Statistical Data Analyst II - General Medical Sciences
Location: Washington University Medical Campus
Remote Type: On Campus/Onsite
Time Type: Full time
Job Description
Scheduled Hours
40Position Summary
Division of General Medicine and Geriatrics Research Unit in the Department of Medicine is looking for an enthusiastic and independent Statistical Data Analyst II, with training in epidemiology and/or biostatistics, with 2-3 years of work experience, to join our team. Research focuses on cardiovascular disease in Haiti.Our work includes studies in clinical epidemiology, clinical trials, and implementation science. Will report to Dr. Molly McNairy, Professor of Medicine in the Department of Medicine, and work with a team of research staff, students, fellows, and faculty at WashU and at our international sites. Will be responsible for preparing, developing and managing observational and clinical trial databases, developing and managing longitudinal datasets, data analysis, quality assurance activities, and data visualization. Will support these data activities for manuscripts, grant submissions, and programmatic needs. Ability to work independently, problem-solve data management issues, learn new data analytic skills, and communicate clearly is key.
Job Description
Primary Duties & Responsibilities:
Develop and analyze databases/datasets using statistical analysis programs.
Create automated codes to depict study metrics.
May collaborate with expert consulting statisticians to identify appropriate analytic procedures.
Audit and clean data, conduct statistical analyses.
Assist researchers with interpretation of statistical test results.
Create graphs, tables, and charts to depict results.
Develop narrative descriptions of results for policy articles, journal articles, and grant proposals.
Assist in database design.
Perform other duties as assigned.
Working Conditions:
Job Location/Working Conditions
Normal office environment.
Physical Effort
Typically sitting at a desk or table.
Equipment
Office equipment.
Required Qualifications
Education:
Bachelor’s degree or combination of education and/or experience may substitute for minimum education.
Certifications/Professional Licenses:
Work Experience:
Skills:
Driver's License:
More About This Job
Preferred Qualifications:
- Experience working on manuscripts, quantitative data analysis including longitudinal data analysis, multi-level modeling.
- Complete proficiency in R and experience using Rmarkdown.
Needs work authorization for the US (unfortunately we are not able to provide work sponsorship at this time). Individuals eligible for STEM-OPT are welcome.
Preferred Qualifications
Education:
Master's degree
Certifications/Professional Licenses:
Work Experience:
Skills:
Adobe Creative Studio, Climate Change Mitigation, Cross Sectional Analysis, Cross Sector Collaboration, Cultural Humility, Data Analysis Tools, Data Analytics, Data Visualization, Diversity Sensitivity, Energy Sectors, Executive Summary, Graphic Design, Greenhouse Gas Accounting, Microsoft Excel, Oral Communications, Python for Data Analysis, Quantitative Analytics, Service Oriented, Tableau (Software), Teamwork Orientation, Technical Translations, Workplace Diversity, Written CommunicationGrade
G11Salary Range
$53,100.00 - $90,600.00 / AnnuallyThe salary range reflects base salaries paid for positions in a given job grade across the University. Individual rates within the range will be determined by factors including one's qualifications and performance, equity with others in the department, market rates for positions within the same grade and department budget.Questions
For frequently asked questions about the application process, please refer to our External Applicant FAQ.
Accommodation
If you are unable to use our online application system and would like an accommodation, please email [email protected] or call the dedicated accommodation inquiry number at 314-935-1149 and leave a voicemail with the nature of your request.
All qualified individuals must be able to perform the essential functions of the position satisfactorily and, if requested, reasonable accommodations will be made to enable employees with disabilities to perform the essential functions of their job, absent undue hardship.Pre-Employment Screening
All external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. The screenings will include criminal background check and, as applicable for the position, other background checks, drug screen, an 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 Statement
Personal
Up to 22 days of vacation, 10 recognized holidays, and sick time.
Competitive health insurance packages with priority appointments and lower copays/coinsurance.
Take advantage of our free Metro transit U-Pass for eligible employees.
WashU provides eligible employees with a defined contribution (403(b)) Retirement Savings Plan, which combines employee contributions and university contributions starting at 7%.
Wellness
Wellness challenges, annual health screenings, mental health resources, mindfulness programs and courses, employee assistance program (EAP), financial resources, access to dietitians, and more!
Family
We offer 4 weeks of caregiver leave to bond with your new child. Family care resources are also available for your continued childcare needs. Need adult care? We’ve got you covered.
WashU covers the cost of tuition for you and your family, including dependent undergraduate-level college tuition up to 100% at WashU and 40% elsewhere after seven years with us.
For policies, detailed benefits, and eligibility, please visit: https://hr.wustl.edu/benefits/
EEO Statement
Washington University in St. Louis is committed to the principles and practices of equal employment opportunity. It is the University’s policy to provide equal opportunity and access to persons in all job titles without regard to race, ethnicity, color, national origin, citizenship (where prohibited by federal law), age, religion, sex, sexual orientation, gender identity or expression, disability, protected veteran status, or genetic information.There are more than 50,000 engineering jobs:
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