Assoc.Principal Graph Data Scientist Pharmac. Development
AstraZeneca AB / Datajobb / Göteborg
2025-05-23
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hela Sverige Visa alla jobb hos AstraZeneca AB i Göteborg,
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hela Sverige Are you a motivated Data Scientist with a solid background in traditional data science techniques and a keen interest in graph data science? If so, we have an exciting opportunity for you at AstraZeneca!
Pharmaceutical Technology and Development (PT&D) is the organization that turns brilliant science into actual medicines that help millions of people. We work across the entire value chain, designing and delivering active ingredients, formulations and devices for new medicines and providing expert technical support to all AstraZeneca's commercial drug substances and products to ensure we successfully supply medicines to patients.
As an Associate Principal Graph Data Scientist, you'll leverage your expertise to lead groundbreaking projects that revolutionize our drug development processes. Working within the 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 reaction modelling, synthesis pathway optimization, chemical property prediction, and scientific knowledge discovery using graph-based machine 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) or Macclesfield (UK).
Accountabilities
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Use graph theory to extract meaningful scientific patterns, community structures, and informative insights from large graph datasets.
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Develop methodologies for computational drug development using graph-based machine learning techniques.
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Create visualizations to aid in the intuitive representation of graph data and to facilitate stakeholder engagement and interpretation of results.
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Collaborate with cross-functional teams ensuring knowledge transfer to IT engineering teams for IT solution builds and deployment.
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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.
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Communicate technical concepts and results to technical and non-technical audiences.
Essential skills/experience:
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Advanced degree in computer science, data science, artificial intelligence, machine learning or related fields.
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Excellent coding skills in languages such as Python, R.
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Significant industrial experience in data science with a focus on graph machine learning and experience with ML frameworks like PyTorch, TensorFlow, or DGL.
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Hands-on industrial experience with extracting insight from graph databases such as Neo4j Enterprise.
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Significant hands-on industrial experience with applied machine learning domains such as deep learning, NLP, GenAI.
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Experience developing data science models and partnering with MLOps teams to productionise models
Desirable skills/experience:
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Contributions to open-source projects. If you meet this criteria, please highlight merged GitHub PRs in your application.
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Strong publication record in the field of AI.
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Experience delivering machine learning projects with applications in pharmaceutical development, chemical engineering or chemistry.
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Experience with one or more of the following applied machine learning domains such as transfer learning, federated learning, few/zero shot learning, meta learning, explainable AI.
When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.
AstraZeneca is a place where change is embraced and new solutions are trialed with patients and business in mind. Our diverse workforce is united by curiosity, sharing learnings and scaling fast. By being digitally-enabled, we make a significant impact on society, the planet, and our business. Feel the support and investment of our leaders as we accelerate our digital journey forward.
Ready to make a difference? Apply now to join us on this exciting journey!
Welcome with your application no later than June 5th 2025.
Competitive salary and benefits package on offer.
Opening date: May 23rd, 2025
Closing date: June 5th, 2025
Ersättning Not Specified
Så ansöker du Sista dag att ansöka är 2025-06-02
Klicka på denna länk för att göra din ansökan Arbetsgivarens referens Arbetsgivarens referens för detta jobb är "R-227384".
Omfattning Detta är ett heltidsjobb.
Arbetsgivare Astrazeneca AB (org.nr 556011-7482)
Arbetsplats AstraZeneca
Jobbnummer 9357735