Senior Scientist - Chemoinformatics/Machine Learning

AstraZeneca / Kemistjobb / Göteborg
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Do you want to join a world-class team in developing respiratory medicines? Are you triggered by pushing the boundaries of science to meet unmet patient needs?

We are growing our diverse and creative team and are therefore recruiting a Senior Scientist within Computational Chemistry/Cheminformatics to join our Respiratory, Inflammation & Autoimmunity (RIA) department in Gothenburg

AstraZeneca is committed to the development of the next generation of innovative respiratory medicines and we want you on board to drive development forward. You will be part of our Computational Chemistry team, dedicated to leading the efforts of expanding the use of state of the art in silico methods for modelling, ligand design, property predictions and data analysis, supporting the projects. The team operates in a highly cross disciplinary environment in close collaboration with scientists from the Chemistry, Bioscience, DMPK and Pharmaceutical Sciences departments to advance the RIA project pipeline.

Main Duties and Responsibilities

You will have a profound impact on multiple projects across the RIA portfolio. Your focus will be on developing and applying new machine learning algorithms to support target specific and disease area specific questions from hit identification to lead optimization.

You will take on a key role in modelling and analysis of small and large datasets in the design of novel drugs and fully contribute to project progression.

You will join a large on-site cheminformatics and machine learning community, providing discipline based scientific insight and represent the department and AstraZeneca at interdisciplinary meetings and conferences.

We expect you to:

* Apply profound expertise within machine learning to a variety of drug discovery projects
* Support project teams with analysis, interpretation and visualization of chemical and biological data, as well as communicating the results within project teams and departments
* Identify and drive areas of scientific improvements by applying excellent knowledge of modern computational chemistry and cheminformatics
* Plan, write and publish high quality scientific papers
* Take an active position in ML platform teams to identify and deliver global solutions for key scientific questions

Essential Requirements

We believe that you are an engaged scientist with a with a strong computational background. You have a high degree of independence and strong expertise in machine learning supplemented by programming skills, which you will utilize by assist in the advancement of discovery programs.

* PhD or equivalent experience in computational chemistry, chemistry, computer science, statistics or a related field
* Proven knowledge of applied machine learning and chemistry
* Basic knowledge of medicinal chemistry
* Expertise in using different machine learning techniques and software as well as knowledge in scientific computing
* Programming skills (e.g. Python, Perl, C, C++, Java)
* Excellent interpersonal as well as communicational skills

Desirable Requirements

* Proven track record of working in drug design projects
* Experience from industry

If you are interested, apply now!

For more information about this position please contact Dr. Christian Tyrchan, Medicinal Chemistry, IMED RIA,

Welcome with your application no later than March 10th, 2019.



Information about life in Gothenburg, Sweden: www.movetogothenburg.com

Respiratory is one of AstraZeneca's main therapy areas. Our aim is to transform asthma and COPD treatment through inhaled combinations at the core of care, biologics for the unmet needs of specific patient populations, and scientific advancements in disease modification.

From a research perspective we work to understand, treat, modify and ultimately cure respiratory disease with an emphasis on four diseases with significant unmet medical need; asthma, COPD, Idiopathic Pulmonary Fibrosis (IPF) and Chronic Cough.

Our Respiratory research is mainly carried out at the dynamic AstraZeneca Research site in Gothenburg, Sweden. However, collaboration is a way of life for us. Extensive collaboration with our AstraZeneca colleagues in Cambridge UK, the MedImmune research units in Gaithersburg and Cambridge, as well as numerous academic institutions and partners around the globe gives us access to a worldwide network of expertise and innovation.

Our external collaborators expand both academic and biotech organisations including Imperial College London, Pieris, Bicycle Therapeutics, Ethris and many more. We aim to be flexible, responsive, open and honest and look for people, companies and investigators who share our collaborative spirit and high scientific standards.

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 or any other characteristic protected by law. AstraZeneca only employs individuals with the right to work in the country where the role is advertised.

Varaktighet, arbetstid
Heltid Permanent

Publiceringsdatum
2019-02-06

Ersättning
Not Specified

Så ansöker du
Sista dag att ansöka är 2019-03-06
Ange följande referens när du ansöker: R-044328
Klicka på denna länk för att göra din ansökan

Kontakt
AstraZeneca karin.lyckemalm@astrazeneca.com

Företag
AstraZeneca

Adress
AstraZeneca
43183
43183 1480

Kontorsadress
Pepparredsleden 1

Jobbnummer
4598341

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