Senior Applied Research Scientist - Cancer Epidemiology

Moffitt Cancer Center

Tampa (FL)

Presencial

USD 92.000 - 147.000

Jornada completa

14 días+

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Descripción de la vacante

Moffitt Cancer Center in Tampa, FL, invites an Applied Research Scientist II to join the Coghill Lab within Cancer Epidemiology. The role focuses on leading analyses, co-authoring manuscripts, and guiding R01-funded projects in a collaborative setting.

Ideal candidates bring advanced R skills, REDCap experience, and a track record leading statistical analyses in multidisciplinary teams, contributing to translational cancer research and epidemiology projects.

Formación

  • PhD or doctoral degree in epidemiology, biostatistics, data science, public health, behavioral or natural sciences, or a closely related discipline with at least 2 years as an Applied Research Scientist or equivalent is required.

Responsabilidades

  • Lead research informatics and database-management activities, including integrating REDCap outputs with reproducible R workflows to streamline data quality review, reporting, analysis, and visualization.
  • Independently analyze Moffitt clinical, epidemiologic, and molecular datasets; interpret results; and translate findings into figures, tables, presentations, and peer-reviewed manuscripts.
  • Provide scientific and operational oversight for multiple R01-funded projects, including milestone and performance tracking, progress reporting, independent problem-solving and decision-making, and coordination of team members.

Conocimientos

Applied research in epidemiology
Biostatistics
Data science
R programming

Educación

PhD in epidemiology/biostatistics/data science

Herramientas

REDCap

Descripción del empleo

Moffitt Cancer Center in Tampa, FL, invites an Applied Research Scientist II to join the Coghill Lab within Cancer Epidemiology. The role focuses on leading analyses, co-authoring manuscripts, and guiding R01-funded projects in a collaborative setting.

Ideal candidates bring advanced R skills, REDCap experience, and a track record leading statistical analyses in multidisciplinary teams, contributing to translational cancer research and epidemiology projects.

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