Supports faculty, students, residents and fellows in study design (including randomization, sample size, and power analysis), data management, data quality checking and statistical analysis for all aspects of biomedical research, ranging from basic science and preclinical studies to clinical studies including clinical trials, genetic, epidemiological/population and health services/outcomes research. 2. Prepares statistical method sections and data analysis reports appropriate for grant applications, presentations, manuscripts and DSMB. Recommends analytical design for a broad range of data. Recommends the most appropriate statistical procedures for evaluation of outcome of studies. 3. Establishes and maintains functional log and fee-for-service system. 4. Interacts with data mining group in Information Technologies for data acquisition from systems on site as well as at other institutions. 5. Uses a wide variety of statistical procedures including but not limited to categorical data analysis, exploratory and graphical methods, analysis of variance, correlation analysis, multiple linear regression, time series analysis; logistic regression, survival analysis, spatial analysis, and non-parametric methods. 6. Performs other duties as required.
-Master’s degree required; PhD preferred
-Ability to follow verbal and written instructions and established procedures -Ability to maintain accuracy and consistency -Ability to communicate verbally -Ability to finish tasks in a timely manner -Ability to maintain confidentiality -Ability to analyze and interpret data -Ability to function independently and manage own time and work tasks -Ability to work as an effective team member -Ability to organize workflow -Ability to plan, coordinate and develop multiple projects
Masters Degree in Biostatistics required; PhD Preferred Required: 3-5 years of previous job-related experience Preferred: 6-10 years of previous job-related experience
Intermediate to advanced proficiency in the use of statistical software such as R, SAS, STATA, and/or SPSS required. Proficiency with Microsoft Office Suite, Internet, email applications.
Internal Number: 8150626
About Loyola University Chicago
Loyola University Chicago is an Equal Opportunity/Affirmative Action employer with a strong commitment to hiring for our mission and diversifying our staff. As a Jesuit Catholic institution of higher education, we seek candidates who will contribute to our strategic plan to deliver a Transformative Education in the Jesuit tradition.
Information on Loyola as an employer/educator can be found at http://www.luc.edu
For more information on our mission and the university's focus on transformative education in the Jesuit tradition, please visit http://www.luc.edu/mission/mission_vision.shtml