Data Scientist-Predictive Computational Chemistry & ML

Data Scientist in Predictive Computational Chemistry & Machine Learning

Do you have expertise in, and passion for, deriving knowledge from data and computational modelling? Would you like to apply your expertise to implement transformative Artificial Intelligent 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 AstraZeneca might be of interest to you!

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. Always committed to lifelong learning, growth and development.

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.

We now have an exciting opportunity for a Senior Scientist or Associate Principal Scientist, depending on your background and experience, in our Data Science - Substance team. This role can be based in either Gothenburg, Sweden or Macclesfield, United Kingdom.



What you'll do

In this role you will get the opportunity to engage with key internal and external stakeholders 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

* Use a combination of data driven models and molecular modelling to predict and elucidate chemical structures of impurities and degradants of pharmaceutical substances as well as formulated drug products.
* Identify and utilize 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, and catalysis

Essential requirements

* PhD in computational chemistry or equivalent experience
* Track record of applying molecular modelling to druglike molecules
* Proven experience of using machine learning to build predictive models
* Skills and experience in modelling of chemical reactivity and analytical chemistry data
* Good 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 is beneficial.
* Excellent communication skills, written and spoken
* Self-motivated
* Team player

Why AstraZeneca

At AstraZeneca, we turn ideas into life changing medicines and strive to continuously meet the unmet needs of patients worldwide. Working here means being entrepreneurial, thinking big, and working together to make the impossible a reality. Ultimately, it's more than a job. We know that our work impacts people with serious conditions, many of whom have no other alternatives. That's what drives us - the potential to impact over one billion patients worldwide.

So, what's next?

Are you already imagining yourself joining us? Good, because we can't wait to hear from you! Welcome with your application; CV and cover letter, no later than February 27th .

For more information, please contact recruiting manager Christof Jäger, PhD at Linkedin Christof Jäger

Competitive salary and benefits package on offer.

Opening date: January 30th, 2023
Closing date: February 27th, 2023