AstraZeneca
Senior Director, Machine Learning & AI (BPD)
US - Gaithersburg - MD · Director
Sponsorship not specifiedDetected 7 hours ago
PythonAWSAzureCloud PlatformsRESTMachine LearningDeep LearningData EngineeringData ScienceRAGAgentic AIMLOpsStatisticsRoboticsBioinformaticsLeadershipCommunicationGxP
About the role
- Biologics are central to that ambition, and Biopharmaceutical Development (BPD) is the R&D function that turns biologic candidates into medicines.
- The role is responsible for establishing a framework that rapidly tests and demonstrates value through proof-of-concepts (PoCs), accelerates adoption through iterative delivery, and enables the scaling of successful AI solutions across BPD.
- Success in this role requires a balance of strategic leadership and technical credibility.
Responsibilities
- BPD develops the cell lines, bioprocesses, formulations, devices and analytical methods needed to advance biologic medicines through clinical development and approval where they can improve the lives of patients.
Nice to have
- PhD plus 7 yr of relevant experience.
- MSc plus 10 ye of experience.
- Deep, current, hands-on knowledge across the following:
- Strong software engineering discipline
- fluent in Python and modern ML tooling
- comfortable working in cloud environments such as Azure or AWS, including containerised workloads and distributed compute.
- Experience turning ambiguous scientific or business problems into shaped AI solutions, including knowing when AI is not the right answer.
- Ability to influence senior stakeholders across scientific, technical and business functions, and to make clear recommendations under uncertainty.
Skills
- AI Foundations & Platforms, Knowledge Management, Modelling & Digital Twins, and Submission & Report Authoring.
Company info
- Role purpose AstraZeneca's bold ambition is to be a pioneer in science, lead in our disease areas and transform patient outcomes - and by 2030, to deliver 20 new medicines and industry‑leading growth.
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This listing is sourced directly from AstraZeneca's careers page and normalized into a canonical job model.