|CCL 18.10.10 PostDoctoral Fellow at AstraZeneca Gothenburg - Novel Deep Learning Architectures for Drug Design|
From: jobs at ccl.net (do not send your application there!!!)
To: jobs at ccl.net
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: Essential: 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 Desirable: 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 predictions 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 at; https://careers.astrazeneca.com/students/programmes/post-doctoral-programmesNOTE THAT E-MAIL ADDRESSES HAVE BEEN MODIFIED!!!
All @ signs were changed to [*] to fight spam. Before you send e-mail, you need to change [*] to @
For example: change joe[*]big123comp.com to firstname.lastname@example.org
Please let your prospective employer know that you learned about the job from the Computational Chemistry List Job Listing at http://www.ccl.net/jobs. If you are not interested in this particular position yourself, pass it to someone who might be -- some day they may return the favor.
|Modified: Wed Oct 10 16:47:23 2018 GMT|
|Page accessed 1063 times since Thu Oct 11 05:54:14 2018 GMT|