Ai Scientist

hace 1 semana

Barcelona, Barcelona, España AstraZeneca A tiempo completo

ABOUT ASTRAZENECA


Join AstraZeneca, a global, innovation-driven BioPharmaceutical business that focuses on the discovery, development, and commercialisation of prescription medicines for some of the world's most serious diseases.

We are more than one of the world's leading pharmaceutical companies.

We are dedicated to being a Great Place to Work, where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit.


ABOUT THE OPERATIONS IT
TEAM
Operations IT is a global IT capability supporting the Global Operations organisation.

We business partner with Operations capability areas:

Pharmaceutical Technology Development, Manufacturing & Global Engineering, Quality Control, Sustainability, Supply Chain, Logistics and Global External Sourcing and Procurement.

We operate out of Operations hub sites including in the UK, Sweden, US, and China; and out of our Global Technology Centres in India and Mexico.

Here our work has a direct impact on patients - transforming our ability to develop life-changing medicines.

We empower the business to perform at its peak and lead a new way of working, combining cutting-edge science with leading digital technology platforms and data.

All with a passion to impact lives through data, analytics, AI, machine learning and more.

It's a dynamic and challenging environment to work in - but that's why we like it.

There are countless opportunities to learn and grow, whether that's exploring new technologies in hackathons, or transforming the roles and work of colleagues, forever.

This is your chance to be part of a team that has the backing to innovate, disrupt an industry and change lives.


THIS IS WHAT YOU'LL DO


We are recruiting a AI Scientist to join our newly established Data, Analytics & AI group for Operations IT spanning various business areas such as Develop, Manufacture, Supply Chain, Quality and Procurement.


Typical accountabilities include:

  • Using domainspecific understanding, translates unstructured, complex business problems into the appropriate data problem, model and analytical solutions.
  • Researches and develops advanced predictive models and computational methods to guide and shape decisionmaking within the project scope.
  • Provide training and advice to collaborators on optimal use of key data, analysis platforms and the appropriate use of data science.
  • Provide data science expertise to crossfunctional projects and shape delivery of data science solutions that drive value to AstraZeneca.
  • Develop, implement and maintain required tools and algorithms in a manner which meets regulatory and evidential requirements within project scope.
  • Review and develop working practices to ensure that data science work is delivered to robust quality standards.

YOU WILL NEED TO HAVE

  • Bachelors Degree (or equivalent numbers of years of experience) in operations research mathematics, computer science, engineering, physics, statistics, economics, computational sciences or a related quantitative discipline.
  • Demonstrated experience with modern data science approaches, including unsupervised and supervised classification and regression algorithms such as kmeans clustering, support vector machines, random forests, neural networks and deep learning. May also have expertise in advanced statistical modelling, or broader aspects of applied mathematics such as dynamical systems or optimisation.
  • Advanced knowledge and proven experience with the standard data science languages: R and Python (Python preferred) and familiarity with database systems (e.g. SQL, NoSQL, graph).
  • Understanding and familiarity with software development principles.
  • Experience of manipulating and analysing large high dimensionality unstructured datasets, drawing conclusions, defining recommended actions, and reporting results across stakeholders.
  • Excellent written and verbal communication, business analysis, and consultancy skills.
  • Good understanding of at least one business area where the data science is applied.
  • Master or PhD degree in OR, mathematics, computer science, engineering, physics, statistics, economics, or a related quantitative discipline.
  • Comfortable working in high performance computing or cloud environment.
  • Advanced software development skills.
  • Proven track record of publishing relevant OR or predictive modelling results and tools in peerreviewed journals, conferences, and other scientific proceedings.
  • Experience in life sciences and healthcare.
  • Experience in a complex global organization.

WHY JOIN US


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

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