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University of Pennsylvania

Temp: Clinical Research Database Developer A

등록일 : 2026-08-17
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기관명University of Pennsylvania
홈페이지https://www.upenn.edu
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Temp: Clinical Research Database Developer A

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 consistently ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers.

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.

Posted Job Title

Temp: Clinical Research Database Developer A

Job Profile Title

Temporary Employee - Non-Exempt

Job Description Summary

Temporary Employee - Non-Exempt

The Temporary Clinical Research Database Developer supports the development, implementation, validation, and maintenance of automated clinical and research data pipelines that integrate radiation oncology treatment data into the Children's Brain Tumor Network (CBTN) research infrastructure. The position serves as the primary technical resource for extracting, transforming, validating, and securely transferring radiation therapy data between Penn Radiation Oncology and the Children's Hospital of Philadelphia (CHOP). This role enables integration of radiation treatment, imaging, clinical, genomic, and biospecimen data to support pediatric brain tumor research, multicenter collaborations, and future AI-driven research initiatives. This position is expected to work a maximum of 20 hours per week position and is contingent upon grant funding.

Job Description

Temporary Employee - Non-Exempt

Responsibilities/Duties

  • Develop, maintain, and optimize automated radiation oncology data extraction and

    integration pipelines from Penn clinical systems.​
  • Validate extracted radiation therapy datasets, perform quality assurance, investigate
    discrepancies, and document corrective actions.
  • Design, implement, and maintain structured data mappings between Penn clinical systems, REDCap, O3 data model, and CBTN

    databases.Data engineering: Standardize radiotherapy data element extraction in O3 ontology format for AI/MLready
    datasets.
  • Support secure automated data transfer and interoperability between Penn, CHOP, and research infrastructure.
  • Collaborate with investigators, clinical faculty, research coordinators, data scientists, and institutional IT to support research initiatives and technical implementation.
  • Develop and maintain technical documentation, metadata standards, workflow documentation, and validation procedures.
  • Participate in pilot testing, workflow validation, and deployment of production ready data automation processes.
  • Support approved research projects by preparing datasets, assisting investigators, and participating in multidisciplinary planning meetings.
  • Monitor production systems, troubleshoot technical issues, and recommend workflow improvements to ensure reliable data acquisition and regulatory compliance.

Qualifications

Bachelor's degree and 2-3 years of experience required. Degree in computer science, data science, informatics or a comparable program preferred.

Position is contingent upon grant funding.

Job Location - City, State

Philadelphia, Pennsylvania

Department / School

Perelman School of Medicine

Pay Range

$7.25 - $34.49 Hourly 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.

Equal Opportunity Statement

The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state or local law.

Special Requirements

A background check may be required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job.

University Benefits

  • Health and Life: Penn offers comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits to protect you and your family's health and welfare.
  • Retirement: Penn offers generous retirement plans to help you save for your future. Penn's Basic, Matching, and Supplemental retirement plans allow you to save for retirement on a pre-tax or Roth basis. Choose from a wide variety of investment options through TIAA and Vanguard.

Please note that benefit eligibility is determined/based on ACA guidelines.

*Equal Employment Opportunity Statement

The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state, or local law.*

To apply, visit https://wd1.myworkdaysite.com/en-US/recruiting/upenn/careers-at-penn/job/Perelman-Center-for-Adv-Medicine/Temp--Clinical-Research-Database-Developer-A_JR00125155-1

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