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Associate Director, biostatistician / methodology (San Francisco)

Associate Director, biostatistician / methodology (San Francisco)

The Lotus Group LLCSan Francisco, CA, US
1 day ago
Job type
  • Part-time
Job description

Position : Biostatistics / Data Science Lead (Can be remote)

Overview :

Our client seeking a hands-on Biostatistics / Data Science leader to drive the design and implementation of scalable, compliant, and efficient statistical workflows supporting Gileads drug development programs. This role combines technical excellence in R and data engineering with leadership in cross-functional collaboration, reproducibility, and innovation within regulated environments.

Key Responsibilities :

  • Lead the development of R-based statistical tools , pipelines, and reproducible workflows to support clinical trial analysis and reporting.
  • Collaborate with statisticians to translate complex methodologies into robust, validated R code for simulations, adaptive designs, and advanced analyses.
  • Oversee R package development , GitHub workflows, and CI / CD pipelines, ensuring code integrity, documentation, and compliance.
  • Define solution architectures integrating open-source tools and cloud-based infrastructures for large-scale, compliant data management.
  • Partner with IT, data engineering, and business teams to streamline processes, enhance automation, and maintain data governance standards.
  • Guide standardization and best practices for code development, validation, and regulatory readiness.
  • Provide technical leadership and mentorship, managing timelines, deliverables, and quality expectations.

Qualifications :

  • PhD in Statistics, Biostatistics, Computer Science, or related field with 5 + years of experience (MS with 10+, BS with 12+).
  • Deep expertise in R programming , R package development, and statistical implementation in clinical trials.
  • Proven experience with GitHub version control , CI / CD, and collaborative coding workflows.
  • Strong background in data engineering, automation, and reproducibility in a regulated (pharma / life sciences) environment.
  • Familiarity with Pharmaverse packages and open-source software development practices.
  • Excellent problem-solving, project management, and communication skills.
  • Preferred :

  • Experience with AWS / cloud data pipelines , distributed computing, and additional programming languages (Python, SQL).
  • Demonstrated ability to bridge between statisticians, data scientists, and engineers.
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    Associate Francisco • San Francisco, CA, US

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