Data Scientist - Computational Dmpk & Safety
AstraZeneca AB / Datajobb / Mölndal
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At AstraZeneca we win through science, it's at the heart of our every success. That science is only possible when we all work together - we'll always make sure you're clear about how your role is connected to our wider mission to really show what science can do.
We are looking to recruit Data Scientists in Computational ADME & Safety to join the Computational ADME & Safety team within the Clinical Pharmacology & Safety Sciences (CPSS) function at AstraZeneca's vibrant R&D sites in Gothenburg, Sweden or Cambridge, UK.
Clinical Pharmacology & Safety Sciences (CPSS) is a function within our Biopharmaceuticals R&D Unit. The role of CPSS is to characterize absorption, disposition, metabolism and elimination (ADME) properties of compounds, non-clinical toxicology and off-target pharmacology. Working in disease-focused project teams we help to discover efficacious molecules with good safety profiles. CPSS is committed to be an industry leader in supporting the discovery and non-clinical development of safe medicines that improve patients' lives. Within CPSS, the Computational ADME & Safety team is dedicated towards developing computational models to aid projects to design and select molecules with the right safety and ADME profiles.
As a Data Scientist in Computational ADME & Safety, you will work with cutting edge technology in an open and collaborative environment nursing novel ideas. The group has strong focus on method development within the computational area, acknowledging the need to in depth understanding of the safety or ADME properties of interest. Collaboration within and outside CPSS is essential.
Main Duties and Responsibilities:
As a Data Scientist in Computational ADME & Safety, your main responsibilities will involve:
You will have the opportunity to apply Machine Learning / Artificial Intelligence and mechanistic modeling approaches to ADME and safety endpoints assuring delivery of appropriate tools and in silico models to projects for virtual screening, compound selection and experimental prioritization.
Analyze data and model quality ensuring high performance of models and tools
You'll provide specialist support for development, interpretation and application of machine learning models along with knowledge of common database query languages e.g. SQL
Support analyses to provide mechanistic and translational insight into compound ADME and Safety profiles
Method development to improve models and enhance model value and generated knowledge
Requirements:
BSc degree (or equivalent) in life science, statistics or computer science, preferably with industry experience
Demonstrated knowledge in one or more of the following areas
Expertise in a variety of machine learning methods (e.g. Deep Learning, SVM, Random Forrest)
Computational chemistry, Computational toxicology or Cheminformatics
Expertise in high-performance computing and programming (e.g. Python, C++, Java). Experience using cloud platforms are beneficial.
Excellent communication skills and ability to work in a multidisciplinary research environment
Innovative thinking, with enthusiasm, energy and drive.
Open-minded, and ready to embrace new ideas and different perspectives.
Strong critical thinking, planning, organizational and time management skills.
Desirable:
PhD (or equivalent) in life science, statistics or computer science
Biological understanding of toxicology and/or drug metabolism and pharmacokinetics (DMPK) and modeling of ADME or safety endpoints
Closing date: Thursday 19 January 2020
If you are interested, apply now
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.
Publiceringsdatum2020-01-08Så ansöker duSista dag att ansöka är 2020-01-19
AdressAstrazeneca AB
PEPPAREDSLEDEN 1
43183 MÖLNDAL
Omfattning Detta är ett heltidsjobb.
Arbetsgivare Astrazeneca AB (org.nr 556011-7482)
Pepparedsleden 1 (
visa karta)
431 83 MÖLNDAL
Ansökan E-post:
Eric.Wangsell@astrazeneca.com Arbetsplats AstraZeneca Göteborg
Jobbnummer 5030515
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