Ofertes d'ocupació a AstraZeneca

• Nivell d'experiència---
• Tipus de contractePer dies
• Publicada21 de gen.

API Python Machine Learning

AstraZeneca Global Hub 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.

In line with our firm commitment to training and developing exceptional talent, this person will join our Enterprise AI Platforms & Services team to learn and grow through active collaboration with our team.

Conditions:

Duration: 6-9 months

Hours per day: Full time

Location: Barcelona, Spain

Focus area:

This internship focuses on the research and development of next-generation duplex and asynchronous conversational AI systems. The goal is to explore and prototype a scalable dialogue management framework capable of supporting multi-threaded, real-time interactions. This includes orchestrating background tasks (e.g., external API calls, computations, knowledge retrieval) while maintaining a smooth and natural flow of conversation. The intern will contribute to designing intelligent dialogue agents that handle overlapping user intents, deferred answers, and dynamic context-switching - pushing the limits of industrial-grade conversational systems.

Training through practical experience:

The internship is structured as a deep-learning experience in advanced dialogue technologies and production-scale AI orchestration.

The intern will:
- Support the design of full-duplex conversational loops that enable simultaneous speech input and output.
- Assist in implementing an asynchronous task scheduler that manages and resolves long-running background actions (e.g., vector search, computation, external queries).
- Collaborate in building a dialogue thread manager that maintains multiple open user intents and gracefully resumes them when responses are ready.
- Contribute to real-time testing and evaluation environments simulating multi-turn user sessions with dynamic task handling.
- Work under close supervision to gain experience in integrating ASR, NLU, dialogue management, NLG, and TTS modules into a coherent pipeline.

The tasks will be adapted to the intern´s level and focused on learning, exploration of real-world scenarios, and contribution to prototypes and evaluation. This experience is ideal for students looking to bridge research and engineering in conversational AI.

Requirements
- Background in Natural Language Processing, Speech Technologies, or Machine Learning
- Elegibility for an internship agreement
- Proficiency in Python and familiarity with modern AI development practices
- Understanding of conversational system pipelines, including components like speech recognition, language understanding, and dialogue management
- Interest in multi-tasking dialogue systems, scalable AI orchestration, and human-like conversational flow
- Motivation to engage in both research-driven experimentation and practical system design
- Bonus: experience with large language models (e.g., GPT, Claude, LLaMA), streaming architectures, or open-source dialogue frameworks.

#EarlyTalent

AstraZeneca is a company that promotes equal opportunities. AstraZeneca will consider all eligible persons, without discrimination based on disability, sex or sexual orientation, pregnancy or maternity/paternity period, race or origin (national or ethnic), age, religion or belief, identity of gender, marital or de facto partnership status and/or any other characteristic protected by law.

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada19 de gen.

Python Docker Cloud Coumputing Kubernetes AWS Bash Terraform Office

Are you ready to build high-performance data pipelines that turn complex science into real impact for patients? In this role, you will transform raw bioinformatics and scientific data into trusted, reusable assets that drive discovery and decision-making across our research programs.

You will join a team that fuses data engineering with cutting-edge science, using HPC and AWS to deliver reproducible workflows at scale. From first ingestion to consumption by scientists and AI models, you will set the standard for reliability, speed, and governance across our data foundation.

Do you thrive where learning is continuous and bold ideas are encouraged? You will have the freedom to experiment, the support to grow, and the opportunity to see your work influence breakthroughs as they take shape.

Accountabilities:
- Pipeline Engineering: Design, implement, and operate fit-for-purpose data pipelines for bioinformatics and scientific data, from ingestion to consumption.
- Workflow Orchestration: Build reproducible pipelines using frameworks such as Nextflow (preferred) or Snakemake; integrate with schedulers and HPC/cloud resources.
- Data Platforms: Develop data models, warehousing layers, and metadata/lineage; ensure data quality, reliability, and governance.
- Scalability and Performance: Optimize pipelines for throughput and cost across Unix/Linux HPC and cloud environments (AWS preferred); implement observability and reliability practices.
- Collaboration: Translate scientific and business requirements into technical designs; partner with CPSS stakeholders, R&D IT, and DS&AI to co-create solutions.
- Engineering Excellence: Establish and maintain version control, CI/CD, automated testing, code review, and design patterns to ensure maintainability and compliance.
- Enablement: Produce documentation and reusable components; mentor peers and promote best practices in data engineering and scientific computing.

