Ofertas de empleo en AstraZeneca

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada25 jul.

Python Jenkins Linux Cloud Coumputing Kubernetes Ansible Git Bash DevOps Machine Learning Office

Introduction to role:

Are you ready to dive into the dynamic world of cloud engineering and machine learning operations? As a Cloud and DevOps Engineer within our MLOps team, you´ll be at the forefront of innovation, collaborating with a global network of engineers, architects, business analysts, and project managers. Your mission? To support biologics and antibody drug discovery through cutting-edge technology in our Biologics Discovery Platform.

Accountabilities:

What will you achieve in this role?

- Create secure, scalable, and cost-efficient cloud infrastructure for application development.
- Deploy and maintain self-serve engineering platform tools and applications for CI/CD, observability, security, and more.
- Monitor cloud costs and usage patterns to optimize expenses and reduce the CO2 footprint of our applications.
- Align with the central cloud security team to ensure our infrastructure meets enterprise security standards.
- Collaborate with development teams to enhance application performance.
- Regularly update infrastructure with minimal downtime.
- Build standardized CI/CD shared pipelines for use across multiple projects.
- Implement infrastructure monitoring and continuously improve availability.

Essential Skills/Experience:

- In-depth experience with setup, configuration, and maintenance of Cloud services.
- Experience with automated deployment tools and the principles of CI/CD using tools such as Jenkins, CloudFormation, CDK, Ansible, Helm, etc.
- Good understanding of containerization and orchestration (K8S experience preferable).
- Experience in cloud design.
- Experience in system maintenance, recovery, and administration across Linux and Windows.
- Basic understanding of database systems (Relational/NoSQL).
- Experienced user of Git with understanding of branching and Git flows.
- Good knowledge of IT Security, particularly how it pertains to running services in the Cloud.
- Scripting experience in Python, Bash or similar.
- Knowledge & experience of Enterprise Identity Management (e.g., SSO, SAML, OpenID Connect).
- Solid understanding of application architectures including Cloud Native approaches to infrastructure.
- Exposure or have worked as a DevOps/SRE/Cloud Engineer in the past.
- Experience in creating and maintaining managed cloud services (virtual machines, Kubernetes clusters, File systems, Object stores, databases, etc.).
- Experience working on one of the major cloud platforms.

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, innovation is at the heart of everything we do. We embrace change and trial new solutions with patients and business needs in mind. Our diverse workforce is united by curiosity and a commitment to sharing learnings quickly. With digital enablement as a key driver, we aim to make a significant impact on society, the planet, and our business. Feel empowered by our leaders as we accelerate our digital journey forward.

Ready to make a difference? Apply now and be part of our transformative journey!

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada20 jul.

Agile R Excel Office

Location: Barcelona - Spain (3 days working from the office and 2 days working from home)

Are you a passionate health economic modeller? Do you love the application of health technology assessment (HTA) methodology to translate data into evidence to inform better decision-making? Would you like to apply your experience in a company that follows the science and turns ideas into life changing medicines? Then come and join us!

Working at AstraZeneca means being seeing the picture and working together to make the impossible a reality. We’re focused on the potential of science to address the unmet needs of patients around the world.

The Global Market and Access Pricing (GMAP) team at AstraZeneca are creating a new Centre of Excellence for HTA Statistics and Modelling Science at our global Barcelona hub to meet the needs of our growing pipeline and the external environment. We have exciting opportunities for experienced health economic modellers and applied HTA methodologists to join our HTA and Modelling Science (HMS) team at either a Lead or Director level.

GMAP covers a diverse range of therapeutic areas including Cardiovascular, Renal & Metabolism, Respiratory & Immunology, and Vaccines & Immune Therapies. As part of a multi-disciplinary group, including HTA statisticians, payer evidence experts and market access specialists, you will be helping us to shape the payer environment, creating and delivering high quality health economic models to help us unlock the potential of our life-changing medicines for patients around the world.

What You’ll Do

In this role, you will lead the development of high-quality health economic models, that meet the requirements and expectations of HTA agencies and policy decision-makers to support patient access to our innovative medicines. With the growing use of HTA, including the upcoming Joint Clinical Assessment in Europe, you will play an important role in shaping what we do and how we do it. By being at the forefront of methodology and innovation in the field, you will help us position the Centre of Excellence for HTA Statistics and Modelling Science as a collaborative, reputable, and trusted expert group among HTA, policy and academic stakeholders.

