Ai Scientist

hace 7 días

Barcelona, Barcelona, España Nlp People A tiempo completo

ABOUT ASTRAZENECAJoin 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 TEAMOperations 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 DOWe 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.

As an AI Scientist, you will direct the application of sophisticated quantitative expertise in advanced mathematical disciplines to develop innovative data science solutions.

You will work autonomously with limited direct supervision from senior team members and provide support to other AI Scientists promoting best practice across multiple domains, and/or stakeholder groups.


Typical accountabilities include:

  • Coordinate the implementation of novel modelling solutions designed to drive the interrogation of datasets for insights in scientific and business application areas within defined project scope. This includes integrating complex data from multiple different sources and modalities includes the application of specialized approaches in classification, regression, clustering, NLP, image analysis, graph theory and/or other techniques.
  • Using domain-specific 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 decision-making 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.
  • Apply expert AI research techniques, including establishment of hypotheses that can be approached using computational methods and tools.
  • Provide data science expertise to cross-functional projects and shape delivery of data science solutions that drive value to AstraZeneca.
  • Apply a range of data science methodologies, developing novel data science solutions where off-the-shelf methodologies do not fit.
  • Develop, implement and maintain required tools and algorithms in a manner which meets regulatory and evidential requirements within project scope.
  • Developing, maintaining and applying ongoing knowledge and awareness in trends, standard methodology and new developments in analytics and data science.
  • 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 k-means 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.
  • Demonstrated experience in the modelling of complex datasets in applied business and/or scientific application domains
  • 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.
  • Understanding of algorithm design, development, optimization, scaling and applications.
  • Excellent written and verbal communication, business analysis, and consultancy skills.
  • Good understanding of at least one business area where the data science is applied.
In addition, it is desirable for candidates to have:

  • 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 peer-reviewed journals, conferences, and other scientific proceedings.
  • Experience in life sciences and healthcare.
  • Experience in novel methods development and application.
  • Experience in a complex global organization.

WHY JOIN USWhen 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 connect across the whole business to power each function to better influence patient outcomes and improve their lives.

Impactful and valuable, this is where you come to raise your profile and do good for others.

We 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 and practical insights.

Are you ready to make a difference? Apply now and join us in our mission to push the boundaries of science and change livesAstraZeneca embraces diversity and equality of opportunity.

We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills.

We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirementsCompany: – AI Science SpecialistQualifications:Language requirements:Specific requirements:Educational level:Level of experience (years):Senior (5+ years of experience)

Tagged as:
Classification , Industry , Machine Learning , Neural Networks , NLP , Spain#J-18808-Ljbffr

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