Essential Skills/Experience:
- Pipeline engineering: Design, implement, and operate fit-for-purpose data pipelines for bioinformatics and scientific data, from ingestion to consumption.
- Workflow orchestration: Build reproducible pipelines using frameworks such as Nextflow (preferred) or Snakemake; integrate with schedulers and HPC/cloud resources.
- Data platforms: Develop data models, warehousing layers, and metadata/lineage; ensure data quality, reliability, and governance.
- Scalability and performance: Optimize pipelines for throughput and cost across Unix/Linux HPC and cloud environments (AWS preferred); implement observability and reliability practices.
- Collaboration: Translate scientific and business requirements into technical designs; partner with CPSS stakeholders, R&D IT, and DS&AI to co-create solutions.
- Engineering excellence: Establish and maintain version control, CI/CD, automated testing, code review, and design patterns to ensure maintainability and compliance.
- Enablement: Produce documentation and reusable components; mentor peers and promote best practices in data engineering and scientific computing.

Desirable Skills/Experience:
- Strong programming in Python and Bash for workflow development and scientific computing.
- Experience with containerization and packaging (Docker, Singularity, Conda) for reproducible pipelines.
- Familiarity with data warehousing and analytics platforms (e.g., Redshift, Snowflake, Databricks) and data catalog/lineage tools.
- Experience with observability and reliability tooling (Prometheus/Grafana, ELK, tracing) in HPC and cloud contexts.
- Knowledge of infrastructure as code and cloud orchestration (Terraform, CloudFormation, Kubernetes).
- Understanding of FAIR data principles and domain-specific bioinformatics formats and standards.
- Track record of mentoring engineers and enabling cross-functional teams with reusable components and documentation.
- Experience optimizing performance and cost on AWS, including spot strategies, autoscaling, and storage tiers.

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.

Why AstraZeneca:
Your engineering craft will fuel science at the crossroads of biology, data, and technology. You will collaborate with researchers, data scientists, and technologists to tackle complex diseases, using modern platforms and inclusive ways of working to turn uncertainty into insight. We value kindness alongside ambition, nurture resilience and curiosity, and pair the resources of a global leader with the agility to move at pace-from hands-on experimentation to shared learning and tangible impact for patients.

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada15 de gen.

React TSQL NoSQL Docker TypeScript AWS

Evinova is currently looking for an Sr. Fullstack Software Engineer to join our Product Engineering team with a higher focus on backend capabilities. 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 Sr. Fullstack Software Engineer in an emerging product that leverages AI capabilities to author all the needed documentation in preparation for a clinical study. 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 need to be capable of deploying your code. You are expected to thoroughly understand the Software Development Lifecycle and best practices that should allow you to help your fellow teammates., delivering/deploying the product, and escalate appropriately to your lead. You will also be coordinating with different teams as needed for integrations.

As an Sr. Fullstack Software Engineer, you are expected to provide tailored, high quality, operationally sustainable and complete code/solution. A solution is considered complete after you have developed, tested and released it. As a part of this:

- You will be collaborating with BA/Product/Design teams to understand requirements.

- You will be responsible for writing quality code to match the requirements.

- You will be coding using best practices and test your code locally.

- You will be ensuring proper code coverage and participate actively in regular code reviews.

- You along with your teammates will be deploying/releasing the product.

- You will raise and escalate any issues/blockers in time to your lead.

We consider individuals in this role to be our top tier Software Engineers. A top tier software engineer is capable of working in multiple spaces and is likely to be the most experienced and skilled engineer on the team to begin with. Learning new technology is part of that. However, you must have deep technical skills. Here are a few skills we are looking for in a person for this role (we will emphasize backend skills more during the hiring process) -

- Typescript

- NodeJS

- React

- SQL and noSQL databases

- Docker

- AWS

- CDK

- EKS

- Cognito (nice to have)

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

- 7+ years of hands-on software development experience

- Experience Working in IA (nice to have)