Computational Chemist -Predictive Reactivity & Machine Learning
AstraZeneca AB / Kemistjobb / Göteborg
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hela Sverige Do you have expertise in, and passion for computational modelling and deriving insights and knowledge from multidimensional data? Would you like to apply your expertise to implement transformative Artificial Intelligence and Machine Learning based methods to drive the digital transformation in a company that follows the science and turns ideas into life changing medicines? Then join us in this exciting opportunity !
AstraZeneca is a global, science-driven BioPharmaceutical business and our innovative medicines are used by millions of patients worldwide. Ultimately, our aim is to work towards a cure for some of the world's most complex diseases. Whether that's by shaping the patient ecosystem and focusing on outcomes, or by progressing potential medicines and accelerating their launch.
Pharmaceutical Sciences at AstraZeneca delivers the therapies of the future through scientific leadership in drug delivery, design of synthetic routes, and manufacturing of Active Pharmaceutical Ingredients and drug products. In essence, we are working "from molecule to medicine" to develop medicines for our patients today and tomorrow.
The Data Science and Modelling department within Pharmaceutical Sciences is developing a digital transformation strategy to drive innovation, optimization of the drug development process and data-driven decision making.
What you'll do
We now have an exciting opportunity for an experienced Computational Chemist in our Data Science and Modelling - Substance team based in Gothenburg, Sweden and Macclesfield, United Kingdom. The role could be placed either in Gothenburg or Macclesfield.
In this role you will get the opportunity to engage with key internal and external partners to identify and validate impactful solutions to provide scientific leadership and drive innovation. You will work at the forefront of the digital transformation within AstraZeneca, turning ideas into life changing medicines for patients!
Typical responsibilities in this role
* Apply and develop combinations of molecular modelling, cheminformatics, and data driven machine learning approaches to predict and elucidate chemical structures and their reactivity patterns of impurities and degradants of pharmaceutical substances as well as formulated drug products.
* Identify and use internal and external data sources and test, develop, and implement new combinations of machine learning and mechanistic modelling workflows to predict physical chemical properties and drug substance reactivity to be used by other scientists.
* Support drug project campaigns with expert insights on chemical reactivity, stability, synthesis planning, and catalysis
* Support High Throughput Experimentation (HTE) developments with predictive chemistry approaches for (bio)-catalytic problem statements
Essential requirements
* PhD in computational (organic or bio-) chemistry or equivalent
* Track record of applying molecular modelling (Quantum Chemistry, Molecular Mechanics, QM/MM) to druglike molecules
* Knowledge in the field of chemical reactivity, synthesis, catalysis, and/or physical organic chemistry
* Proven experience of applied machine learning to build predictive models
* Self-motivated
* Team player
* Excellent communication skills, written and spoken
Desirable requirements
* Experience in drug development in an industrial setting
* Experience in coaching and leadership in scientific projects
* Experience in multi-disciplinary teamwork
* Advanced knowledge of Python programming including machine learning frameworks such as TensorFlow, Scikit-learn as well as cheminformatics packages such as, RDkit. Knowledge of end-to-end software such as PipelinePilot, Knime or Dataiku
Why AstraZeneca?
At AstraZeneca we're dedicated to being a Great Place to Work. Where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit. There's no better place to make a difference to medicine, patients and society. An inclusive culture that champions diversity and collaboration, and always committed to lifelong learning, growth and development. We're on an exciting journey to pioneer the future of healthcare.
So, what's next?
Welcome with your application; CV and cover letter, no later than May 16th, 2023.
For more information, please contact recruiting manager Christof Jäger, PhD at
https://www.linkedin.com/in/christof-jäger-2a509b175/ Competitive salary and benefits package on offer.
Opening date: 28th April, 2023
Closing date: 16th May, 2023
Ersättning Not Specified
Så ansöker du Sista dag att ansöka är 2023-05-12
Klicka på denna länk för att göra din ansökan Arbetsgivarens referens Arbetsgivarens referens för detta jobb är "R-165049".
Omfattning Detta är ett heltidsjobb.
Arbetsgivare Astrazeneca AB (org.nr 556011-7482)
Arbetsplats AstraZeneca
Kontakt AstraZeneca
galia.nystrom@astrazeneca.com Jobbnummer 7716329
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