Penfield Search Partners

Penfield Search Partners

·7 days ago

Associate director biostatistics - -ai/biostat (remote)

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Location

remote, United States

Commitment

Full Time

Level

Director

Required skills

AnalyticsGeneral AnalyticsOSSIaaSStatistical ComputingStat Tools & LanguagesBusiness Intelligence (BI)Data Science PlatformsProgramming Languages

Job Description

Contact: Sabrina Garcia - sgarcia@penfieldsearch.com

Position Overview

We are seeking an Associate Director, Biostatistics & AI to support clinical development through advanced statistical analysis and the implementation of AI/ML solutions within biometrics. This role combines pharmaceutical biostatistics with applied AI technology to improve efficiency, data quality, and regulatory compliance.

Key Responsibilities

  • Lead statistical analysis and reporting for Phase II–IV clinical trials, including adaptive designs, Bayesian methods, and regulatory submissions.
  • Support NDA, BLA, and MAA submissions and responses to regulatory authorities.
  • Design, implement, and validate AI/ML tools that integrate with SAS, R, Python, and clinical data systems.
  • Develop AI-driven solutions for statistical analysis plans (SAPs), TFL automation, data validation, and regulatory documentation.
  • Establish AI governance, validation, and monitoring processes in compliance with GxP and applicable regulatory requirements.
  • Collaborate with Clinical Development, Regulatory Affairs, Medical Affairs, and other cross-functional teams.
  • Oversee CRO statisticians and programmers and contribute to SOPs and best practices.

Qualifications

  • PhD or Master’s degree in Biostatistics, Statistics, Computer Science, AI, Data Science, or related field.
  • Experience in one of the following areas: Biostatistics: 5+ years (PhD) or 7+ years (Master’s) in pharmaceutical biostatistics, with strong SAS/R skills, Python familiarity, and exposure to AI/ML tools.
  • AI/ML Engineering: 3+ years developing and deploying AI/ML solutions, including LLMs, RAG pipelines, or MLOps, with strong Python skills and exposure to clinical or life sciences data.
  • Knowledge of clinical trial methodology, regulatory requirements (FDA, EMA, ICH), and applicable data standards.
  • Familiarity with CDISC standards, GxP environments, and regulatory submission processes.
  • Strong communication, problem-solving, and cross-functional collaboration skills.
  • Demonstrated initiative in developing and implementing AI-powered solutions.

Ready to join the team?

Apply now

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