AstraZeneca

(Senior)Scientist,AIAlliance/Innovation

$650–1100k ~AI est. Shanghai, China FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“(Senior)Scientist, AI Alliance/Innovation at AstraZeneca. Skills: AI Alliance, Innovation, Machine Learning, Data Science. Identify academic and industry leads. Evaluate data readiness”

What You'll Achieve.

Number of sourced partnerships; Quality of sourced partnerships; Impact of sourced partnerships; Number of executed pilots; Quality of executed pilots; Impact of executed pilots; Time-to-assessment; Clarity of go/no-go decisions; Adoption of successful solutions; Partner satisfaction; Relationship health; External visibility

Industry & Context.

Eligibility Requirements

Shanghai-based, Occasional travel

What They're Looking For.

Must Have

Master's degree or equivalent experience, Hands-on ML/deep learning experience, Proficiency in Python and ML frameworks, Collaborative work in fast-paced teams, Cross-geographical stakeholder management, Clear and effective communication skills, Mandarin proficiency

Nice to Have

Experience running collaborative pilots, Familiarity with IP, licensing, agreements, Familiarity with cloud computing, Familiarity with data engineering, Familiarity with interoperability standards, Knows how to set up local agents/models, Publication record in AI/computational biology, Contributions to consortia or standards, Understanding of biologics drug discovery workflows, Knowledge of protein modeling, Knowledge of structure prediction, Knowledge of de novo design, Knowledge of agentic AI approaches

What You'll Do.

Identify academic and industry leads

Evaluate data readiness

Evaluate integration feasibility

Evaluate regulatory posture

Develop recommendations

Develop business cases

Define success metrics

Ensure robust benchmarking

Coordinate data access

Coordinate data curation

Align on interoperable formats

Integrate external models

Integrate external outputs

Drive adoption of pilots

Define scale-up plans

Define change management

Ensure reproducibility

Bridge computational and experimental domains

Partner with wet lab scientists

Guide experimental design

Guide data generation

Align with bioinformatics

Align with protein engineering

Align with structural biology

Align with data engineering

Align with Procurement

Establish joint roadmaps

Establish operating cadences

Establish relationship health

Safeguard AZ interests

Represent AZ in AI consortia

Contribute to publications

Contribute to patent filings

Contribute to strategic initiatives

Amplify outcomes from pilots

Amplify outcomes from partnerships

Develop local support

Navigate region-specific regulatory considerations

Navigate region-specific data considerations

How You'll Work.

Team & Collaboration

Internal wet-lab scientists; Internal AI/data scientists; Bioinformatics; Protein engineers; Structural biologists; Cross-functional teams; Computational domains; Experimental domains; Data engineering; IT; Legal; Procurement

Communication Scope

Clear communication; Effective communication; Bilingual communication

Process & Methodology

Agile delivery

Full Job Description

**About the Role:** We are seeking creative, and collaborative Scientists/Senior Scientists to join the team with a dedicated focus on AI Alliance & Innovation. This role will accelerate AstraZeneca’s biologics discovery and engineering by scouting, evaluating, and integrating external AI capabilities across academia, startups, and technology vendors—while closely partnering with internal wet-lab scientists, AI/data scientists, bioinformatics, protein engineers, and structural biologists across the UK, US, and China. You will translate scientific needs into partnership opportunities, co-design agile pilots to validate cutting-edge methods and drive successful solutions into practice. This is an opportunity to shape the future of biologics through external innovation, ecosystem engagement, and impactful AI-driven science within AstraZeneca’s research network. **Key Responsibilities** * Opportunity sourcing and due diligence: Proactively identify academic and industry partners; lead technical and scientific assessments, evaluate data readiness, integration feasibility, IP posture, and regulatory considerations; develop clear recommendations and business cases. * Pilot co-design and execution: Co-create and run time-bound pilots with partners and internal teams; define hypotheses, success metrics, datasets, guardrails, and delivery plans; ensure robust benchmarking against internal baselines and state-of-the-art. * Data and model integration: Coordinate data access, curation, and governance; align on interoperable formats and pipelines to integrate external models and outputs with AZ systems and workflows. * Translation to impact: Drive the adoption of successful pilots into discovery and engineering workflows; define scale-up plans, change management, training, and monitoring; ensure reproducibility, documentation, and compliance. * Cross-functional collaboration: Bridge computational and experimental domains—partner with wet lab scientists to guide experimental desig

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