Clinical Data & Outcomes Specialist (Oncology)

UT Southwestern

Dallas (TX)

In loco

USD 65.000 - 90.000

Tempo pieno

14 giorni+

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Descrizione del lavoro

UT Southwestern Medical Center in Dallas is seeking a data abstraction specialist to ensure the accuracy and completeness of clinical data for research and regulatory reporting. You will gather, evaluate and enter data, monitor data quality, and support program reporting timelines.

Preferred experience in oncology data abstraction and integrity management, with a track record of delivering clean datasets for QA meetings and official submissions.

Competenze

  • Bachelor's degree required; alternate with an Associate's plus relevant experience.
  • 2 years in the medical field with data abstraction/outcomes reporting/regulatory experience required with a Bachelor's Degree; or 4 years with an Associate degree.

Mansioni

  • Gather, evaluate and enter clinical data to ensure receipt, completeness, and accuracy of research and departmental data requirements.
  • Monitor data and reports submitted to regulatory agencies to meet reporting requirements on time.
  • Ensure compliance with regulatory aspects and maintain related databases.
  • Develop, prepare and present reports and descriptive statistics for QA, Mortality and Morbidity meetings.
  • Provide data analyses and reports for case reviews upon request.

Conoscenze

Data abstraction
Clinical data

Formazione

Bachelor's Degree in basic sciences or related field
Associate's Degree in basic sciences or related field

Descrizione del lavoro

UT Southwestern Medical Center in Dallas is seeking a data abstraction specialist to ensure the accuracy and completeness of clinical data for research and regulatory reporting. You will gather, evaluate and enter data, monitor data quality, and support program reporting timelines.

Preferred experience in oncology data abstraction and integrity management, with a track record of delivering clean datasets for QA meetings and official submissions.

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