Data Coordinator - Profound Autism Research Study

Children’s Hospital of PhiladelphiaPhiladelphia, PA
$83,700 - $106,700Onsite

About The Position

Serves as the primary data liaison for a clinical research team conducting a Longitudinal Natural History Study (LNHS) in autism spectrum disorder. Monitors all study data streams to ensure submissions are complete, accurate, and on schedule; investigates and resolves data quality issues in collaboration with Research Assistants, Research Coordinators, and the Data Coordinating Center (DCC). Serves as the primary point of contact between the site team and external data partners including the DCC, Clinical Coordinating Center (CCC), study sponsor, and long-term data repository.

Requirements

  • Bachelor's Degree clinical informatics, sciences, math, statistics, healthcare management or other healthcare related degree Required
  • Proficient in Microsoft Access, Excel, and PowerPoint.
  • Experience working with datasets, combining data from a multitude of sources.
  • Ability to convey complex or technical information in a manner that others can easily understand.
  • Ability to manage multiple projects, work independently, take initiative and implement problem-solving capabilities.
  • Ability to work under stress and meet deadlines.
  • Strong ethical conduct and ability to work with confidential and highly sensitive information.
  • Good interpersonal skills; ability to work with clinical leaders in the use of data for improvement.

Nice To Haves

  • Master's Degree Preferred
  • Experience with UKG (Ultimate Kronos Group formerly Kronos) Preferred
  • Experience using data to improve the quality of healthcare Preferred

Responsibilities

  • Monitors all incoming study data (clinical assessments, EHR, EEG, wearable/digital biomarker data, biospecimens) to confirm submissions are complete and on schedule.
  • Reviews data for completeness and accuracy before submission reaches the DCC; identifies and addresses errors early.
  • Receives and triages quality flags from the DCC; investigates root causes (data entry error, missed visit, equipment issue, protocol misunderstanding), determines who needs to be involved, and drives resolution to closure.
  • Tracks open data issues and follows up with staff to ensure flagged items are corrected and resubmitted in a timely manner.
  • Provides regular status reports to study leadership on data completeness, submission timelines, and outstanding issues.
  • Consults with Research Assistants and Research Coordinators on correct use of data collection tools and Electronic Data Capture (EDC) systems such as REDCap.
  • Provides training and ongoing guidance on data collection SOPs, data organization, and open science best practices.
  • Identifies recurring error patterns and delivers targeted retraining to prevent downstream quality issues.
  • Promptly notifies study leadership of roadblocks that will impede data collection, submission, or analysis.
  • Serves as the primary point of contact between the site research team and external technical partners (DCC, CCC, study sponsor’s data team, and long-term data repository) from project initiation through data release.
  • Coordinates upload and transfer of data to the DCC; manages communication during processing, harmonization, and quality control until datasets are finalized for release.
  • Tracks dataset status and submission readiness; communicates updates to external partners and consortium staff on a regular basis.
  • Collaborates with the CCC and DCC on metadata standards; ensures comprehensive metadata capture throughout the data lifecycle.
  • Ensures the site follows established SOPs, data dictionaries, metadata templates, and submission workflows set by the DCC; flags deviations and works with the Project Manager to bring the site back into compliance.
  • Maintains accurate, up-to-date records of data collection, submission, correction, and finalization status so that the state of any dataset is always known and reportable.
  • As needed, ensures site alignment with DCC-centralized analysis pipelines, computational models, and standardized processing tools.
  • Assists research staff in preparation and analysis of data for routine and special requests; supports the Project Manager and site leadership in preparing the annual Project Progress Report.
  • Participates in regularly scheduled Data Manager Community meetings and cross-site coordination calls with LNHS stakeholders and consortium Data Managers.
  • Optionally participates in international working groups and interest groups to support cross-network collaboration.
  • Attends annual in-person grantee meetings and other sponsor-mandated meetings.

Benefits

  • Annual influenza vaccine
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