Gilead Sciences

Associate Director, Biostatistics

Gilead Sciences

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $177,905 - $230,230 per year

Job Level

Lead

Tech Stack

AWSCloudETLJavaScriptPythonSQL

About the role

  • Design, develop, and implement statistical workflows and solutions supporting drug development with scalable, reproducible R-based tools
  • Oversee version control and collaborative coding on GitHub, ensuring quality and CI/CD integration
  • Partner with stakeholders to align data infrastructures and maintain governance and compliance
  • Lead complex R package initiatives, ensuring timely delivery, testing, and documentation
  • Define data workflow architectures integrating R packages into enterprise pipelines and cloud components
  • Champion open-source best practices within regulated pharmaceutical context

Requirements

  • Bachelor's degree and 10 years’ experience OR Master’s Degree and 8 years’ experience OR PhD and 2 years’ experience
  • PhD in Statistics, Biostatistics, Computer Science, Information Systems, or related field with 8+ years of relevant experience; or MS in a related discipline with 10+ years of experience; or BS in a related discipline with 12+ years of experience
  • Experience consulting with statisticians on complex methodological issues and translating statistical theory into practical, validated software solutions
  • Proven ability to implement statistical methods (e.g., adaptive designs, Bayesian methods, survival models, multiplicity adjustments) in clinical trial workflows using R
  • Extensive experience with R programming and developing complex R packages, including testing, documentation, and dependency management
  • Demonstrated experience using GitHub for version control, issue tracking, code reviews, and CI/CD to ensure high-quality, maintainable codebases
  • Strong background in data engineering practices, pipeline development, data cleaning, data validation, and efficient ETL processes
  • Experience with Pharmaverse packages and familiarity with open-source development workflows for clinical trials
  • Nice to have: Proficiency in Python, SQL, HTML, JavaScript; distributed computing frameworks
  • Nice to have: Experience building and managing AWS-based data pipelines for R
  • Ability to travel as needed
  • Expert knowledge in statistics/data science and software development principles for R package development in a pharmaceutical context