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AstraZeneca

Senior Scientist Digital Biopharmaceutics

AstraZeneca is hiring a Senior Scientist Digital Biopharmaceutics in Gothenburg, Sweden. Level rates it ; you can apply on Level.

AI in this role

Senior Scientist in Digital Biopharmaceutics applying modelling, simulation, and digital strategies to guide drug development and formulation.

pbpkpbbm
modellingsimulationbiopharmaceuticspredictive-science

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. Always committed to lifelong learning, growth and development.


Join AstraZeneca’s Biopharmaceutics group to accelerate the development of medicines for patients through modelling, simulation and digital innovation. This is an opportunity to work at the intersection of biopharmaceutics, predictive science and drug-product development in a collaborative, science-led environment. 


About the Role 

We are seeking a Senior Scientist to shape and deliver digital-first biopharmaceutics strategies across drug projects. You will act as a key partner to cross-functional teams, applying model-informed approaches to guide formulation development, bridging strategies, regulatory decisions and the design of in-vitro characterisation programmes.  


You will combine strong expertise in biopharmaceutics with scientific curiosity and a practical understanding of modelling and simulation. You will translate complex evidence into clear recommendations, champion robust predictive approaches and help embed reusable digital methodologies that improve decisions across the drug-development lifecycle. 

 

Key Responsibilities 

Strategic Project Leadership 

  • Define the biopharmaceutics strategy for assigned projects, with a strong emphasis on digital and model-informed approaches to guide formulation, bridging, and regulatory strategies. 
  • Champion the use of AstraZeneca's biopharmaceutics toolbox, particularly digital capabilities, to enable projects to save time, cost, and resources. 
  • Contribute to project plans by defining biopharmaceutics deliverables, milestones, and resource needs, working closely with project managers and unit leads to ensure efficient FTE allocation. 
  • Support the continuous improvement of unit ways of working, embedding new digital methodologies into standard practice. 

 

Digital Biopharmaceutics, Modelling & Simulation 

  • Apply and advance physiologically based biopharmaceutics modelling (PBBM), PBPK, and other in silico techniques to predict drug behaviour, optimise dosage regimens, and inform formulation and regulatory strategies. 
  • Build mechanistic understanding of in-vivo dissolution, absorption, or injection/aerosol performance to guide the selection of in-vitro characterisation tools and interpret drug product performance data. 
  • Work proactively to eliminate or minimise in-vivo studies as appropriate through robust, model-based justifications. 
  • Stay at the forefront of emerging digital methods, including machine learning, AI-driven predictive tools, and next-generation simulation platforms, and use project insights to guide science & technology (S&T) investment towards high-impact capability gaps. 

 

Communication & Stakeholder Engagement 

  • Engage effectively with project teams, unit leads, internal stakeholders, and external partners, presenting findings and championing the digital biopharmaceutics strategy. 
  • Clearly communicate and document risks, strategies, mitigations, and recommendations. 

 

Documentation, Reporting & Regulatory Contribution 

  • Ensure contemporaneous documentation of strategies, modelling work, and experimental results in electronic lab notebooks to capture project thinking and decision-making. 
  • Deliver internal and regulatory document authoring to agreed quality and timelines. 
  • Stay abreast of evolving regulatory expectations around model-informed drug development and biopharmaceutics, ensuring compliance with global guidelines and standards. 

 

 Essential Requirements:  

  • PhD (or MSc with substantial industry experience) in Pharmaceutical Sciences, Biopharmaceutics, Chemical Engineering, Pharmacokinetics, or a related subject area. 
  • Proficiency in scripting or programming (e.g., Python, R) for data analysis and model automation. 
  • Demonstrable expertise in biopharmaceutics modelling and simulation (e.g., GastroPlus, Simcyp, PK-Sim, or equivalent). 
  • Strong understanding of drug product performance, dissolution science, and in-vivo predictive dissolution testing (IVIVC/IVIVR). 
  • Excellent cross-functional collaboration and communication skills, with the ability to influence project strategy. 

Desirable Requirements

  • Experience with AI/ML applications in pharmaceutical development. 
  • Track record of peer-reviewed publications or conference contributions in digital biopharmaceutics. 
  • Experience across multiple dosage forms (oral solids, parenteral, long-acting injectables, inhaled, etc.). 

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. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. 


Are you ready to bring new ideas and fresh thinking to the table? Great! We welcome your application no later than 14 October 2026!

Date Posted

02-okt.-2026

Closing Date

13-okt.-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.

How we rate this

Senior Scientist Digital Biopharmaceutics at AstraZeneca rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

ModellingSimulationBiopharmaceuticsPredictive SciencePbpkPbbm

Questions you could be asked

  1. Tell me about a project where modelling was part of your work. What did you do?
  2. Tell me about a project where simulation was part of your work. What did you do?
  3. Tell me about a project where biopharmaceutics was part of your work. What did you do?
  4. Tell me about a project where predictive science was part of your work. What did you do?
  5. Walk me through how you've used Pbpk in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Modelling, Simulation, Biopharmaceutics, Predictive Science, and Pbpk. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.

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