Position: Other Employer: Case Western Reserve University Location: 10900 Euclid Avenue, 44106 Cleveland, Ohio, United States of America (USA) Application deadline: Sep 1, 2010 Job description
The objective of the position is to provide biostatistical and data management support for all research projects in the groups of Li Li, MD, PhD and Cheryl L. Thompson, PhD in the Department of
Family Medicine, Research Division. The biostatistician will play a leadership role in all aspects of data analyses, data management and report generation for multiple ongoing epidemiological
research projects. The biostatistician will be integrally involved in all aspects of research project design, quality assurance monitoring and preparation of research reports and grant
applications. This position functions under minimal supervision.
1. Study Design - Working with other researchers in our group, the biostatistician will work to develop appropriate methodologies for addressing study hypotheses. The biostatistician will be
expected to participate in the research design phase of projects and in the preparation of research proposals for funding. This work will be comprehensive and will include developing approaches
for data collection (e.g., questionnaire format), data flow and tracking, assuring the integrity of the data, and methods for implementing data analysis.
2. Data Analysis - The biostatistician will consult with clinical investigators to determine appropriate statistical approaches and perform statistical programming and analysis for multiple research
studies. This will include creation of analytic datasets, summarization of data and creation of reports. The biostatistician will work with other team members to develop and implement
analytic approaches including, but not restricted to, multiple linear regression, logistic regression, methods for correlated data, and survival analysis, and then assesses the appropriateness of
final statistical models. Documentation of methods and results via written memoranda and reports will also be required.
3. Data Management - The biostatistician will work with other clinical and programming personnel to design, develop, and maintain appropriate databases, established using SAS, Microsoft Access,
REDCap and other software packages. Programs will be developed to ensure data integrity (e.g., logic and range checks, double-data entry procedures). The biostatistician will need to perform
intermediate statistical programming to allow transfer of complex physiological and biological data captured using proprietary software to the research group's databases and to various statistical
programs (e.g., SAS). Development of efficient data archival systems for use with multi-center collaborations is also necessary. Detailed written documentation will need to be maintained
for all data programming and data archival systems.
4. Prepare Research Reports - The biostatistician will assist in the writing and preparation of research papers, including internal documentation, academic publication and research presentations at
conferences and meetings.
Experience: a minimum of three years of work experience in an increasingly responsible position in biomedical research or social science research environment housed in a university, nonprofit
research organization or similar setting. Experience in the analysis of genetic epidemiological data is strongly preferred.
Education/Licensing: Master's degree in biostatistics, genetic epidemiology or a similar field is required.
1. Ability to work semi-independently with direct but limited guidance
2. Ability to work and communicate knowledgeably in collaboration with other team members including geneticists, statisticians, investigators, clinicians, programmers, project coordinators and study
3. Excellent oral and written communication skills, flexibility and the ability to interact with a diverse and large research team
4. Hands-on experience in Web databases
5. Ability to use Microsoft office products such as Word, Power Point, Excel and Access
6. Ability to use statistical software packages, such as SAS, and familiarity with statistical genetics software packages, such as S.A.G.E., a necessity
General office working environment.
In employment as in education, Case Western Reserve University is committed to equal opportunity and world class diversity