Senior Data Manager
The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn’s distinctive interdisciplinary approach to scholarship and learning.
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The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more.
Job Description Summary
The Division of Health Policy and the Center for Health Incentives and Behavioral Economics is seeking a Sr. Data Manager to create a robust research data infrastructure, including data management activities, ensuring all current data security and confidentiality requirements are being met, overseeing adoption of the best practices in data and analytics management, and ensuring the replicability of research results., The Sr. Data Manager will also create and manage a secure data enclave/archive that will allow for sharing of finalized data sets.
The Sr. Data Manager will work under direct supervision by the leadership in Data Analytics and Research Operations and be responsible implementing policies and procedures governing data practices. The Sr. Data Manager will maintain a centralized data tracking system, manage data storage, access and reporting, audit study closeouts and supervise/perform replicability analyses. The person will maintain a DUA tracking system across the division/center and liaise with PMACS for server use and data documentation. The Data Manager will manage a data archive/enclave, help to standardize coding, project documentation and work with other research staff on adopting best data management practices. The person will help de-identify datasets as needed and provide consultation or direct data support to researchers who want to re-use data for historical studies or for conducting meta-analysis. Routine data management task includes data receiving, storage, initial data processing, data normalization/standardization and producing descriptive/statistical reports.
This position requires sophisticated programming skills in multiple statistical languages in SAS and STATA. Experience working with claims data, health surveys, clinical trials and/or other large, complex relational databases is essential. In order to be successful, the candidate must have strong written and verbal communication skills and an understanding of research practices and design considerations. Strong statistical skills, working knowledge of EHR data query using SQL and experiences working on UNIX/LINUX server are required.
The Sr. Data Manager will work with the other members of the HP/CHIBE Data Management Core to develop and uphold best practices for data handling, programming, project organization and documentation to enable both the division and center to consistently and efficiently produce high-quality research. This individual will also be a point of contact for questions regarding handling data in compliance with the requirements of the University as well as data providers and funding organizations.
QUALIFICATIONS: (Qualifications should clearly indicate those that are required and those that are preferred.)
- Bachelor's Degree in related fields such as Public Health, Epidemiology, Economics, Informatics and Statistics is required. Master's Degree preferred.
- Requirement of 4 years of experiences of organizing and analyzing progressively more complex data centric projects in a healthcare setting (particularly RCTs) using health data such as surveys, registries, claims/clinical data and/or other large, complex relational databases
- Experience in verifying, documenting, cleaning and analyzing large data files on UNIX/LINUX system and strong organizational/project management skills are required
- Familiarity with data management routines, research protocols, coding conventions and broad knowledge of statistical tools is required
- Ability to work both independently and with a team and to prioritize tasks with excellent verbal and written communication skills is required
- Proficiency in SAS and SQL is required; additional skills in Statistical programming such as STATA and R is strongly preferred. Experiences in Electronic Health Records such as Clarity/EPIC database are a plus
Office, Library, Computer Room
Typically sitting at desk or table
Job Location - City, State
Department / School
Perelman School of Medicine
$72,837.00 - $205,981.00
Affirmative Action Statement
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