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!
About the position
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.
The position will be based at our vibrant site in Gothenburg (Sweden) for one year.
Reponsibilities
Develop methodologies for computational drug development using machine learning and deep learning techniques.
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 ensuring knowledge transfer to IT engineering teams for IT solution builds 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.
Your profile
Essential for the role:
Advanced degree in computer science, data science, artificial intelligence, machine learning or related fields.
Excell