Ofertas de empleo en AstraZeneca

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada5 dic.

Office

Data Access & Transfer Lead

Introduction to role

Are you ready to lead the charge in designing and improving AstraZeneca´s data access and transfer standards? As the Data Access & Transfer Lead, you´ll be at the forefront of ensuring our data governance aligns with regulatory, compliance, and cybersecurity requirements. This pivotal role involves translating these requirements into actionable controls, enabling secure and effective data movement across AstraZeneca. Working with the Information Protection Lead, you´ll play a crucial role in our multi-year information protection project. Are you up for the challenge?

Accountabilities

- Strategy and Stewardship: Define and evolve global data access and transfer standards, aligning them with AstraZeneca´s values and business priorities.
- Standards and Control Lifecycle: Own the standards and control requirements for data access and transfer, ensuring traceability from regulatory obligations to enterprise evidence.
- Program of Change Engagement: Partner with major regulatory, compliance, security, and technology transformation programs to assess impacts and prioritize risk mitigations.
- Multi-functional Leadership: Provide mentorship to various teams to enable informed decisions and readiness for change.
- Operating Model and Capability Build: Be a key partner in designing processes, tooling, and reporting for control design and assurance.
- Implementation and Assurance: Oversee operationalization of data access and transfer controls, contributing to internal audit scoping and control efficiency metrics.
- Horizon Scanning and Risk Monitoring: Maintain awareness of evolving regulatory requirements and emerging data risks.
- Policy and Standards Adoption: Partner with collaborators to embed standards within processes and platforms.
- Education and Culture: Collaborate to develop role-based guidance, playbooks, and training to build data literacy.

Essential Skills/Experience

- Standards and Controls Expertise: Proven experience crafting, implementing, and managing data access and data transfer standards and controls in large, global organizations.
- Regulatory and Change Enablement: Strong track record supporting major programs driven by regulatory, compliance, or cybersecurity requirements, including translation of obligations into practical controls.
- Multi-functional Collaboration: Excellent customer engagement across diverse technical and non-technical groups; ability to influence decisions and drive consensus.
- Information Protection and Risk: In-depth knowledge of data risk management, information protection principles, and relevant regulatory frameworks impacting access and transfer.
- Communication: Clear, audience-appropriate written and verbal communication; ability to produce pragmatic guidance and executive materials.

Desirable Skills/Experience

- Adaptability and Analytical Acumen: Skilled at assessing risks, prioritizing mitigations, and recommending improvements that balance compliance, security, and business outcomes.
- Leadership and Operating Model Experience: Experience enabling federated implementations and continuous improvement of controls; familiarity with assurance practices and evidence requirements.
- Professional Certifications: Certifications in privacy/security/risk or data management (e.g., CISSP, CISA, CRISC, CIPP/E, CIPM, CIPT) are advantageous.
- Education and Qualifications: Bachelor´s degree or equivalent experience in Information Security, Data/Information Management, Computer Science, or related field. Relevant professional certifications in privacy, security, or risk are advantageous.

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions.

That´s why we work, on average, a minimum of three days per week from the office. But that doesn´t mean we´re not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

At AstraZeneca, your work directly impacts patients by transforming our ability to develop life-changing medicines. We empower our business through modern science combined with leading digital technology platforms.

Join us at a crucial stage of our journey as we become a digital and data-led enterprise. With opportunities to innovate, take ownership, and explore new solutions in a dynamic environment, you´ll be part of a team that drives cross-company change to redefine the industry.

Ready to make a difference? Apply now to join our team!

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada5 dic.

Python Cloud Coumputing AWS Machine Learning Office

Role Barcelona onsite - 3 days at office / 2 days at home

It currently takes over 10 years and $1.3B to develop a drug. More than 70% of that investment goes into clinical trials, yet only ~10% of candidates make it from Phase I to approval.

Evinova is here to change the math. We use advanced algorithms and GenAI to aim high: boosting clinical trial success by 20%, cutting development time by 3 years, and halving study costs.

We are looking for a highly skilled Principal AI Engineer who combines strong coding expertise with curiosity and business acumen. In this role, you will not only build advanced algorithms and agentic AI but also ensure your technical work directly supports company targets, working on both internal initiatives and client/ consulting-style engagements. You will bring a value-driven mindset, using critical analysis to ensure outcomes align with business goals.

WHAT THE ROLE INVOLVES

- AI DEVELOPMENT & ARCHITECTURE - You will build sophisticated GenAI, Machine Learning and Optimization solutions tailored to the life sciences, taking them from initial PoC through to full industrialization.

- ENGINEERING & DEPLOYMENT - Deliver high-quality and production-ready code, supporting deployment on the cloud (AWS). You will support the development of robust data pipelines, focusing on flexibility to ensure smooth integration with various client data ecosystems.

