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Up Directory CCL 18.10.10 PostDoctoral Fellow at AstraZeneca Gothenburg - Novel Deep Learning Architectures for Drug Design
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Date: Wed Oct 10 12:47:22 2018
Subject: 18.10.10 PostDoctoral Fellow at AstraZeneca Gothenburg - Novel Deep Learning Architectures for Drug Design
Were currently looking for talented scientists to join our innovative 
academic-style Postdoc. From our centre in Gothenburg, you'll be in a 
global pharmaceutical environment, contributing to live projects right 
from the beginning. You'll take part in a comprehensive training 
programme, including a focus on drug discovery and development, given 
access to our existing Postdoctoral research, and supported to pursue 
your own independent research in state of the art laboratories. Its a 
rapidly growing programme spanning a range of therapeutic areas across a 
wide range of disciplines
Whats 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. This is an exciting area that hasn't been explored to its
full potential, making this an opportunity to make a real difference to
the future of medical science.
AstraZeneca is a global, innovation-driven biopharmaceutical business 
that focuses on the discovery, development and commercialisation of 
prescription medicines for some of the worlds most serious diseases. 
But we're more than one of the world's leading pharmaceutical companies.
At AstraZeneca, we're proud to have a unique workplace culture that 
inspires innovation and collaboration. Here, employees are empowered to
express diverse perspectives - and are made to feel valued, energised 
and rewarded for their ideas and creativity.

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. Cancer is one of the greatest
challenges facing medical science today. In collaboration with our
Oncology Team, you'll push the boundaries of science every day to
overcome that challenge. We've been at the centre of some of the 
biggest breakthroughs in oncology. In lung cancer, for example, we've 
brought together complementary expertise to aid discovery and accelerate
development in new medicines through a variety of partnerships and
initiatives. Were also early adopters of new technologies to support
innovation, including CRISPR, genome editing techniques, transcriptomics
and a next-generation sequencing platform for companion diagnostics in 
oncology. But were not stopping there. With a world-class pipeline and 
some of the best experts in the industry, were in a great position to
develop even more innovative therapeutic approaches and the
opportunities to develop your expertise here are limitless.

This is a fantastic opportunity to work within the field of deep 
learning technology and to apply own findings to drug design and 
ultimately improve human health. You'll work in an industry leading 
group with a very strong publication track record in developing deep
learning architectures for drug design and see the predictions made 
experimentally validated.

Education and Experience requirements:
	Excellent communication skills in both written and spoken English
	A PhD or equivalent experience in a relevant subject
	Expert knowledge in programming
	Expert knowledge in machine learning

	Basic knowledge in Cheminformatics and 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 experience in designing deep learning architectures

Skills and Capabilities required: 
	Extracting and modelling large data sets
	Applying state-of-the-art machine learning algorithms
	Passion for machine learning in particular and science in general
	Interact closely with experimentalists that will validate your 
	Aiming to publish in high-impact machine learning and medicinal 
chemistry 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 with a competitive salary on offer  
To apply for this position, please click the apply link below.

Advert opening date  11th October 2018 / Advert closing date  22nd November 2018

AstraZeneca is an equal opportunity employer. AstraZeneca will consider 
all qualified applicants for employment without discrimination on 
grounds of disability, gender or gender 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. 

If you share our passion for scientific excellence, find out more 
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