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Postdoc Fellow: Disease Modelling in NAFLD/NASH

Location Gothenburg, Västra Götaland County, Sweden Job ID R-145077 Date posted 03/08/2022

Postdoc Fellow: Disease Modelling in NAFLD/NASH

Location: Gothenburg, Sweden

Are you curious to find out more about how mathematical modelling can help shape drug development? Would you like to explore how disease modelling in non-alcoholic steatohepatitis (NASH) will improve the design and development of future clinical trials? Then don’t miss out on this postdoc opportunity at AstraZeneca.

About AstraZeneca:

AstraZeneca is a global, science-led, patient-centred biopharmaceutical company that focuses on the discovery, development, and commercialization of prescription medicines for some of the world’s most serious diseases. But we’re more than one of the world’s leading pharmaceutical companies. At AstraZeneca, we 're dedicated to being a Great Place to Work where you are empowered to push the boundaries of science and fuel your entrepreneurial spirit. There’s no better place to make a difference to medicine, patients, and society.

About the Postdoc Programme:

Bring your expertise, apply your knowledge, follow the science, and make a difference.

AstraZeneca’s Postdoc Programme is looking for self-motivated individuals eager to tackle exciting, high impact projects in a collaborative, engaging and innovative environment. As a Postdoc Fellow at AstraZeneca, you will be part of a group of passionate researchers who are dedicated to innovation and the advancement of science. You’ll work with peers and professionals from a diverse group of backgrounds, and a world class academic mentor specifically aligned to your project. You will be empowered to share your findings at research conferences and in publications, and establish valuable networks which support your research and future career development!

Our Postdoc Programme will also support you to further develop your skills as a scientist.

About the Team:

In this postdoc position you’ll join our clinical pharmacology and quantitative pharmacology cardiovascular, renal and metabolism (CPQP CVRM) team. In CPQP our focus is on determining the optimal dose of medicine our patients should receive, based on efficacious disease treatment and patient safety. Using modelling tools, we integrate available clinical and non-clinical data to quantitatively support decision making during drug development.

CPQP is part of the larger clinical pharmacology and safety sciences (CPSS) organisation at AstraZeneca. CPSS is a collaborative, global R&D department with colleagues based in the UK, US & Sweden who bring together capabilities and expertise in Drug Safety, Regulatory Safety, Pathology, Clinical Pharmacology, Quantitative Systems Pharmacology and Animal Sciences. CPSS supports all AstraZeneca therapy areas from early stage to late stage drug discovery.

About the Opportunity:

In this exciting Postdoc position you’ll improve the design and evaluation of future clinical NAFLD/NASH trials by developing a framework to predict NAFLD/NASH disease progression using external clinical cohorts, pharmacometric methodology and fit-for-purpose machine learning techniques.

You’ll join a wide network of experts in the fields of NASH, mathematical modelling and clinical development. You’ll benefit from a unique selection of clinical longitudinal non-alcoholic fatty liver disease (NAFLD) cohorts and build upon mathematical models already developed in house.

This is a novel and innovative research project supported by two partnering functions within AstraZeneca R&D, and also guided by renowned academic experts in the field of NAFLD/NASH. The nature of this project also means that you can expect broad exposure to other functions involved in the drug development process. This unique opportunity will therefore provide you with an overview of how strategic directions are set and how decisions are made and influenced by clinical pharmacology and quantitative pharmacology during drug development.

The network of internal and external experts will help you to publish high impact publications and develop your research reputation. You may also get the opportunity to mentor more junior researchers.

Qualification, Skills & Experience


  • PhD in Applied Mathematics, Statistics, Pharmacometrics or a related field
  • Programming experience within R/Matlab
  • Experience with applied statistical modelling
  • Excellent communication and collaboration skills
  • Curious and passionate about using quantitative methods to advance medicine


  • Hands-on experience of working with biological or clinical data
  • Experience in longitudinal, mixed effects and/or Markov modelling
  • Scientific excellence as shown by previous work, publication list or references from scientific mentors
  • Prior understanding of the drug-development process

Apply today!

Advert Opens: 4th August, 2022

Advert Closes: 11th September, 2022

50056739 C SCGE R&D BioPharmaceuticals

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