Statistician 1, Medicare - Rush Alzheimer's Disease Center
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Chicago, IL 60684
Statistician 1, Medicare – Rush Alzheimer’s Disease Center
Alzheimer Disease Center
Active Regular FT (72 to 80 hours per pay period)
The Rush University Alzheimer’s Disease Center (RADC) is the leading experimental and epidemiological center for the study of Alzheimer’s disease, which has no preventative drugs, and is expected to soon triple in incidence. Over the past two decades, the RADC has carried out numerous community-based cohort studies to better understand Alzheimer’s disease and aging.
The RADC is currently seeking the right candidate for a Statistician 1 position. TheStatistician 1 will be responsible for performing analyses on linked Medicare claims records and research data from RADC research studies. Experience with claims data, especially Medicare research identifiable files preferred.
Under the direction of the Supervising Statistician the Statistician I will be responsible for performing basic analyses of research data from Rush Alzheimer’s Disease Center (RADC) research studies. Exemplifies the Rush mission, vision and values and acts in accordance with Rush policies and procedures.
1. Under direction of Supervising Statistician, write and run programs in SAS and S-Plus to provide descriptive summaries of database files, including frequencies, lists, and plots; examine data to track down potential data inconsistencies.
2. Write and run programs in SAS and S-Plus to carry out statistical analyses of biomedical data including categorical data, generalized linear models, longitudinal data, censored failure time data, nonparametric and parametric tests, and graphical analyses.
3. Prepare clear and written output of basic analyses for other research faculty and staff.
4. Under general supervision of Supervising Statistician, document basic datasets, programs and output clearly to permit their checking and use by other biostatistics personnel.
5. Continually learn to use and apply new statistical techniques necessary to meet the demands of funded studies.
6. Participate in meetings of Biostatistics section.
Position Qualifications Include:
- Master’s degree in statistics or biostatistics required.
- At least 2 years of work experience performing statistical analysis of biomedical or social science data is strongly desirable.
Skills & Abilities:
-Ability to write and run programs in SAS or R required.
-Experience with claims data, especially Medicare research identifiable files preferred.
-Competence in Microsoft Office: Word, Excel, Access, PowerPoint.
-Good written and oral communication skills.
-Attention to detail required.
-Basic statistical programming skills required.
-Ability to function in a team environment essential.
-Must be able to prioritize workload and be self-directed.
-Ability to handle multiple projects required.
+ Rush was recently ranked among the top 20 hospitals in the nation by U.S. News & World Report.
+ Eleven Rush programs were recently ranked among the nation’s best by U.S. News & World Report.
+ Rush was recently ranked first for Quality and Accountability among US academic medical centers in a study conducted by the health care performance improvement company Vizient.
+ The Association for the Accreditation of Human Research Protection Programs (AAHRPP) has awarded Rush full accreditation for three years. Rush is one of the first academic medical centers in Illinois to receive this accreditation.
+ As an academic medical center, Rush University Medical Center in Chicago, Illinois, is committed to advancing medical knowledge through research. Investigators at Rush are involved in more than 1,600 projects, including hundreds of clinical studies to test the effectiveness and safety of new therapies and medical devices, as well as to expand scientific and medical knowledge.
+ Rush University is home to one of the first medical colleges in the Midwest and one of the nation’s top-ranked nursing colleges, as well as graduate programs in allied health, health systems management and biomedical research.
Rush is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.