Sr. Scientist / APS, Data Compliance & Governance Management

Introduction to role Are you ready to turn complex cross-border data rules into practical pathways that unlock AI-driven drug discovery? Do you thrive at the intersection of scientific data, regulatory interpretation, and operational execution where your decisions enable researchers to move faster with confidence? About the Beijing AI Center The Beijing AI Center is a new strategic investment by AstraZeneca to accelerate drug discovery through AI. The center brings together AI researchers, computational scientists, and platform engineers to apply foundation models, agentic AI, and large-scale scientific computing to real R&D problems. Situated in one of the world’s most dynamic AI talent markets, it operates at the intersection of biologics discovery, computational chemistry, and AI-driven drug discovery. The center is structured around three pillars: Discovery verticals (therapeutic design and preclinical predictions), Data & AI Platforms, and Ecosystem Partnerships with leading Chinese academic institutions and AI companies. Accountabilities: This role is the transfer-readiness owner for enabling cross-border scientific data access into China for the Beijing AI Center. It addresses the operational gap that exists before formal approval: the preparation work needed to ensure incoming data requests are assessed against sending-jurisdiction restrictions, appropriately scoped, decision-ready, and auditable. The primary data flow is global AstraZeneca R&D into China. The Beijing AI Center needs access to molecular libraries, assay data, omics reference sets, compound data, clinical datasets, and other scientific assets from AstraZeneca's global portfolio to power AI-driven drug discovery. The regulatory challenge sits largely on the sending side — determining what can be transferred or accessed given restrictions ( e.g., D OJ EO 1 411 7 ) on bulk sensitive personal data, export control considerations, and AstraZeneca's internal data governance policies — as well as ensuring appropriate classification and protection once data arrives in China. This is not a final approver role. Rather, it is a dedicated role focused on first-pass triage, provenance tracing, metadata review, annotation coordination, evidence package preparation, and process tracking. The role is intended to reduce the fragmented burden currently carried in an ad hoc way by scientists, business teams, and SMEs, especially for China-related or otherwise non-standard requests. The immediate priority is China data transfer, but the role should be designed for broader global cross-border sharing. The role will help stabilize the current interim process while building a more scalable and consistent operating model that can inform a future integrated solution. This role sits at the intersection of scientific data, compliance preparation, and operational execution. It requires enough breadth across R&D data domains and cross border transfer regulations to work effectively across biologics, small molecules, and safety-related contexts, while also knowing when to pull in domain SMEs, the R&D Data Office, Privacy, Compliance, and designated approvers. What You Will Do Transfer Readiness & First-Pass Triage Design and own the intake process for cross-border data sharing requests — including request workflow, queue management, prioritization criteria, and routing logic Own first-pass intake triage for cross-border data sharing requests, with mandatory review for China-related or non-standard requests and simplified routing for straightforward requests Check request completeness including business justification, recipient, intended use, data source, format, and baseline supporting information Provide first-pass triage recommendation on whether a request is likely in scope, out of scope, or ambiguous, while preparing the supporting rationale for formal review Escalate ambiguous or higher-risk cases to the R&D Data Office, SMEs, and designated approvers with clear questions and structured evidence Manage DOJ compliance assessment for CRO ordering — evaluating data shared with China-based CROs against EO 14117 thresholds and transaction type classifications Provenance Tracing, Annotation & Metadata Coordination Lead provenance tracing for legacy or incompletely documented datasets by reviewing records, systems, and source history across relevant platforms Coordinate metadata collection and completion needed to support transfer assessment and downstream usability Support annotation and evidence preparation so datasets are sufficiently described, contextualized, and auditable before review Partner with bioinformatics and scientific SMEs to resolve data history, source, ownership context, and metadata gaps Differentiate between new / well-annotated data and legacy / incomplete data, applying a lighter path for the former and a deeper tracing effort for the latter Data Curation & China-Readiness Curate and annotate scientific data assets (e.g., structure data in GDB) to ensure datasets are complete, well-structured, and usable for Beijing AI Center workstreams Perform structure data curation supporting both Biologics Engineer