astrazenecaGaithersburg, MD
Senior Director, AI for Clinical Intelligence & Evidence Breast & Gynaecology
Senior Director, AI for Clinical Intelligence & Evidence Breast & Gynaecology
Senior Director, AI for Clinical Intelligence & Evidence Breast & Gynaecology
astrazenecaGaithersburg, MD
today
Other Scientific and Technical Consulting ServicesResearch and Development in BiotechnologyGeneral Medical and Surgical Hospitals
Apply for this role (opens in a new tab)Overview:
In this role you will lead a multidisciplinary team to generate high-quality clinical intelligence and real-world evidence for the Breast & Gynaecology portfolio, guiding study design, analyses, and AI/ML applications. You will partner with drug development to translate portfolio questions into research objectives using real-world data, shaping evidence generation to support development and patient outcomes. The role sits in AI for Clinical Intelligence & Evidence, contributing to scalable enterprise capabilities and impacting decisions across portfolios. Compensation / Benefits 401(k) plan paid vacation and holidays paid leaves medical, prescription drug, dental, and vision coverage short-term incentive bonus opportunity equity-based long-term incentive program
Responsibilities:
Define and evolve the CI&E strategy for Breast & Gynaecology aligned with Oncology portfolio needs Provide scientific leadership in epidemiology and RWE, advising study designs and analytical methods Collaborate with drug development to translate priorities into research objectives Apply RWE to support clinical development questions Shape use of AI/ML within RWE, distinguishing meaningful applications from hype Support advanced methods: predictive modelling, patient subtyping, disease progression, temporal modelling, clinical text insights Lead and develop a multidisciplinary team with clear objectives and inclusive culture Prioritise work by impact on Oncology portfolio and patient outcomes Foster cross-functional leadership with clinical, scientific, data, and AI teams Collaborate across CI&E teams to share capabilities and scale AI approaches Engage external partners to access RWD and expertise for stronger evidence generation Aim for scientifically rigorous and decision-relevant outputs with broad impact Influence operating models to promote collaboration and scalable capabilities across disease areas
Key requirements:
Advanced degree in Statistics, Epidemiology, Public Health, Data Science, Mathematics, or related field 10+ years in life sciences/healthcare with deep epidemiology and RWE experience Strong health analytics experience with RWD and diverse data sources Experience translating clinical questions into research objectives for RWD analyses Background in quantitative science and familiarity with statistical and scripting languages Understanding of Oncology drug development and the role of RWE in trials and external controls Experience with AI/ML methods or solid understanding of their applications to RWD Regulatory submissions or HTA dossier experience leveraging RWE Proven line management experience and talent development Ability to communicate complex outputs to senior stakeholders and influence decisions Strategic prioritisation and adaptability across global, matrixed teams Strategic thinker with strong communication and influencing abilities Collaborative leadership and ability to build inclusive, high-performing teams Cross-functional collaboration across clinical, scientific, data and AI groups Real-World Evidence (RWE) Epidemiology AI/ML methods and their application to RWD
Also on the board Same function, level within a rung
Level
Manager
Location
Gaithersburg, MD
Occupation
Medical and Health Services Managers
Industry
Other Scientific and Technical Consulting Services
Posted
today