Who we are

AstraZeneca is a global, innovation-driven biopharmaceutical business that pushes the boundaries of science to deliver life-changing medicines to patients. We focus on predictive science to move the frontier of quantitative drug development where modeling and simulation (M&S) is proactively utilized and provide quantitative support to key questions and decisions.

The Quantitative Clinical Pharmacology teams in Sweden work in the therapy areas of RIA (Respiratory, Inflammation and Autoimmune diseases) and CVMD (Cardiovascular and Metabolic Disease). For these teams we are looking for talented and engaged Clinical Pharmacometricians (entry, senior and principal levels). We recognize the value of diversity and look for motivated individuals with modeling backgrounds in pharmacometrics, statistics or engineering. You have an opportunity to be part of our exciting journey.

The role

You will play a key role using a variety of innovative quantitative methods to provide modeling support for planning, interpretation and decision making in clinical development projects. This work includes integration of relevant data, such as dose information, pharmacokinetics, biomarkers and clinical endpoints within and across studies, compounds and development stages. Support to informative trial designs using simulations and efficient modeling statistics is an important focus area for us. An area to grow is systems pharmacology and mechanistic modeling approaches for more informative translation of disease and drug knowledge.

You will be expected to use M&S to influence study and program designs and decisions. You will also be writing and contributing to internal and regulatory submission documents related to pharmacometrics. We support and encourage external visibility including presenting at scientific meetings as well as publishing of our M&S contributions.

Qualifications

• Strong quantitative skills (e.g. experience in pharmacometrics, statistical modeling, mechanistic modeling/systems pharmacology, quantitative translational scaling, model-based meta-analyses).
• Experience in drug development including relevant applications of M&S
• Bachelor degree required with advanced degree preferred or equivalent relevant experience
• A clear demonstration of behaviors of
• Truth seeking rather than success seeking
• Agile responsiveness to scientific data
• Embracing of peer review as well as sharing of experiences and skills

More information

For more information about the position please contact: Ulf Eriksson at +46 31 7761690 or Bengt Hamrén at +46 31 7762201

Welcome with your application no later than June 1, 2015.

Unspecified