Biostatistician II-Part Time-OB/GYN

Mount Sinai Health System•New York, NY

About The Position

The Biostatistician II provides statistical support for clinical projects, including study design, sample-size determination, and protocol development. The role prepares statistical analysis plans, produces statistical summary tables, integrates databases for broader analyses, and performs statistical programming for complex analyses. It also provides consultation to clinical research project teams and contributes statistical text and methods for reports, publications, abstracts, manuscripts, and grants.

Requirements

  • Master’s degree in biostatistics or a related field.
  • Three years of biostatistics or related experience in clinical research.

Nice To Haves

  • PhD degree preferred.

Responsibilities

  • Prepare statistical analysis plans and project-management timelines; perform and interpret basic and complex analyses.
  • Use statistical knowledge and medical understanding to propose and conduct additional analyses when appropriate.
  • Document analyses, prepare summaries, and present written and verbal results to requestors.
  • Write statistical text for study reports and clinical publications.
  • Prepare analysis plans and methods for abstracts, manuscripts, and grants.
  • Identify potential data problems through analytic queries and guide their resolution.
  • Collaborate with principal investigators, sponsors, and external representatives to ensure accurate, unbiased presentation of results and conclusions and to meet project objectives and timelines.
  • Quality-review statistical analysis plans for consistency with protocols and adequacy in meeting protocol objectives.
  • Follow functional-department standard operating procedures for documentation and validation of clinical research statistics.
  • Consult with clinical research project teams on project-related statistical issues.
  • Perform statistical programming to implement complex statistical analysis plans.
  • Manipulate databases to obtain and analyze required variables.
  • Mentor and train less-experienced staff.
  • Perform other related duties.
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