Research Project Manager C

Job Details

Research Project Manager C

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.

Posted Job Title

Research Project Manager C

Job Profile Title

Manager Research Project C

Job Description Summary

The Department of Radiology at the Perelman School of Medicine at the University of Pennsylvania seeks a highly organized and intellectually engaged Research Project Manager to support the execution of a large, multidisciplinary research program focused on biomedical discovery and clinical translation. This in-person position will serve as a central coordinating and operational hub for a complex research initiative that integrates multiple scientific domains, including blood and biofluid biomarkers, multimodal imaging, electrophysiology, clinical assessments, and demographic data. The program involves collaboration across investigators, clinicians, and data scientists.

Job Responsibilities

Program Coordination and Research Management

• Serve as the central operational coordinator for a large multidisciplinary research program.
• Work closely with Principal Investigators and collaborating teams to align scientific, technical, and operational activities.
• Track project milestones, timelines, and deliverables across multiple teams and institutions.
• Organize project meetings, maintain documentation, and monitor progress toward program goals.

Scientific Synthesis and Literature Review

• Conduct targeted literature reviews to inform research directions and protocol development.
• Summarize scientific findings and provide concise briefs to investigators and collaborators.
• Assist in synthesizing emerging research relevant to program goals.

Technical Writing and Research Documentation

• Draft and edit technical documents including: Progress reports, Statements of Work (SOW), Plans of Work (POW), Program updates for sponsors and collaborators, Internal research documentation.
• Assist in preparing materials for funding agencies, institutional stakeholders, and project partners.

Data Coordination and Quality Oversight

• Coordinate data acquisition across multiple modalities, including: Blood and biofluid biomarkers, Imaging, Electrophysiology, Clinical assessments, Demographic and patient-reported data.
• Ensure that incoming data adhere to project standards and expected formats.
• Maintain documentation for data management workflows and assist with quality oversight.

Clinical Research Integration

• Develop familiarity with relevant clinical procedures and research protocols.
• Coordinate with clinical research staff to ensure alignment between clinical data collection and research needs.

Strategic Program Support

• Translate scientific ideas and research goals into operational plans.
• Identify workflow gaps and propose solutions.
• Support investigators in organizing complex research initiatives into structured programs.

Qualifications

Required

• Master's degree and 5 to 6 years of experience in a biomedical, engineering, data science, or related field or an equivalent combination of education and experience required.
• Strong organizational and project management skills.
• Excellent written communication and technical writing ability.
• Ability to synthesize complex scientific information clearly and efficiently.
• Experience coordinating multiple components of a research or technical project.

Preferred

• PhD or equivalent advanced training in a biomedical or scientific discipline.
• Experience working in multidisciplinary biomedical research environments.
• Familiarity with clinical research, biomarker studies, or multimodal data integration.