Experienced Principal AI Scientist in Chemistry, Pharmaceutical Sciences
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Job Location:
Monthly Salary:
Posted on:
18 hours ago
Vacancies:
1 Vacancy
Job Summary
Do you have theexpertiseand passion to harness Artificial Intelligence (AI) for drug development in the pharmaceutical industryJoin AstraZeneca and use yourexpertiseto implement groundbreaking methodologies accelerate digital innovation and help deliver life-changing medicines to patients worldwide. Thisisntjust aroleitsyour opportunity to transform the future of medicine and improve millions of lives.
What we do
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 worlds most complex diseases. Whether thats 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 essence we are working from molecule to medicine to develop medicines for our patients today and tomorrow.
The Predictive Science Digital and Automation (PSDA) department leads the digital transformation of Pharmaceutical Sciences to drive innovation optimize drug development and enable data- and predict-first driven decisions. We develop and apply computational chemistry machine learning (ML) and Artificial Intelligence (AI) methodologies - coupled with user centric informatics for seamless data capture integration insight and prediction. This is coupled with strong leadership and expertise to advance lab and process automation all to accelerate projects.
The role
We are now seeking for a Principal AI scientist to join our team in Gothenburg Sweden. This role will be at the heart of driving agentic AI and cross-departmental digital transformation within Pharmaceutical Sciences.
We are looking for a candidate who is experienced in deploying graph based deep learning and/or agentic AI systems in chemistry drug delivery and formulation science and is skilled atharnessing and connecting scientific knowledge from complex data. The ideal candidate will have demonstrated success embedding AI solutions within scientific teams working collaboratively across departments and navigating a landscape rich in existing and evolving digital platforms.
Youll leverage your expertise to develop and lead our efforts in implementing agentic AI solutions into predict-first driven drug development workflows bridge experimental and data science and work with automation specialists to implement self-learning lab concepts. You will help shape our approach to leveraging AI models designing orchestration and prompt engineering strategies and collaborate to ensure we are at the forefront of fundamental AI developments.
Your core responsibilities will include:
Lead the design and implementation of agentic AI systems to facilitate scientific discovery and drive productivity.
Deliver agentic AI and generative AI based solutions for drug development tasks
Embed within and collaborate across scientific digitisation and IT teams to ensure that AI-driven solutions are both impactful and well-integrated into current workflows.
Represent the group internally and externally sharing insights on how best to deploy agentic AI to unlock data-driven value within R&D.
Foster a scientific culture that connects lab innovation with advanced computational methods leading to a predict first mindset in early drug development
Collaborate internally & externally to pursue the development of foundation models for Chemistry Manufacturing and Control (CMC)
Essential requirements for the role:
PhDin natural sciences
Several years of industrial experience in the field of drug design pharmaceutical chemistry or drug development
Expert knowledge inusing generative AI applied to drug design and development( ML and representation learning;agentic AI and orchestration; Scientific data integration)
Domain knowledge incomputational chemistrychemical informaticsand/orlaboratoryand dataworkflowspreferred
Excellent communication skills written and spoken; self-motivated team player
Experience in project leadership
Demonstrated System-level design and platform thinking
Demonstrated external reputation (e.g. via internationally recognisedpublicationtrack record)
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 its more than a job. We know that our work impacts people with serious conditions many of whom have no other alternatives. Thats what drives us the potential to impact over one billion patients worldwide.
So whats next
Are you already imagining yourself joining us Good because we cant wait to hear from you!Welcome with your application; CV and cover letter no later 15 February 2026.
Date Posted
02-Feb-2026Closing Date
15-Feb-2026Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion starting with our recruitment process. We welcome and consider applications from all qualified candidates regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations please complete the section in the application form.Required Experience:
Staff IC
Key Skills
- Machine Learning
- Python
- Data Science
- AI
- R
- Research Experience
- Sensors
- Drug Discovery
- Research & Development
- Natural Language Processing
- Data Analysis Skills
- Toxicology Experience
About Company
AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, ... View more