Development of our people is very important to us. As part of our new Centre of Excellence, there will be opportunities to learn and further develop skills, as well as spread your knowledge and increase the overall capabilities in the organisation.

For Our Lead Role, You Should Have

• Expert knowledge and ability to develop end-to-end decision-analytic models, such as cost-effectiveness and budget impact models fit for submission to reimbursement agencies.
• Significant experience modelling in multiple packages (e.g., Excel and creation of VBA codes or R), while keeping at abreast with cutting edge modeling approaches
• Expert knowledge of global HTA systems and subject-matter expertise to unlock modelling challenges and propose methodologically sound, pragmatic, and agile solutions to the team.
• Excellent verbal and written communication skills to present to various audiences and develop technical documents like model protocols or model reports and engage with HTA bodies to address model-related queries.
• Excellent collaboration and interpersonal skills to be able to integrate in a Global cross-functional matrix to deliver objectives and ensure alignment with relevant internal and external stakeholders.
• Substantial experience interpreting clinical data and collaborating with statisticians to deliver trial analyses required to parameterise health economic models.
• Strong understanding and experience of the methods and application of indirect treatment comparisons in health economic models
• Degree in relevant field such as quantitative social sciences (e.g. economics, health economics, health services research), mathematical sciences (e.g. mathematics, statistics, operations research, engineering) or equivalent quantitative skill demonstration (e.g. through development in the workplace).
  
  

• Leadership and strategy setting on HTA modelling and simulation (including indirect treatment comparisons, utility analyses, survival analysis, treatment switching, and other advanced analytics used for HTA and wider market access) across different indications.
• Significant experience of hands-on modelling of patient level simulations, dynamic models, application of risk equations, parametric survival techniques, and Bayesian analyses, among others.
• Develop global standards, guidelines, best practice, and metrics within the team. Lead quality assurance on the implementation of accepted methods for modelling and full validation of health economic models prior to submissions to HTA bodies or scientific journals.
• Develop and maintain an external network of experts and participate as an expert in collaborations to drive new and innovative HTA methods.
  
  

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada17 jul.

Office

Are you ready to make a difference in the world of rare diseases? At Alexion, AstraZeneca´s Rare Disease Unit, we are on a mission to build next-generation patient-centric data analytic and application platforms. We are seeking a passionate Associate Director, Data Management to join our RDU IT Data & AI Team. In this pivotal role, you will collaborate with AstraZeneca Data Office, IT Business Partners, Data Capability Leads, and business and technical leadership to ensure that Alexion´s data is used effectively, strategically, and securely. Your focus will be on overseeing the development and management of mature data products, ensuring their ongoing value delivery and compliance. Are you ready to lead the charge in transforming healthcare data into actionable insights?

Accountabilities:

- Lead the vision, strategy, development, and ongoing management of Alexion´s Data Products and Data Marketplace.

- Ensure continuous compliance of Data Products with global data management policies and regulatory requirements.

- Establish and enforce data quality standards, frameworks, and metrics.

- Collaborate with cross-functional teams to collect requirements and maximize value.

- Support key data strategies such as Data Governance and Master Data Management.

- Drive alignment with AstraZeneca Enterprise teams for cohesive data architecture.

- Identify and mitigate risks related to data security and continuity.

- Monitor usage, performance, and KPIs of mature data products.

- Promote adoption of Data Products through training and support.

- Present plans, progress, and outcomes to senior management.

- Mentor a team of data management professionals.

Essential Skills/Experience:

- Bachelor´s or Master´s degree in Data Science, Information Management, Computer Science, or related field

- Extensive experience (typically 7+ years) in Data Management, Data Products, Data Quality, and Metadata Management, with at least 3+ years in a leadership role

- Hands-on experience with DataOps platforms such as Collibra and cloud-based data integration technologies

- Strong leadership, problem-solving, and communication skills, with the ability to translate technical concepts for non-technical audiences

- Knowledge of biotechnology or pharmaceutical industry data needs

- Certification in data management or related discipline preferred

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! Our commitment to patients drives us to push boundaries and redefine possibilities. Here, you can enjoy the entrepreneurial spirit of a leading biotech combined with the resources of a global pharma. We empower our employees to take ownership of their careers while making a meaningful impact on patients´ lives. Join us in our mission to change lives for the better.

Ready to embark on this exciting journey? Apply now to become part of our dynamic team!