Oncology Biometrics Team Leader — AI Strategy & Implementation

AstraZenecaGaithersburg, MD
$221,036 - $331,554

About The Position

The Biometrics Team Leader – AI Strategy & Implementation (Oncology) will oversee a team supporting Oncology Biometrics AI Strategy & Implementation driving forward AI initiatives and automation across the Biometrics fields (Statistics, Programming and Information Practice) to accelerate delivery of analysis & reporting, decision-making and optimize data insights for patient outcomes.

Requirements

  • MSc or PhD in Statistics, Mathematics, Computer Science, Data Science, or a related field, ideally with oncology exposure.
  • 10+ years of extensive experience in biometrics teams in Oncology clinical development
  • Knowledge of statistical programming (SAS, R, Python), clinical data standards, process work flows and advanced analytics platforms, plus experience with AI/ML frameworks- ideally agentic AI frameworks
  • Proven ability to lead, inspire, and develop high-performing teams in a matrixed, global environment.
  • Demonstrated expertise in developing and accomplishing Oncology-focused data, analytics, or AI strategies.
  • Strong skills in translating complex analytical and AI concepts for Oncology customers, including clinicians, translational scientists, and regulatory bodies.
  • Robust understanding of Oncology-specific clinical trial regulations, data privacy, and ethical AI considerations.

Nice To Haves

  • Change Leadership
  • Strong influencing skills
  • Motivated by the potential of AI and its impact for the future of drug development

Responsibilities

  • Lead a team of specialists who understand the field/domain knowledge of Statistics/Programming/Information Practice and can deliver AI solutions.
  • Define, implement, and continuously refine the AI vision for Biometrics in Oncology—leveraging AI to accelerate delivery of A&R, decision making and data insights.
  • Ensure the delivery of AI projects maintaining adherence to regulatory standards and scientific rigor.
  • Serve as Primary Point of Contact for OBM with R&D IT, Oncology Data Science and AI, and other cross functional AI initiative teams. Partner to deliver coordinated AI approaches addressing Oncology-specific challenges.
  • Enforce ethical AI practices, data governance, and compliance with Oncology clinical data standards, relevant data privacy regulations, and AstraZeneca policies.
  • Foster a culture of innovation and continuous learning—upskilling team members in Oncology AI concepts, data science methodologies, and specialized analytical tools (e.g., genomics/omics platforms, imaging analytics).
  • Input to the OBM Strategic Workforce Planning in terms of AI skill needs for the future workforce. Engage in the training plans for the department working across with Learning & Development Biometrics Lead.
  • Manage allocation of team and technical resources across Oncology programs to ensure optimal project delivery and strategic investment in AI. Develop arguments and measures for benefits and efficiencies from AI use cases.

Benefits

  • qualified retirement program [401(k) plan]
  • paid vacation and holidays
  • paid leaves
  • health benefits including medical, prescription drug, dental, and vision coverage
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