Biostatistician II-Part Time-OB/GYN

Mount Sinai Health System•New York, NY

11d

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, generates statistical summary tables, and integrates databases to support comprehensive analyses. It also performs and interprets analyses, documents and presents results, contributes statistical text to research reports and publications, and consults with clinical research teams on statistical matters. The position is part-time and focused on OB/GYN.

Requirements

Master’s degree in biostatistics or a related field.
At least 3 years of biostatistics or related experience in clinical research.

Nice To Haves

PhD degree.

Responsibilities

Prepare statistical analysis plans and timelines for statistical project management, and perform and interpret basic and complex analyses.
Use statistical knowledge and medical understanding to propose and perform additional analyses when appropriate.
Document analyses, create summaries, and present written and verbal results to requestors.
Write statistical text for study reports and clinical publications, and prepare analysis plans and methods for abstracts, manuscripts, and grants.
Identify potential data problems through analytic queries and take appropriate action to guide their resolution.
Collaborate with principal investigators, sponsors, and external representatives to present project results and conclusions accurately and without bias, and to achieve objectives and timelines.
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 and manipulate databases to obtain and analyze required variables.
Mentor and train less experienced staff.
Perform other related duties.