- BUSINESS ENGAGEMENT - You will present the progress of AI initiatives, gather feedback, and translate complex technical outcomes into clear business value for senior leadership and stakeholders.

- CROSS-FUNCTIONAL INNOVATION - Thrive in a dynamic ecosystem where AI, Product, Strategy, and UX intersect. You will act as a key translator, connecting cutting-edge AI capabilities with real-world Pharmaceutical requirements to deliver meaningful digital transformation.

SKILLS AND CAPABILITIES NEEDED

- EXPERIENCE - 5+ years designing novel algorithms and applied AI/ML solutions that drove measurable business impact.

- GENERATIVE AI EXPERTISE - Experience building GenAI solutions for real-world use cases, with a solid grasp of agentic AI frameworks (LangChain, Google GenAI SDK, LlamaIndex, etc.).

- MODERN TECH STACK - Expert knowledge of Python and standard data frameworks (pandas, scipy, etc.). Expertise in leveraging GenAI coding assistants (GitHub Copilot, Cursor, etc.) to accelerate development cycles.

- ENGINEERING RIGOR - A proven track record of shipping production-level code using software engineering best practices.

- COMMUNICATION - Excellent verbal and written communication skills, with experience presenting technical concepts to non-technical stakeholders with clarity.

Desirable Skills/Experience

- INFRASTRUCTURE - Familiarity with AWS services, AWS CDK, Containerization, and CI/CD pipelines.

- CONSULTING - Experience interacting with high-level business stakeholders or working in a consultancy environment.

- PHARMA INDUSTRY KNOWLEDGE: Previous experience in Life Sciences is desirable, but not mandatory.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada3 dic.

AWS Kafka

ABOUT THE OPERATIONS IT TEAM

Join our global Operations IT team, supporting diverse areas such as Pharmaceutical Technology Development, Manufacturing & Global Engineering, and more. We combine cutting-edge science with leading digital technology platforms and data, impacting lives through advancements in data, analytics, and AI. Embrace a dynamic environment with endless opportunities for learning and growth.

ROLE OVERVIEW

We´re seeking a technical, forward-thinking Data & AI Platform Engineer to drive the evolution of our enterprise data ecosystem. You´ll be an expert in driving transformation across Data Platforms, applying an ML/Data-Ops mindset with a forte in ETL, Warehousing, Observability and Data Quality.

This role goes beyond platform stewardship - it´s about embedding AI and GenAI into the fabric of our operations, enabling intelligent automation, cost optimization, and trusted data delivery. You´ll lead the charge in transforming how data is provisioned, governed, and consumed across AstraZeneca, ensuring platforms are scalable, compliant, and future-ready.

RESPONSIBILITIES

Platform Enablement & Improvement

- Lead the design and execution of a comprehensive improvement plan covering:

- New platform provisioning and onboarding

- Usage analytics and cost transparency

- Standards, governance, and regulatory compliance

- User enablement through guides, documentation, and training

- Change management and communications

- FinOps and cost optimization strategies

- Automation and process reengineering

- Industrialization of data products and pipelines

- Adoption tracking and continuous feedback loops

Delivery Leadership & Quality Assurance

- Oversee end-to-end delivery of platform initiatives, ensuring alignment with business goals, timelines, and KPIs.

- Embed robust quality assurance practices to uphold data integrity, security, and operational resilience.

Platform Strategy & Road Mapping

- Partner with Data, Analytics & AI domain leads and BAU teams to synthesize project demand, pain points, and strategic priorities into a quarterly roadmap.

- Champion platform maturity through iterative planning, stakeholder engagement, and outcome-driven delivery.

Qualifications & Experience

- Exceptional communication skills and high fluency in English, with the ability to influence across technical and non-technical audiences.

- ETL experience is essential, moving Data at Scale with Streaming experience is advantageous.

- Applies a DataOps and MLOps mindset in operationalising Data into Data Products.

- Deep expertise in Snowflake and Fivetran, plus hands-on experience with at least two of the following: DataOps.live, Confluent (Kafka), SnapLogic, Cognite, Aera, Apache Iceberg, Neo4j.

- Proven success in delivering platform enhancements and cost savings within Snowflake and adjacent technologies.

- Experience with Gen-AI, Agentic solutions and MCP highly advantageous.

- Exposure working with Data Models and DBT desirable.

- Proactive and self-motivated.

- Skilled in stakeholder management, team leadership, and driving cross-functional collaboration.

- Experience in AWS is highly desirable.

WHY JOIN US

Be part of an impactful journey to transform AstraZeneca into a digital and data-led enterprise. With significant backing for success, we are committed to diversity, inclusion, and lifelong learning. Unleash your entrepreneurial spirit and make meaningful contributions to medicine and patient care.