Job Title: Statistician I - Rush Preventative Medicine Research, Full Time
Department: Preventive Medicine
Job Number: 2021-3898
Date Posted: 09/20/2021
Position Type: Research
We are seeking a highly motivated full-time Statistician I to join our innovative Preventative Medicine Research department at Rush University Medical Center!
Flexible work arrangements included!
The Statistician I will perform data management and statistical analyses at the direction of the Assistant Director and, ultimately, the Director of the Data Management Center. The Statistician I is responsible for producing reports and summarizing results of analyses based on data from ongoing clinical trials and epidemiological studies such as the ELM trial, CHECK and SWAN. The Statistician I must be passionate about conducting quality research in diverse populations to improve the health of individuals. Exemplifies the Rush mission, vision, and values and acts in accordance with Rush policies and procedures.
Develop and document computer programs to manage, summarize, maintain, and describe scientific data resulting from biomedical research studies. Most programs will be written in the SAS programming language and executed on a PC.
Write and run SAS programs (including macros) to prepare descriptive summaries (frequencies, lists, plots) of database files and reports for multiple entities (i.e. study executive meetings, operations committees, Data Safety Monitoring Boards, Government Oversight or Funder, Institutional Review Boards); examine data to identify potential data inconsistencies.
Develop, run, and maintain programs to perform routine statistical and graphical analyses of biomedical data, under the direction of a Statistician Il or higher.
Document all datasets, SAS programs and output, clearly, to facilitate their interpretation and general use by other Data Management staff and research investigators.
Generate and maintain data management documentation such as data dictionaries/codebooks.
Participate in meetings with research investigators and staff by providing advice and support with respect to all issues related to data collection, data maintenance, and data analysis.
Prepare clear written summaries of analyses to facilitate their use by other Data Management staff as well as research investigators and staff.
Participate in meetings of the Section of Biostatistics & Epidemiology.
Master's degree in biostatistics or statistics is required and at least 2 years of analytic experience.
Competent in SAS programming, knowledge of SAS macro language, SAS certification is desirable
Competent in Microsoft Office (Word, Excel, Access, Power Point)
Good communication skills and ability to pay attention to accuracy.
Knowledge in SQL and REDcap is desirable.
Previous experience with analysis of biomedical or social science data is highly desirable.
Rush was recently ranked among the top 20 hospitals in the nation by U.S. News & World Report.
Rush was recently ranked first for Quality and Accountability among 102 leading academic medical centers in the US in a study conducted by the health care services company Vizient.
Ranked among the top academic medical centers in the country, Rush University Medical Center is an outstanding place to enhance your career. Everything we do centers on one goal: improving patient care.
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 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.