis Ability to design, develop, and maintain manual and/or computerized databases; use computer software programs to perform statistical analysis Ability to read and understand complex technical information in mathematical or diagrammatical form Ability to speak and write clearly, concisely, and logically; and establish and maintain cooperative relationships with representatives from other departments, general public, and outside organizations
Salary Range:
OPEN
Benefits:
Medical, dental, optical, prescription, 403B, paid vacation and sick time.
Web Site:
http://www.med.nyu.edu/
Application Address:
Jeffrey J. Holt, MPA Divisional Administrator The Leon H. Charney Division of Cardiology Department of Medicine 522 First Avenue SML-7, Room 701C New York, NY 10016
Contact Email: jeffrey.holt@nyumc.org
Application Deadline:
10/21/2011
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