University of Washington
tendersglobal.net
Scheduled Hours
40
Position Summary
This position is primarily with the Translational Human Neurodegenerative Research (THuNDR) Laboratory that serves as the Neuropathology Core for The Charles F. and Joanne Knight Alzheimer Disease Research Center, the Washington University Movement Disorders Center, the Alzheimer’s Disease Neuroimaging Initiative (ADNI), The Dominantly Inherited Alzheimer Network (DIAN), and the DIAN Trials Unit (DIAN-TU). This individual will also interface with the Xiong Lab in the Center for Biostatistics, which will support the individual in working with these multiple large-scale projects to meet established standards and facilitate the individual’s growth within the biostatistics field.
This entry level position will assist with multiple research projects including coordination of large, multifaceted longitudinal research studies/projects by assisting with database design and implementation, data collection/management, and data quality control. Meets with supervisors and other staff members as needed to review progress.
Job Description
Primary Duties & Responsibilities
- Perform database management duties as part of several large NIH-funded longitudinal data repositories containing (but not limited to) neuropathologic data.
- Transfer QC’d data to national and local data repositories and to individual investigators who requested the data; track the data sharing.
- Monitor and evaluate data integrity. Perform quality control on all forms of data (paper, electronic, etc.);
- Assist in development of data capture forms and screens. Utilize REDCap and other EDC systems as required for generation of such forms and reports.
- Generate routine reports on statistics and figures and tables summarizing the current status of databases, using standard statistical packages, SAS, R, Python and STATA.
- Performs other duties as assigned (e.g., may assist in manuscript preparation).
Preferred Qualifications
- Master’s degree in biostatistics, statistics, informatics, and computer science or related field.
- Expert knowledge base and experience with database design, management, and analysis.
- PC/UNIX knowledge.
- Skills and demonstrated success in designing and executing appropriate statistical data analysis in SAS, R Python, or other packages.
- Experience in REDCap.
- Capable of assuming a leadership role.
- Effective verbal, written and interpersonal communication skills.
- Demonstrated organization skills.
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.
Grade
G11
Salary Range
$52,000.00 – $88,800.00 / Annually
The 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.
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
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Up to 22 days of vacation, 10 recognized holidays, and sick time.
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Competitive health insurance packages with priority appointments and lower copays/coinsurance.
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Want to Live Near Your Work and/or improve your commute? Take advantage of our free Metro transit U-Pass for eligible employees. We also offer a forgivable home loan of up to $12,500 for closing costs and a down payment for homes in eligible neighborhoods.
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WashU provides eligible employees with a defined contribution (403(b)) Retirement Savings Plan, which combines employee contributions and university contributions starting at 7%.
Wellness
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Wellness challenges, annual health screenings, mental health resources, mindfulness programs and courses, employee assistance program (EAP), financial resources, access to dietitians, and more!
Family
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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.
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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/AA Statement
Washington University in St. Louis is committed to the principles and practices of equal employment opportunity and especially encourages applications by those from underrepresented groups. 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, age, religion, sex, sexual orientation, gender identity or expression, disability, protected veteran status, or genetic information.
Diversity Statement
Washington University is dedicated to building a diverse community of individuals who are committed to contributing to an inclusive environment – fostering respect for all and welcoming individuals from diverse backgrounds, experiences and perspectives. Individuals with a commitment to these values are encouraged to apply.
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