About The Position

Perform advanced-level statistical analysis at all phases of a research project, from protocol development and study design through data analysis and writing up and reporting results. This role involves evaluating research studies, recommending statistical procedures, and preparing statistical plans independently. The position requires describing statistical methods and results to various audiences, programming and creating datasets using SAS, R, SQL, or Python, and serving on institutional committees. Additionally, the role includes leading and supervising a team of biostatisticians and data scientists, managing projects, and mentoring junior staff. The individual will provide expertise and guidance to investigators throughout the research process, from protocol development to publication of results. The role also requires learning new statistical methods independently as needed, performing other duties as assigned, complying with all policies and standards, and abiding by all requirements to safely and securely maintain Protected Health Information (PHI) for patients.

Requirements

  • Master's Degree in a research or related field involving statistical analyses (Required) or Doctorate Degree (Required)
  • 5+ years experience in research and statistical analysis (Required)
  • Record of successful publication history (Required)
  • Ability to prioritize the work of multiple projects.
  • Knowledge of GCP and FDA guidelines.
  • Demonstrate ability to multi-task independently and manage time effectively.
  • Ability to understand and communicate statistical analyses and results to others.
  • Computer and programming skills: Word, Excel, and a statistical programming language such as SAS, R, Python or SQL.
  • Certification in Human Subjects Protection (CITI) (Required Upon Hire)

Nice To Haves

  • Experience in a team setting. (Preferred proficiency)

Responsibilities

  • Perform advanced-level statistical analysis at all phases of a research project, from protocol development and study design through data analysis and writing up and reporting results.
  • Evaluate research studies, recommend statistical procedures, and prepare statistical plans independently, including, but not limited to, hypothesis tests, regression models, meta-analysis and survival analysis to analyze the data.
  • Prepare comprehensive statistical reports to communicate findings with investigators.
  • Prepare statistical components of presentations, abstracts, study protocols, and manuscripts.
  • Describe statistical methods and results to fellow biostatisticians/methodologists as well as to broader audiences with less statistical expertise such as research faculty and staff.
  • Program and create datasets using SAS, R, SQL or Python; combine multiple raw data sets, execute data cleaning and quality control procedures, and derive analytic variables as a data scientist.
  • Perform complex programming using advanced options in SAS procedures and macros, or R/SQL/Python features.
  • Serve on institutional committees such as the DSMB (Data Safety Monitoring Board), and create and present biostatistics education sessions.
  • Lead and supervise team of biostatisticians and data scientists and manage assigned projects.
  • Mentor and train junior staff, including delegating assignments and providing project guidance as needed.
  • Provide expertise and guidance to investigators at all phases of the research process, from protocol development to study design, dataset analysis, interpretation and publication of results.
  • Learn new statistical methods independently as needed.
  • Performs other duties as assigned.
  • Complies with all policies and standards.
  • Must abide by all requirements to safely and securely maintain Protected Health Information (PHI) for our patients.
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