PostDoc Fellow - Applying machine learning and Big Data analysis
AstraZeneca Göteborg / Apotekarjobb / Mölndal
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hela Sverige PostDoc Fellow - Applying machine learning and Big Data analysis to make chemistry automation more successful.
At AstraZeneca, we believe in the potential of people who share our passion for science. By thinking boldly and working collaboratively to pursue discoveries beyond imagination, you'll develop further and faster than you thought possible. We'll complement your drive and determination to meet unmet patient needs around the world with the inspiration and opportunities to enhance your niche expertise and build your skills. So if you're curious about what science can do, come and make a difference.
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 technology experts in the industry, all collaborating on high-profile drug discovery projects. With a wide range of responsibilities, from sample management and screening to bio-reagent supply, the opportunities to develop your expertise here are limitless.
Main duties and responsibilities
Working with a world-leading academic cheminformatics group and top-class scientists, you'll be part of a project that aims to make a step change in the utility of chemistry automation by employing existing and specifically created knowledge to predict the feasibility of chemical reactions. This is a unique opportunity to work with real large datasets to estimate how large part of current relevant chemical space can be covered by a set of chemical reactions.
Extracting and integrating data, applying state-of-the-art machine learning algorithms and analysing Big Data sets to extract actionable knowledge will all be part of your role. You'll have your predictions validated through experiments done by internal and/or external collaborators. We'll expect you to publish in high-impact cheminformatics and medicinal chemistry journals
The role will entail cross-disciplinary working with scientists from different parts of AstraZeneca and interaction with postdoctoral and PhD students from several other research projects
Essential requirements
PhD and/or MD or equivalent experience in a relevant subject
Basic knowledge of programming
Basic knowledge of machine learning
Basic knowledge of cheminformatics
Excellent communication skills in both written and spoken English.
Desirable requirements
Basic knowledge of medicinal chemistry
Proven experience in programming in a language relevant to the project like C++ and/or Python
Application of machine learning to relevant scientific problems, preferably to predict feasibility of chemical reactions
Experience of large-scale data cheminformatics analysis.
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. AstraZeneca only employs individuals with the right to work in the country/ies where the role is advertised.
This is a 3 year Fixed Term Contract opportunity. The role will be based at Gothenburg, Sweden or, for an exceptional candidate, Cambridge, UK with a competitive salary on offer
At AstraZeneca, we believe in the potential of people who share our passion for science. By thinking boldly and working collaboratively to pursue discoveries beyond imagination, you'll develop further and faster than you thought possible. We'll complement your drive and determination to meet unmet patient needs around the world with the inspiration and opportunities to enhance your niche expertise and build your skills. So if you're curious about what science can do, come and make a difference.
As a world leader in cardiovascular and metabolic medicines, we're always working on innovative new drugs that will change lives across the globe. To make that happen, we've divided our small molecule research strategy into three priorities: cardiac regeneration, islet health in diabetes and diabetic nephropathy. You'll focus your efforts on making real progress toward slowing, stopping or curing some of the most aggressive diseases that face humanity today.
Publiceringsdatum2017-03-27Så ansöker duSista dag att ansöka är 2017-04-17
Klicka på denna länk för att göra din ansökanFöretagAstraZeneca Göteborg
AdressAstraZeneca Göteborg
Pepparedsleden 1
43183 MÖLNDAL
KontorsadressPepparedsleden 1
Jobbnummer 3399521
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