Research Assistant Job at Virginia Commonwealth University
Virginia Commonwealth University (VCU) School of Medicine is a premier academic medical center located in the heart of Richmond. Accounting for almost half of VCU’s sponsored research, the School of Medicine is internationally recognized for patient care and education.
Virginia Commonwealth University is an equal opportunity, affirmative action university providing access to education and employment without regard to race, color, religion, national origin, age, sex, political affiliation, veteran status, genetic information, sexual orientation, gender identity, gender expression, or disability.
Position Summary
The department of biostatistics invites applications for an hourly research assistant position, requiring to work at least 20 hours per week, on missing data analysis of a hierarchical model for a partially observed binary outcome from a multisite intervention trial where children are randomly assigned to an intervention or a control within schools and where compliance to treatment assignment is imperfect. Under supervision of Dr. Yongyun Shin, the research assistant (RA) will program R code to implement a new missing data method to estimate the hierarchical model for binary outcomes, use the code to conduct a simulation study to validate the method and analyze data from the multisite trial, and coauthor a manuscript on the method and findings in Latex. In addition, the RA will make the R code user-friendly and accessible to a wide range of researchers. The employment will start in July, and last at least until December of this year.
Key Responsibilities:
Required Qualifications:
The School of Medicine continuously strives for our workplace and learning environment
to reflect the demographic and social milieu of the communities we serve. All qualified applicants are encouraged to apply.
This is a restricted position with no set end date and continued employment is dependent upon project need, availability of funding, and performance.
Virginia Commonwealth University is an equal opportunity, affirmative action university providing access to education and employment without regard to race, color, religion, national origin, age, sex, political affiliation, veteran status, genetic information, sexual orientation, gender identity, gender expression, or disability.
Position Summary
The department of biostatistics invites applications for an hourly research assistant position, requiring to work at least 20 hours per week, on missing data analysis of a hierarchical model for a partially observed binary outcome from a multisite intervention trial where children are randomly assigned to an intervention or a control within schools and where compliance to treatment assignment is imperfect. Under supervision of Dr. Yongyun Shin, the research assistant (RA) will program R code to implement a new missing data method to estimate the hierarchical model for binary outcomes, use the code to conduct a simulation study to validate the method and analyze data from the multisite trial, and coauthor a manuscript on the method and findings in Latex. In addition, the RA will make the R code user-friendly and accessible to a wide range of researchers. The employment will start in July, and last at least until December of this year.
Key Responsibilities:
- write R code to implement a new missing data method to estimate a hierarchical model for binary outcomes
- run a simulation to validate the method
- prepare sample data from a multisite trial for analysis
- estimate the model given the sample data
- write a manuscript on the method and findings in Latex
Required Qualifications:
- MS or PhD in Biostatistics or Statistics
- proficiency in R programming
- experience in missing data analysis and maximum likelihood estimation
- experience in numerical integration
- Must have a demonstrated commitment to fostering diversity and inclusion in past experiences or a commitment to do so as an hourly employee at VCU
The School of Medicine continuously strives for our workplace and learning environment
to reflect the demographic and social milieu of the communities we serve. All qualified applicants are encouraged to apply.
This is a restricted position with no set end date and continued employment is dependent upon project need, availability of funding, and performance.
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