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Location:
Cambridge, England, United Kingdom
Gothenburg, Västra Götaland, Sweden
Job reference: R-026637
Posted date: Apr. 19, 2018

Position:             Machine Learning/Artificial Intelligence Data Scientist

Location:            Cambridge UK/Gothenburg Sweden

Salary:                Competitive + excellent benefits

As part of AstraZeneca’s continuing investment in machine learning (ML) and artificial intelligence (AI) we have several open positions for skilled ML/AI researchers and engineers. You will be joining a diverse team of data scientists working across the fields of statistics, bioinformatics and computer vision in the Quantitative Biology department and can be based in either Cambridge, UK or Gothenburg, Sweden. In this role you will create advanced ML models to dramatically improve all aspects of drug discovery, from generating testable hypotheses about targets, to predicting compound properties, to automating complex decision-making processes, and to turning data into knowledge. By pushing the boundaries of AI and ML you will contribute to delivering life-changing medicines. You will be expected to proactively seek opportunities to contribute; influencing at all levels, from bench scientists to senior business leaders. Engaging with the external environment via publications, presentations, and academic collaborations will be an important component of your work.

About AstraZeneca

As one of the world's leading pharmaceutical companies, our business is focused on providing innovative, effective medicines that make a real difference in important areas of healthcare. At AstraZeneca, innovation is about more than just research. We’re focused on providing medicines that make a real difference in patient care. AstraZeneca is a place where you can drive innovation in small molecule and biological research and development, and it’s also a place with a collaborative culture, where you’ll feel valued, energised and rewarded for your ideas and contributions.

As a ML/AI Data Scientist your skills and qualifications will ideally include:

  • Strong quantitative background with a PhD in computer science, mathematics, statistics, data science, engineering, or similar.
  • Broad experience in data analysis and classical supervised and unsupervised ML methods such as random forests, SVMs, penalized regression, KNN, clustering, dimensionality reduction, and ensemble methods.
  • Deep knowledge of at least one of the following areas: deep learning, reinforcement learning, natural language processing, Bayesian methods (probabilistic programming, Gaussian processes).
  • Programming proficiency and experience with relevant software tools such as R, Python and MATLAB (other programming languages welcome), version control (Git/Bitbucket), and databases (SQL as well as NoSQL).
  • Working in a Linux environment, with experience of cluster or cloud computing (e.g. AWS or Azure).
  • Excellent communication and presentation skills.

Your main responsibilities will involve:

  • Developing and implementing machine learning models with well organised and documented code.
  • Building or internalizing, appropriate algorithms and techniques to answer defined biological questions.
  • Working with drug discovery projects and therapeutic areas to identify and deliver solutions for addressing key biological questions.
  • Building knowledge of ML/AI capabilities across R&D.
  • Contributing to and leading local and global projects for the Quantitative Biology department.
  • Keeping up to date with advances in ML/AI methods and software

AstraZeneca welcomes applications from all sections of the community.

AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, gender identity or re-assignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law.

Machine Learning/Artificial Intelligence Data Scientist
Information Technology

AstraZeneca in the UK

Our 6,700-strong UK workforce is based across seven sites in the UK, including our new research facilities and global corporate headquarters in Cambridge. The Cambridge Biomedical Campus (CBC) is globally renowned as a leading centre of research, education and patient care. For AstraZeneca, the campus is the perfect environment in which to foster a vibrant culture of open innovation and collaboration.

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