Ofertas de empleo en AstraZeneca

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada12 jun.

Java Python Jenkins Cloud Coumputing AWS Terraform Machine Learning Office

AstraZeneca is an innovation-driven global biopharmaceutical company focused on the discovery, development and commercialization of prescription medicines, primarily for the treatment of cardiovascular, renal and metabolic, respiratory and immunological, oncological and rare diseases.

Our Barcelona hub has been created to achieve the next wave of breakthroughs that help us do what´s never been done before, as we expand our global footprint. Harnessing data and using the best technology solutions available allow us to positively impact science.

Join our innovative Data & AI Accelerators platform as a Data Ops Engineer within the R&D data lake team. Our mission is to accelerate scientific innovation in the pharmaceutical industry by enabling seamless, secure, and compliant management of R&D data. We are seeking a dedicated and skilled professional to drive operational efficiency and streamline service-level agreements (SLAs) for our data lake.

Key Responsibilities

Drive Operational Efficiency:

- Optimise processes to enhance the performance and reliability of the data lake.

- Analyse bottlenecks and devise solutions to improve data flow and delivery times.

- Manage and reduce SLAs:

- Collaborate with cross-functional teams to expedite issue resolution.

- Implement strategies to ensure consistent, high-performing service delivery.

Cloud Infrastructure Management:

- Manage cloud-based infrastructure for data ingestion, storage, and security.

- Identify and resolve issues impacting cloud infrastructure performance.

Data Ingestion and Storage:

- Oversee the ingestion of complex research data sets into the data lake.

- Ensure data is securely and efficiently stored and managed.

Data Curation and Quality Assessment:

- Develop and implement data curation processes to maintain data quality.

- Conduct regular assessments to ensure data accuracy, integrity, and compliance.

Secure Data Access:

- Ensure secure access protocols are in place and adhered to for sensitive research data.

- Collaborate with security teams to address any vulnerabilities in data access.

Technical Skills

Candidates are not required to know all these tools to apply, but familiarity with more tools is beneficial as this role will involve using many of them at different times.

AWS:

- Data services: S3, Glue

- Other services: SNS, SQS, Lambda, ECS, ECR

Infrastructure as Code (IaC):

- CloudFormation

- Terraform is a plus

Programming Languages:

- Python

- Java is a plus

Automation and CI/CD:

- Jenkins

- GitHub Actions is a plus

Databases:

- RDBMS of choice (Postgres)

- Snowflake is a plus

ETL Tools:

- Talend

- Airflow and FiveTran are a plus

Qualifications

- Bachelor´s or Master´s degree in Computer Science, Data Science, or a related field.

- Proven experience (2-5 years) in data operations, cloud infrastructure, and data management.

- Familiarity with MLOps and AI engineering practices is a plus.

- Strong problem-solving skills and ability to work in a fast-paced environment.

- Excellent communication and collaboration skills to work with cross-functional teams.

Domain Knowledge

- Experience in biomedical research or healthcare data (internships or projects) is a plus.

- Understanding of data privacy and regulatory compliance in the life sciences is a plus.

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.

AstraZeneca offers an environment where you can connect across the whole business to power each function to better influence patient outcomes and improve their lives. You will play an increasingly crucial role in driving disruptive transformation on our journey to becoming a digital and data-led enterprise. Unleash the power of our latest innovations in data, machine learning, and technology to turn complex information into life-changing insights.

Ready to make a difference? Apply now!

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada10 jun.

React Javascript API Java Python Agile Scrum Cloud Coumputing GraphQL REST AWS Terraform Machine Learning Office

Introduction to role:
Are you ready to disrupt an industry and change lives? The Connected Insights service at AstraZeneca is revolutionizing how competitive intelligence is created, shared, and consumed. By leveraging data pipelines, knowledge graphs, interactive visualizations, and machine learning, we are transforming the experience into a rich, digital, interconnected, and on-demand journey. As a Software Engineering Lead, you will play a pivotal role in driving modern engineering practices and leading a team of dedicated engineers to deliver cutting-edge digital products. Join us in creating an excellent user experience and reliable data solutions that empower our competitive intelligence professionals.

