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Up Directory CCL 18.05.15 Machine Learning and Cheminformatics Experts - AstraZeneca. Gothenburg, Sweden, Cambridge, UK or Waltham, USA
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Date: Tue May 15 09:47:35 2018
Subject: 18.05.15 Machine Learning and Cheminformatics Experts - AstraZeneca. Gothenburg, Sweden, Cambridge, UK or Waltham, USA
Position: Machine Learning and Cheminformatics Experts
Location: Gothenburg, Sweden, Cambridge, UK, Waltham, USA
Salary:   Competitive, with excellent benefits.

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. Were 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, its also a place with a collaborative culture, and flexible 
working environment, where youll feel valued, energised and rewarded for 
your ideas and contributions.

Artificial Intelligence and Machine learning has the potential for profound 
impact in Drug Discovery. We are looking to build our cheminformatics and 
machine learning team to apply these technologies globally across AstraZeneca 
As a key part of this initiative you will combine computational chemistry, 
cheminformatics and machine learning to progress the AstraZeneca project 
portfolio. You will work with cutting edge technology in an open and 
collaborative environment nurturing novel ideas and working alongside drug 
project teams.

Our team is spread across our main hub locations in Cambridge, UK, Gothenburg, 
Sweden and Boston, USA. We welcome applications from applicants currently based /or happy to work in 
these locations.

You will have a profound impact on multiple projects across AstraZeneca Discovery 
with a focus on building machine learning models and applying the models together 
with the project team to discover new drugs. You will have a key role in creating 
datasets for machine learning, molecular de novo design, synthesis prediction drug 
design, and models to predict target activities. A major component will be to assure 
that AstraZeneca gets a maximum value out of all of its proprietary data. You will 
also provide discipline based scientific leadership and represent the department and 
AstraZeneca at interdisciplinary meetings internally as well as externally.

Impact multiple discovery projects simultaneously by efficiently and pro-actively 
applying a wide variety of machine learning methods and building models for 
molecular de novo design, synthesis prediction, ADME and bioactivity predictions.
Actively contribute to AstraZeneca data integration, machine learning model 
building and data exploitation efforts.
Drive scientific leadership in applying machine learning in drug discovery
Drive scientific progress in machine learning through supervising postdocs, 
PhD students.
Plan, write and publish high quality scientific papers

We are seeking candidates who share our passion for Drug Discovery with a PhD 
(or equivalent experience) in Computational Chemistry, Cheminformatics or Computer 
Science, and preferable industry experience who would like to join our fast-paced 
multidisciplinary Discovery Sciences computational chemistry team.

Expertise in a variety of machine learning methods (e.g. Deep Learning, SVM, 
Random Forrest)
Solid knowledge of computational chemistry; Cheminformatics and Machine Learning 
Proven expertise in high-performance computing and programming (e.g. Python, 
C++, Java)
Expertise in applying machine learning models into projects
Very good written and verbal communication skills
Excellent publication track record

If you are interested, please apply now using the link below, uploading your CV 
and covering letter. 

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.
Please apply on the AstraZeneca career site by clicking on the link below:
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