Postdoc Fellow - Use AI to discover novel chemical reactions
AstraZeneca / Biomedicinjobb / Göteborg
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hela Sverige AstraZeneca is 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're proud to have a unique workplace culture that inspires innovation and collaboration. We believe in the potential of our people and you'll develop beyond what you thought possible.
The new R&D Oncology organisation brings together early and late oncology teams, from discovery through to late-stage development, with oncology specific Regulatory and Biometrics groups.
You'll be in a global pharmaceutical environment but also exposed to strong rigorous academic science. For example, every postdoc has an external academic mentor to ensure we are working and publishing at the highest level in a field. What's more, you'll have the support of a leading academic advisor, who'll provide you with the guidance and knowledge you need to develop your career.
Our Discovery Sciences team operates from truly state-of-the-art centres spanning the UK, US and Sweden. You'll work with some of the most knowledgeable technological experts in the industry, all collaborating on high-profile drug discovery projects.
This is a fantastic opportunity to work within the field of machine learning and artificial intelligence to apply own findings to drug design and ultimately improve human health. You'll work within a multi-disciplinary team with a strong publication track record in developing new machine learning methods for drug design.
Artificial intelligence is everywhere around us and its application to drug design is a fast-moving field with a lot of promise. One of the hottest areas is in synthesis prediction. While methods to accurately predict outcomes of reactions have been developed, no one has so far developed an algorithm that use artificial intelligence to predict novel chemical reactions. The current project intends to make a step change in the way we execute a drug discovery project through identifying novel chemical reactions.
* You'll be responsible in using machine learning/artificial intelligence on a knowledge graph with chemical reaction data to discover novel chemical reactions and experimental conditions for existing chemical reactions.
* You'll actively collaborate with experts in chemical synthesis and chemistry automation which will validate the proposed reactions and reaction conditions in the chemistry lab.
* All our post doc benefit of the expertise of an external academic group recognized in the field which will co-supervise the work
* Work together cross disciplinary with scientists from different parts of AstraZeneca and to interact with postdocs and PhD students from several other research projects
* Publishing the work in high quality scientific journal is among our main priorities
Education and Experience required:
Essential:
* Excellent communication skills in both written and spoken English
* A PhD or equivalent experience in computer science or cheminformatics or related research field
* Experience in programming especially Python
* Experience in using machine learning tools
Desirable:
* Basic knowledge in medicinal and organic chemistry
* Experience in deep learning or equivalent advanced machine learning method
* Expertise in high-performance computing (Unix/Linux environment
* Experience in database programming
Skills and Capabilities required:
* You are expected to have a high degree of independence as well as collaboration skills.
*
Ambition to publish in high-impact machine learning and drug discovery journals
This is a 3 year programme. 2 years will be a Fixed Term Contract, with a 1 year extension which will be merit based. The role will be based in Gothenburg, SE, with a competitive salary on offer. To apply for this position, please click the apply link below.
Advert opening date - 31st May 2019 / Advert closing date - 9th August 2019
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.
Varaktighet, arbetstid
Heltid Temporary
Publiceringsdatum2019-06-03ErsättningNot Specified
Så ansöker duSista dag att ansöka är 2019-06-20
Ange följande referens när du ansöker: R-046183
Klicka på denna länk för att göra din ansökanKontaktAstraZeneca UK
Emma.wood@astrazeneca.comFöretagAstraZeneca
AdressAstraZeneca
43183
43183 1480
KontorsadressPepparedsleden 1
Jobbnummer 4819000
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