Data Coordinator

University of Pennsylvania
Closing date
Jul 16, 2033

Job Details

Data Coordinator

University Overview

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.

Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play.

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.

Posted Job Title
Data Coordinator

Job Profile Title
Research Coordinator

Job Description Summary
The CORONA (COvid19 Registry of Off-label & New Agents) project is the world's largest database dedicated to identifying and tracking all treatments reported to be administered to COVID-19 patients. Housed within the Center for Cytokine Storm Treatment & Laboratory (CSTL) at the University of Pennsylvania, CORONA is providing real-time data and insights to guide clinical trial design and inform the global effort to identify treatments for COVID-19 in partnership with Google Health, FDA, Parker Institute for Cancer Immunotherapy, and others.

Job Description

Due to the major unmet need, the CSTL, in partnership with the Division of Translational Medicine & Human Genetics and the Fajgenbaum lab, is now expanding CORONA to include a new STORM (Systematic Tracker Of Repurposed/new Medicines) tool and searching for a talented, experienced, and motivated data coordinator to extract, interact with, and analyze data from this expansive dataset. In addition to continuing to track all treatments administered to COVID-19 patients, STORM will also integrate and track all pre-clinical treatment data and clinical trial data and enable the search for patterns, identification of promising drugs that need to be evaluated in clinical trials, and facilitate the development of recommendations to strengthen the global effort to combat COVID-19. In one place, government agencies, academic researchers, philanthropic organizations, and biopharmaceutical companies will be able to access all data at no cost on all potential treatments for COVID-19. The data coordinator will be tasked with performing manual data extractions and database entry from the published literature and other data sources, supporting automated extractions, database querying and management, and supporting analyses of data to help achieve our overarching goal of accelerating the identification of effective COVID-19 treatments. He or she will report directly to the CORONA Managing Director. This position offers the opportunity to contribute to a major national initiative directed against COVID-19 and interface broadly with stakeholders from around the world.

Qualified candidates will have experiences with data extraction, an understanding of basic medical terminology, and familiarity with virology, immunology, and drug repurposing. This is a unique opportunity to join a highly motivated, patient-focused team that works closely with international collaborators and the federal government to make and publish novel discoveries that will have a significant impact on patients who have COVID-19 and other diseases with major unmet medical need.


Perform data extractions and database entry from the published literature and other data sources (medical record, claims databases, patient surveys, physician surveys, etc.)

Manage databases, data queries, and data resources. Update and maintain data entry protocols. Track and present a variety of metrics on reported progress. Lead weekly data entry meetings and provide data entry training as needed to new members of the team.

Support performance of automated data extractions and analyses of data in partnership with the bioinformatician/computational biologist.

Perform additional duties as assigned

***Position is contingent upon funding***

  • Bachelor's Degree + 1-2 years of a combination of relevant academic and work experience or equivalent combination of education and experience
  • Experience with data extraction required
  • Understanding of basic medical terminology required
  • Familiarity with medical terminology required
  • Experience with literature reviews preferred
  • Experience with data query, data mining, and data auditing preferred
  • Experience entering data in REDCap, Qualtrics or other similar data entry systems is preferred
  • High level of attention to detail, organizational skills and commitment to accuracy is required. Interest in performing repetitive data entry.
  • Possess good data review methodologies that ensure accurate and precise data monitoring.
  • Comfort in an “iterative environment” in which periodic rework is inevitable.
  • Excellent organizational and time management skills
  • Self-starter with a strong desire to contribute and work collaboratively to achieve goals
  • Ability to work independently and apply critical thinking and sound judgment
  • Excellent oral/written communication skills with exceptional attention to detail.

Working Conditions
Office, library, computer room

Physical Effort
Typically sitting at a desk or table

Job Location - City, State
Philadelphia, Pennsylvania

Department / School
Perelman School of Medicine

Pay Range
$36,401.00 - $65,521.00

Affirmative Action Statement
Penn adheres to a policy that prohibits discrimination on the basis of race, color, sex, sexual orientation, gender identity, religion, creed, national or ethnic origin, citizenship status, age, disability, veteran status, or any other legally protected class.

Special Requirements
Background check required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job.

To apply, visit

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Welcome to the University of Pennsylvania! Penn is the largest private employer in Philadelphia and is a world-renowned leader in education, research, and innovation.  

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