| Responsibilities: Perform statistical analyses and suggest statistical testing procedures for research questions identified by investigators and other researchers. Conduct sample size calculations for studies. Create analytic datasets from various study components and data collection instruments to be used in analyses performed by others including researchers, statisticians, and students. Design, create, and maintain databases and data collection tools to store study data and make sure the data are clean. Create and run reports for study component, recruitment, and retention tracking and help investigators plan the duration and pace of study enrollment. 30%- Perform and suggest procedures for analyses that are requested by investigators and other researchers to examine research questions. Perform statistical analyses for researchers to use in publications. This requires knowledge of statistical software (SAS) and appropriate statistical analysis techniques. Analysis tasks include running descriptive statistics, hypothesis testing for associations between variables for studies that are in process or completed and creating randomization schedules and sample size calculations important for the design of studies. This may be for grant writing, study preparation, during data collection, or following data collection. Knowledge of research methods and study subject matter are necessary for carrying out these analyses. 20%- Write code for programs to process data from multiple sources into various types of datasets to be used for progress tracking and analysis. Create analytic datasets to be used by investigators and other researchers for manuscript writing. Data may come from REDCap databases, FileMaker databases, Actilife, DietCalc, NDSR, etc. and the raw data is often processed into analytic variables according to study specific needs. Data processing is done in SAS including writing SQL procedures, IML procedures, macros, regular expressions, hash tables, etc. 20%- Create and run monthly progress reports for study recruitment and retention. Make projections about recruitment and create study component completion reports as needed. Reporting is most often created by SAS programs to process and output condensed, timely, and visually appealing tables and graphs involving data processing, grap hing, SAS ODS etc. 15%- Create, revise, and maintain databases in FileMaker and REDCap to meet study needs for contact management, recruitment, data collection. These databases include surveys, study component tracking, lab results and measurements. Databases may be linked to other databases, include multiple related tables, contain longitudinal data. This requires knowledge of table structure, relationships, calculations, arranging layouts, scripts, and using HTML and CSS. The databases must be adaptable and easy to use by study staff and in compliance with HIPAA and IRB policies. I train staff on functionality when necessary. 15%- Write and run SAS programs to search for missing data and data outliers or errors on a regular basis. Quality assurance programs and reports are created as necessary for different studies. These errors or ambiguities are then rectified with study staff when possible.
The University of Minnesota offers a comprehensive benefits package including:
- Competitive wages, paid holidays, vacation and sick leave
- Low cost medical, dental, and pharmacy plans
- Health care and dependent daycare flexible spending accounts
- Excellent retirement plans with employer match
- Disability and employer paid life insurance
- Wellbeing program with reduced insurance premiums
- Tuition reimbursement opportunities covering 75%-100% of eligible tuition
- Student loan forgiveness opportunity
- Opportunities for growth and promotion
- Employee Assistance Program
For more information regarding benefits: https://humanresources.umn.edu/sites/humanresources.umn.edu/files/2018_tcd-cslr-75100-ben-0105-7.pdf |