As a Software Engineering Lead, you will oversee the technical delivery of digital products. You will work closely with product leads, scrum masters, and business analysts to develop robust solutions and maintain consistency across our delivery pods. You will also partner with other technical leaders within AstraZeneca to create reusable technical solutions that meet the needs of our Oncology, Biopharmaceuticals, and Alexion users. You will champion agile development practices and help cultivate an exemplary engineering culture. Additionally, you will be involved in hiring, coaching, mentoring, providing feedback, and supporting the career development of software engineers.

Accountabilities:
- Lead teams of software engineers throughout the entire product development lifecycle, from discovery to deployment.
- Drive the technical vision for new products, exploring innovative solutions and technologies that can disrupt the competitive landscape.
- Oversee the design, development, testing, and deployment of software products.
- Collaborate with product managers, designers, engineers, and other stakeholders to ensure alignment of product features with user needs and business goals.
- Select and implement technologies, tools, and methodologies to enhance product development efficiency and quality.
- Participate actively in coding, debugging, and architecting solutions, contributing directly to the software development process.
- Mentor junior engineers, fostering a culture of continuous learning, code quality, and best practices in software development.
- Ensure adherence to standard patterns set by architecture and engineering leadership, guaranteeing consistency and alignment with best practices across IT services.

Essential Skills/Experience:
- Strong leadership skills with a proven track record of managing high-performance engineering teams across geographies.
- Strong experience in one or more of the following areas
- Proficiency in multiple back-end languages (e.g., Java, Python) and JavaScript frameworks, particularly React.
- In-depth knowledge of cloud platforms (AWS preferred) and modern service practices, including service mesh, REST API, GraphQL, and Open Search.
- Experience developing a comprehensive design system in Storybook, collaborating with UX designers to ensure consistent and scalable UI components.
- Strong understanding of API, microservice, and event-driven architectures, with the ability to design, implement, and utilize these effectively.
- Demonstrated capability to implement and standardize consistent testing practices across both front-end and back-end development teams. The candidate must be proficient in using tools like SonarQube and GitHub Copilot, integrating tests within CI/CD pipelines, and utilizing frameworks such as Vitest, Pytest, and Playwright.
- Excellent communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.
- Strong track record of collaborating closely with Product leads to identify optimal solutions to user and technical challenges.
- Demonstrated ability to provide technical leadership, managing globally distributed development teams, offering mentorship, and making informed technical decisions.

Desirable Skills/Experience:
- Experience in collaborating on and contributing to software architecture design, balancing architectural concerns with agile development needs, optimizing system performance, ensuring scalability, and facilitating communication between development and architecture teams.
- Strong experience in leading the use of Infrastructure as Code (IaC) practices with Terraform, ensuring efficient, scalable, and repeatable deployments in cloud environments.
- Competence in driving the adoption of Roadie Backstage to promote self-service capabilities and develop reusable templates, enhancing operational efficiency and accelerating development workflows.
- Awareness of AI, including generative AI, with an understanding of the latest AI trends and the ability to leverage them to identify opportunities within the pharmaceutical industry.

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, we leverage technology to impact patients´ lives directly. Our global organization is driven by purpose-pushing the boundaries of science to discover life-changing medicines. We take pride in our work´s impact on the world by combining cutting-edge science with leading digital technology platforms. Here you can innovate freely while being supported by a diverse team committed to making a difference.

Ready to make an impact? Apply now to join our team at AstraZeneca!

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada10 jun.

API Python Agile Azure Jenkins Cloud Coumputing AWS Machine Learning Office

Introduction to role:

Are you ready to dive into the world of Generative AI and make a real impact? As a Generative AI Engineer, you´ll be part of the Alexion IT RDU organization, working closely with the IT Director of Insights and Analytics. Your mission? To develop and implement cutting-edge Machine Learning solutions, focusing on Generative AI, that tackle our business challenges head-on. You´ll be instrumental in scaling and deploying production-ready AI models, all while collaborating with senior team members to drive innovation.

