EOE Statement:
Washington University is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, national origin, genetic information, disability, or protected veteran status.
Job Type/Schedule:
This position is full-time and works approximately 40 hours per week.
Department Name/Job Location:
This position is in the Department of Neurology. The position is located at 4488 Forest Park. This position is for the Medical School Campus.
Essential Functions:
POSITION SUMMARY: This statistics position will assist with projects within the DRIVES Lab of Washington University School of Medicine to ultimately help in producing scientific publications and grant proposals. The DRIVES lab primarily examines associations between normal aging, preclinical and symptomatic Alzheimer disease (AD), and driving. PRIMARY DUTIES AND RESPONSIBILITIES: - Curate, clean, combine, and process large amounts of data from multiple sources and manage the resulting databases for statistical analyses of both cross-sectional and longitudinal analyses.
- Conduct cross-sectional and longitudinal multivariate statistical analyses. Strong proficiency in SAS and R required.
- Report results of statistical analyses in written, graphical, and verbal form.
- Prepare datasets for sharing with lab collaborators.
- Assist in development of data capture forms and screens as needed.
- If not already known, be willing to learn how to use Python and ArcGIS mapping software to present study information graphically.
- Interact with the leaders and staff of the Knight Alzheimer Disease Research Center (ADRC) Biostatistics Core regarding data accrual, management, and analyses.
- Other duties as assigned.
Required Qualifications:
- Equivalent of Bachelor’s degree in a relevant field (such as, Math, Statistics, Computer Science or Epidemiology).
- Experience and proficiency with data analysis and data management utilizing statistical packages utilized by department/s.
Preferred Qualifications:
- Master's degree or PhD in Biostatistics, Epidemiology, Computer Science or related field with 3+ years experience various databases and statistical data analyses.
- Advanced proficiency in SAS, R, Python, JAVA, and other statistical packages.
- Advanced skills in graphically representing data in R and other software programs
- Working knowledge of office technology including word processing, spreadsheets and electronic communications.
- Working knowledge and/or experience with REDCap and SAS macro programming is a plus.
- The ideal candidate will possess computer programming experience, experience in a research environment, strong attention to detail, sound judgment, ability to work with minimal supervision, strong ability to follow instructions, excellent organizational skills and the ability to work successfully with others.
Salary Range:
The hiring range for this position is $47,986 - $61,194 annually.
Pre-Employment Screening:
All external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. Current employees applying for a new position within the university may be subject to this requirement. The screenings will include a criminal background check and, as applicable for the position, other background checks, drug screen, employment and education or licensure/certification verification, physical examination, certain vaccinations and/or governmental registry checks. All offers are contingent upon successful completion of required screening.
Benefits:
This position is eligible for full-time benefits. Please click the following link to view a summary of benefits: https://wustl.box.com/s/8wkhs25yssf0775x9d6nd6vqa7obpth7.
Internal Applicant Instruction:
This position is grade G10.
Please attach a copy of your most current signed performance evaluation (completed within the last 18 months) to your online account. If you have not received a performance evaluation, you may provide two current signed letters of recommendation (written within the last 18 months), preferably to include one letter from either a current or recent former supervisor. To attach these documents, go to: My Career Tools, Add Attachment, Attachment Type – Performance Reviews or Letters of Recommendation. |
