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Senior Scientist– Predictive Stability, Pharmaceutical Product Development

Lieu Mölndal, Västra Götaland County, Sweden Job ID R-249524 Date de publication 04/08/2026

At AstraZeneca, we put patients first and strive to meet their unmet needs worldwide. If you are swift to action, willing to collaborate, and curious about what science can do, don't hesitate to apply!

We are currently looking for a Senior Scientistin Predictive Stability in Global Product Development (GPD) in Gothenburg.

Pharmaceutical Technology and Development(PT&D), sits within Operationsand is the organisation that bridge between brilliant science and innovative medicines that help millions of people. We work across the entire value chain, designing and delivering the active ingredients, formulations and combination products required to support new medicines – from supplies for use in early toxicology studies and clinical trials to developing the technology to ensure drugs can be scaled up for commercial manufacture.

As a Senior Scientistin Predictive Stability in GPD you will operate across a technical specialism that impacts drug projects portfolio‑wide, from early development to on‑market, and you will be instrumental in expanding this capability globally across sites and functions. You will also play a key role in delivering the group’s strategic direction, ensuring alignment with Analytical Development and broader business strategies.

Key accountabilities:

  • Design and evaluate Accelerated Predictive Stability (APS) studies for drug products across modalities and dosage forms, using appropriate predictive modelling tools.
  • Develop stability strategies for drug products in collaboration with the drug product projects.
  • Deliver Predictive Stability CMC technical content for contribution to regulatory filings and preparation of successful responses to questions, applying sound knowledge of regulatory guidelines (e.g., ICH, EMEA, FDA) and other territorial requirements.
  • Demonstrate scientific guidance to facilitate strategic development of drug projects and technical development of other scientists.
  • Interpret analytical data and draw reliable conclusions and recommendations to influence future work.
  • Coach and support the development of more junior staff.
  • Apply data science tools, including AI/ machine learning (ML), to advance analytical interpretation and data flow.

Essential Requirements:

  • BSc, MSc or equivalent in a relevant subject area with a proven track record in the pharmaceutical environment or a PhD with significant experience.
  • Experience in designing, deploying and leading strategic initiatives around drug product stability.
  • Experience in the application of Predictive Stability modelling in the development of product control strategies.
  • A strong understanding of stability indicating critical quality attributes applicable for Predictive Stability studies.
  • Experience in using AI/ML and other data science tools to enhance analytical results interpretation and workflow performance.

Desirable

  • A good understanding of the overall drug development process from discovery through to launch.
  • Experience of authoring dedicated Predictive Stability elements of drug product regulatory filings.
  • External industry presence in the field of Predictive Stability, including external conferences and working groups.
  • Experience of technical supervision, coaching and mentoring or leading colleagues and scientific projects.
  • Coding experience in Python, R, JMP, MATLAB or similar.
  • Machine learning experience.

Skills and capabilities

  • Scientific leadership skills, the ability to deliver robust scientific contributions to projects and demonstration of utilising risk-based approaches for successful delivery.
  • Ability to think and operate across boundaries, challenge the status quo and seek opportunities for business improvement.
  • Effective influencing and prioritisation skills to ensure project and strategic delivery.
  • Good communication and partner skills, able to discuss complex ideas in a simple, easy to understand manner.
  • Collaborative work ethic with the ability to work internally and externally across a wide range of partners.
  • Excellent problem-solving skills.

Why AstraZeneca?

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, and always committed to lifelong learning, growth and development. We’re on an exciting journey to pioneer the future of healthcare.

We work, on average, a minimum of three days per week from the office. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world and apply now!

We welcome your application no later than April 21st, 2026.

Date Posted

07-apr.-2026

Closing Date

18-apr.-2026

Our 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.

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorisation and employment eligibility verification requirements.

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