Accountabilities:
• Assist in developing and refining Generative AI systems and applications using state-of-the-art models to solve complex business problems.
• Aid in the development and maintenance of MLOps infrastructure and tools for Machine Learning and Generative AI models.
• Participate in the full lifecycle development of Generative AI agents, ensuring meaningful interaction with users or environments.
• Support the integration of pre-trained Generative AI models into custom applications for new functionalities.
• Collaborate with senior engineers to design interactive systems using Generative AI for dynamic content or decision support.
• Contribute to building and maintaining infrastructure for running Generative AI applications.
• Implement user interfaces or API endpoints for seamless interaction with Generative AI functionalities.
• Assist with data pipelines and preprocessing steps for feeding Generative AI models with appropriate data.
• Monitor operational health of Generative AI applications in production, identifying areas for improvement or optimization.
• Develop assets, frameworks, and reusable components for Generative AI, Machine Learning, and MLOps practices.
• Engage with stakeholders to gather feedback and iteratively improve Generative AI applications´ features and capabilities.
• Support integration of Generative AI models within the Machine Learning ecosystem, ensuring ethical use and business relevance.
• Assist with monitoring and governance of Generative AI models to align with evolving business and regulatory requirements.

Essential Skills/Experience:
• Bachelor´s degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related field
• 2+ years of experience in Machine Learning, data science, or software development
• Familiarity with ML Engineering concepts and tools, including Docker/containerization, and basic model upkeep
• Exposure to CICD practices and familiarity with tools such as GitHub Actions, Jenkins, or Bitbucket pipelines
• Experience with Python and familiarity with ML libraries such as Tensorflow, Keras, or PyTorch
• Experience with cloud computing platforms, such as AWS, Azure or GCP
• Understanding of software engineering principles and exposure to agile methodologies
• Good communication and collaboration skills, with enthusiasm for working in a cross-functional team environment
• Proactive and eager to learn with strong analytical and problem-solving skills

Desirable Skills/Experience:
• Experience in the pharmaceutical industry or related fields
• Master´s degree in a related field or ongoing education towards an advanced degree
• Strong knowledge of AI techniques and tools, including NLP, optimization, and deep learning

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, you´ll find a culture driven by patient needs where diversity is celebrated and inclusion is championed. Here, your ideas can profoundly impact lives as you work alongside passionate colleagues who are committed to making a difference. With tailored development programs and a supportive community of leaders and peers, you´ll be empowered to grow both personally and professionally while contributing to life-changing advancements.

Ready to make an impact? Apply now to join our team!

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada4 jun.

Python TSQL AWS Office

Introduction to role:

Are you ready to dive into the world of data engineering and make a real impact? As a Junior Data Engineer, you´ll be a vital part of our dynamic Data Team, collaborating closely with Senior Data Engineers and other team members. This role is perfect for someone with foundational skills in data engineering and a passion for creating automated data pipelines and innovative data solutions. Get ready to learn, grow, and contribute to exciting data initiatives!

Accountabilities:

• Assist in the development of Extract, Load, Transform (ELT) processes.
• Support the creation and maintenance of data models and datasets.
• Assist in identifying and implementing improvements to data integrity and quality.
• Perform preliminary assessments of new data sources for quality and suitability.
• Participate in maintaining documentation related to data processes and solutions.
• Engage in data governance practices to ensure data consistency and alignment with best practices.
• Support the team in resolving data-related issues and undertake root cause analysis.

Essential Skills/Experience:

• Bachelor´s Degree or Master´s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.
• Basic understanding of data engineering principles and experience in a related role, including internships.
• Familiarity with programming languages such as Python and SQL.
• Write maintainable code with tests, and applying version control with Github.
• Exposure to some data engineering tools and services, such as AWS, Snowflake, dbt, Fivetran, Acceldata, or Apache Airflow.
• Ability to work collaboratively within a team setting and demonstrate eagerness to learn and adapt.
• Good communication skills to work effectively with both technical and non-technical stakeholders.

Desirable Skills/Experience:

• Experience or familiarity with cloud-based data ecosystems (e.g., AWS, Snowflake).
• Understanding of basic project management principles.
• Prior experience in the Pharmaceutical or Life Sciences industry is a plus.

