Senior Scientist, Biostatistics, Clinical Safety Statistics (css)

Merck Merck · Pharma · PA

This role provides statistical support for clinical safety evaluation in the pharmaceutical industry. It involves designing, developing, and evaluating processes and tools for product safety assessment, including meta-analysis and Bayesian methods. The role also engages in research for innovative statistical methods in clinical safety.

What you'd actually do

  1. Provide statistical support for the evaluation of clinical safety at the project level.
  2. Interact with Safety Physicians, Safety Scientists, Clinical Trial Physicians, Regulatory, Early/Late Development Statistics, Statistical Programming, and other our company's Research Laboratories Scientists in the planning and execution of ongoing safety evaluation across pre-marketing and post-marketing development stages
  3. Design, develop and evaluate processes and tools for product safety evaluation, including ongoing aggregate safety evaluation
  4. Provide statistical support to cross-functional safety teams including strategic planning and scientific reasoning activities that facilitate safety evaluation.
  5. Plan and execute ongoing aggregate safety evaluations, including cumulative meta-analysis of safety.

Skills

Required

  • Biostatistics
  • Clinical Risk Management
  • Clinical Safety
  • Clinical Trials
  • Product Safety
  • Regulatory Compliance
  • Regulatory Requirements
  • Scientific Modeling
  • Statistical Programming
  • Strategic Planning
  • Visual Analytics
  • statistical analysis methodologies
  • experimental design
  • meta-analysis
  • Bayesian methodologies
  • SAS
  • R
  • communication skills
  • statistical research activities
  • application of novel methods for clinical safety evaluation

Nice to have

  • biology of disease
  • drug discovery and development
  • AI to facilitate writing
  • AI for programming

What the JD emphasized

  • PhD or equivalent degree in statistics/biostatistics or related discipline, or a Master’s degree with a minimum of 3 years relevant experience.
  • Knowledge of statistical analysis methodologies and experimental design, particularly in meta-analysis and Bayesian methodologies.
  • Working knowledge of statistical and data processing software e.g. SAS and/or R.
  • Demonstrate strong interest in statistical research activities and in application of novel methods for clinical safety evaluation.