Clinical Data Specialist (OBGYN - Pregnancy & Perinatal Center)
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. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers in 2023.
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
Clinical Data Specialist (OBGYN - Pregnancy & Perinatal Center)
Job Profile Title
Specialist, Clinical Data
Job Description Summary
This position supports clinical operations, clinical research teams, external sites, and alliance partners to ensure accuracy, efficiency, and complete data collection from clinical study sites. This role supports clinical data management activities across the study lifecycle, emphasizing data accuracy, process adherence, and cross functional collaboration.
Job Description
Job Responsibilities
The Clinical Data Specialist is responsible for providing clinical data management and operational support for clinical research studies initiated by the Pregnancy & Perinatal Research Center, including the ECHO study, as follows:
- Ensure accurate, efficient, and complete data collection from clinical study sites. Writing, reviewing and maintaining electronic case report completion guidelines, data management plan, data validation plan, and other data management related documentation
- Perform all aspects of clinical data management process as related to processing and quality control of the data. Clean data for study close out and perform all database lock procedures. Conduct data quality review and validation activities, including basic descriptive analyses using programming languages such as SAS or Python, as appropriate
- Monitor study status and provide status reports to the team
- Write and review data management SOPs in accordance with guidelines
- Develops associated training and competency testing. Represent the data management function on project teams
- Other duties as assigned
*Position contingent upon continued funding*
Qualifications
The ideal candidate will bring a strong attention to detail, the ability to work across cross‑functional teams, and technical proficiency in Python or R to support data validation and quality oversight in a regulated research environment.
- Bachelor of Science and 3 to 5 years of experience or equivalent combination of education and experience is required.
- Experience in database cleaning, management, development
- Familiarity with electronic health record systems, including EPIC
- Descriptive programming skills to support data quality review and validation
- Competency in programming languages such as R or Python
Job Location - City, State
Philadelphia, Pennsylvania
Department / School
Perelman School of Medicine
Pay Range
$62,000.00 - $74,434.00 Annual Rate Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, and in alignment with salary ranges based on external market data for the job's level. Internal organization and peer data at Penn are also considered.
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