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, you´ll find an environment where innovation thrives and your career can flourish. Our entrepreneurial spirit combined with the resources of a global pharma company creates a unique atmosphere where you can define your career path while contributing to meaningful work. We are committed to making a difference for patients with rare diseases, fostering a culture of inclusivity, integrity, and collaboration. Here, your growth is aligned with our mission to change lives for the better.

Ready to embark on this exciting journey? Apply now and become part of a team that truly makes a difference!

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada30 may.

React MongoDB CSS TSQL NoSQL HTML Docker Cloud Coumputing Android TypeScript AWS iOS Redux React Native Office

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

Evinova is currently looking for a Mobile Software Engineer to join our Product Engineering team. This role requires someone that codes daily, is self-motivated, and has a passion for development. We´ll rely on you to bring your technical acumen to help the team continue to deliver world class solutions.

In this role, you will be a Mobile Software Engineer in our product - Unified Trial Solution (UTS) has been a successful product at AZ for the past 5 years. This role will be based in Barcelona, ES and you will be a part of our global product engineering team.

Our team is a high performing team in a fast-paced environment, and you will often be working with team members across multiple locations. You will be collaborating with cross functional teams - like design, product, and platform. You will be given requirements that you are expected to understand, plan, develop, and thoroughly test before considering the work completed. Deployments are also handled by our team, and you will be working with team members in deploying your code. You are expected to collaborate with your team members and escalate appropriately to your lead in case of issues. You will also be coordinating with different teams as needed for integrations.

We are looking for individuals with a proven understanding in the mobile and full-stack development space and have a desire to learn new technologies as needed. We are looking for individuals who have knowledge in the core technologies like React-Native, NodeJS, React, HTML, CSS, JS, SQL, and NoSQL, while additional skills are appreciated. It is not vital that you have expertise in all the following, but here are a few skills we are looking for in a person for this role:

- Typescript

- Jest or similar testing tools

- React-Native

- Redux, Babel, npm, yarn

- Android and/or iOS dependency management

- NodeJS

- NestJS or similar frameworks

- Sentry or similar tools

- Postgres or MongoDB for persistency

- Google Firebase

Desirable, but not mandatory:

- Docker

- AWS Cloud

- CDK

- React

- Material UI

- Tanstack Query

- Zustand

- Vite

Education Requirements:

- Bachelor´s degree in computer engineering, Electrical Engineering, Math, Computer Science, Information Science, or equivalent degree is preferred.

Experience Requirements:

- Long history of enjoying problem solving and building things

- 1+years of hands-on mobile software development experience

- A keen interest in new technologies, such as genAI

About Evinova

Evinova is a health-tech business, accelerating the delivery of better health outcomes by propelling the life sciences sector forward in digital health, from the inside. Through our application of science-based expertise, evidence-led rigor, and human experience-driven insight, our digital solutions are deliberately designed so that everyone can reach better health outcomes together. Evinova is a health-tech business within the AstraZeneca Group.

Digital Health is the convergence of healthcare with technology, data, and analytics to transform the healthcare industry and improve human health.

At AstraZeneca, our goal is to improve patient experience and outcomes. We´ve been working hard to make this a reality, and our accumulated years of experience enable us to embed digital health at scale in our business and lead with our digital patient solutions.

AstraZeneca has Digital Health as one of the top strategic priorities for the company.

Why Evinova (AstraZeneca)?

Evinova draws on AstraZeneca´s deep experience developing novel therapeutics, informed by insights from thousands of patients and clinical researchers. Together, we can accelerate the delivery of life-changing medicines, improve the design and delivery of clinical trials for better patient experiences and outcomes, and think more holistically about patient care before, during, and after treatment. We know that regulators, healthcare professionals, and care teams at clinical trial sites do not want a fragmented approach. They do not want a future where every pharmaceutical company provides its own, different digital solutions. They want solutions that work across the sector, simplify their workload, and benefit patients broadly. By bringing our solutions to the wider healthcare community, we can help build more unified