Associate Principal Data Scientist Pharmaceutical Development

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Associate Principal Data Scientist - Pharmaceutical Development - 12 months assignment - AstraZeneca

Are you a motivated Data Scientist with a solid background in traditional data science techniques and a keen interest in deep learning? If so, we have an exciting opportunity for you at AstraZeneca!

As an Associate Principal Data Scientist, you'll leverage your expertise to lead ground-breaking projects that revolutionize our drug development processes. Working within the Pharmaceutical Technology and Development (PT&D) department, you will be instrumental in transforming molecules into innovative medical treatments. PT&D is at the forefront of developing breakthrough synthetic routes, drug formulations and delivery technologies to ensure our products meet the highest standards of efficacy, safety, and quality.

In this role, you will lead projects involving chemical property prediction and scientific knowledge discovery using machine learning and deep learning techniques. Your contributions will be vital in shaping our approach to drug development and advancing our mission to deliver life-changing medicines to patients.

You will work hands-on with modern data science and machine learning methods, including developing and evaluating models using programming languages such as Python (and/or R) and state-of-the-art machine learning frameworks (e.g. PyTorch, TensorFlow). Collaboration with engineering and MLOps teams will be an important part of the role to enable robust deployment of models in production environments.

The position will be based at our vibrant site in Gothenburg (Sweden) for one year.



Accountabilities:

• Develop methodologies for computational drug development using machine learning and deep learning techniques

• Apply advanced machine learning approaches such as deep learning, NLP or generative AI to enable chemical property prediction and knowledge discovery

• Create visualizations to aid in the intuitive representation of graph data and to facilitate stakeholder engagement and interpretation of results

• Collaborate with cross-functional teams, including IT engineering and MLOps, ensuring effective knowledge transfer for solution build and deployment

• Keep pace with industry advancements by reviewing academic papers and attending conferences. Publish findings in peer-reviewed journals and represent the company at scientific forums

• Communicate technical concepts and results to technical and non-technical audiences

Why AstraZeneca?

At AstraZeneca, we're dedicated to being an outstanding Place to Work. Where you are empowered to push the boundaries of science and spark your high-reaching spirit. There's no better place to make a difference to medicine, patients, and society. An inclusive culture that champions diversity and partnership, and always committed to lifelong learning, growth, and development. We're on an exciting journey to pioneer the future of healthcare.

Are you ready to bring new insights and fresh thinking to the table? Brilliant! We have one seat available, and we hope it's yours.