Associate Director, Advanced Medical Analytics

AstraZeneca • Gaithersburg, MD

1d • $147,908 - $221,862

About The Position

Make an enterprise-wide impact on patient lives by driving advanced, data-driven execution and analytics strategy. AstraZeneca’s aspiration is to deliver life-changing medicines to patients in need, in pursuit of eliminating cancer as a leading cause of death! The US Medical Affairs (USMA) organization operates at the critical intersection of R&D, clinical development, and healthcare delivery, equipping healthcare providers and internal teams with actionable insights, evidence, and support amidst a rapidly evolving treatment landscape. As Associate Director, Advanced Medical Analytics, you will serve as a key technical and project leader within the Advanced Analytics and Clinical Trial Efficiency team. In this role, you will contribute to the vision, design, and deployment strategy for advanced analytics, AI/ML, and Real-World Data (RWD) solutions. You will work closely with collaborators across US Medical, R&D, and Global teams. Your goal is to speed up clinical trial execution, improve medical engagement, and support core medical operations using digital and AI innovation.

Requirements

• Bachelor’s degree in a relevant quantitative or life sciences field (e.g., Data Science, Computer Science, Statistics, Biomedical Informatics, Engineering, Mathematics).
• 3+ years of progressive experience delivering advanced analytics and data science solutions within the biopharmaceutical, biotechnology, or life sciences consulting sectors.
• Proven experience guiding or leading technical project squads in developing and deploying AI/ML capabilities into enterprise or field business workflows.
• Demonstrated history of successfully delivering data science solutions across medical, commercial, or clinical development functions.
• Strong technical expertise in machine learning, GenAI, and modern NLP architectures applied to complex structured and unstructured healthcare datasets.
• Technical fluency across cloud ecosystems and modern data stacks (e.g., Python, SQL, Databricks, AWS, SageMaker, Git).
• Strong communication and collaborator management skills, with the ability to bridge technical concepts with business strategy and influence cross-functional partners

Nice To Haves

• Advanced degree in a relevant field (e.g., PhD, MD, or MBA with a quantitative concentration).
• 5+ years of life sciences analytics experience, with 2+ years leading technical project teams or data science workstreams.
• Domain expertise in Oncology and software development lifecycle / agile practices.
• Hands-on experience developing or scaling digital transformation or next-best-action style intelligence platforms for medical science liaisons (MSLs) and HQ functions.

Responsibilities

• Drive and support cross-functional digital innovation initiatives in close collaboration with commercial partners, embedding AI and analytics into business workflows as part of broader leadership efforts to scale AI across USMA.
• Guide dedicated technical analytics and engineering project squads in developing intelligent, scalable AI capabilities that modernize day-to-day operations and decision-making across both Field Medical and HQ teams. Ensure these capabilities are brought to life appropriately in new CRM initiatives.
• Work closely with end users to ensure appropriate prioritization, triage, and follow-through of issues related to deployed solutions. Operate in a light touch SCRUM manner, ensuring high trust with end users.
• Coordinate technical squads through the agile development lifecycle, focusing on scaling existing capabilities across franchises within USMA and ensuring current analytical products are properly supported, enhanced, and maintained.
• Act as a trusted analytics partner to cross-functional leaders across USMA, Global R&D, and Commercial teams, translating complex business challenges into high-impact, fit-for-purpose analytical solutions.
• Manage the operational lifecycle of medical analytics tools and products, overseeing backlog refinement, sprint execution, quality standards, and continuous enhancement for tools in production.

Benefits

• short-term incentive bonus opportunity
• equity-based long-term incentive program
• retirement contribution
• qualified retirement program [401(k) plan]
• paid vacation and holidays
• paid leaves
• health benefits including medical, prescription drug, dental, and vision coverage

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level