Gilead is looking to design, develop, and implement statistical workflows and solutions to support drug development and other key business use cases, emphasizing efficient, scalable, and compliant statistical frameworks, data pipelines, automated processes, and reproducible R-based tools.
Requirements
- 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.
- Expert knowledge in statistics/data science and software development principles for R package development in a pharmaceutical context.
Responsibilities
- Design, develop, and implement statistical workflows and solutions that support drug development, and other key business use cases across Gilead.
- Oversee version control and collaborative coding workflows on GitHub, ensuring rigorous software engineering standards, robust code quality, and seamless integration into existing enterprise data infrastructures.
- Collaborate with statisticians on complex methodological issues, ensuring appropriate statistical approaches are selected, adapted, and implemented for clinical trial settings.
- Translate advanced statistical concepts into robust, reproducible R code that can be applied to study data, including simulation studies, innovative trial designs, and novel estimation techniques.
- Serve as a statistics/data science leader, shaping department-level standards, tools, and methodologies for data-intensive projects.
- Collaborate closely with study teams, engineers, product managers, and other stakeholders to identify and implement efficient data workflows that accelerate R&D and other business operations.
- Effectively manage code repositories, workflows, pull requests, and CI/CD pipelines to maintain code integrity and streamline development processes.
Other
- Ability to travel as needed.
- Demonstrated leadership, including influence without authority, conflict resolution, and effective team coaching.
- Strong organizational and project management abilities, with a proven record of delivering high-quality results on schedule and within scope.
- Excellent communication skills, with the ability to present complex technical concepts to varied audiences, including executive stakeholders and regulatory personnel.
- Adaptable and flexible, able to manage multiple priorities and pivot as needed within a dynamic, compliance-driven setting.
