Lead Biostatistician - The School of Nursing

Emory University•Atlanta, GA
•Onsite

About The Position

The Emory University School of Nursing seeks a skilled, collaborative biostatistician to consult and collaborate with students, faculty, and staff on research studies and support the School’s educational mission. The role combines data management, analytics, and research operations, ensuring high-quality statistical analysis and reporting throughout the research lifecycle. The Lead Biostatistician independently consults on short- and long-term clinical research studies and may serve as key personnel, including as a Co-Investigator on an NIH grant. The position contributes to study design, grant preparation, protocol development, implementation, data quality, analysis, and research dissemination. It also provides statistical and database-management input for proposals and standard operating procedures, supports good clinical practice, and contributes to manuscripts. Administrative and educational work includes training and supervising staff and research assistants, mentoring colleagues, and teaching clinical personnel and other collaborators. Position tasks are generally performed in person at an Emory University location. Remote work-from-home days may be granted at the department’s discretion, and Emory reserves the right to change remote-work status with notice.

Requirements

  • Master’s degree in statistics, biostatistics, computer science, or a related field and 8 years of experience as a biostatistician, preferably in an academic setting; or an equivalent combination of education, training, and/or experience.
  • Proficiency in modern high-level statistical programming languages such as R, SAS, or Python.
  • Excellent organizational skills.
  • Excellent oral and written communication skills.

Nice To Haves

  • Experience in statistical consulting, preferably in an academic setting.
  • Proficiency in R and SPSS; some experience with STATA and SAS is preferred.
  • Experience developing statistical analysis plans and conducting sample-size calculations.
  • Experience with regression, clustered, and longitudinal data analysis.
  • Experience analyzing data generated by validated instruments or complex survey sampling.
  • Experience writing methods and results sections of manuscripts.
  • Experience preparing tables, figures, and associated graphics for manuscripts, abstracts, and posters.
  • Experience with cluster computing.
  • Database-management experience.

Responsibilities

  • Consult and collaborate on short- and long-term clinical research studies, serving as a lead statistician and, when applicable, key personnel on sponsored research.
  • Assist clinical investigators with study design, grant proposals, data management, statistical analyses, and manuscript preparation.
  • Contribute to grant preparation, including study design and approach, statistical and database-management sections, protocol development, and study implementation after funding.
  • Participate in study design and sample-size considerations; design and review Case Report Forms; develop and review randomization plans; and write statistical analysis plans.
  • Analyze data using statistical software, including SAS and R.
  • Contribute to clinical manuscripts by preparing initial drafts of Results sections, writing statistical methods sections, addressing reviewer questions about analyses, and preparing tables, figures, and graphics.
  • Monitor data collection, establish procedures to assure data quality, and help ensure study protocols are followed appropriately.
  • Provide input on the development and review of standard operating procedures and help ensure good clinical practice guidelines are followed.
  • Participate in protocol team conference calls and meetings.
  • Recruit, train, supervise, evaluate, and retain master’s-level staff and statisticians.
  • Train and mentor junior staff statisticians and supervise graduate research assistants.
  • Mentor or teach one-on-one and provide ad hoc training and targeted lectures.
  • Train clinical personnel on data-collection issues in clinical studies.
  • Draft the Manual of Procedures for prospective clinical studies.
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