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Arbetsbeskrivning
Do you have experience and expertise in mathematical modelling and simulation, PKPD and its application in drug development? Do you also share our passion to explore possibilities of science to change lives? If yes, your next challenge might be this role at AstraZeneca!
This is an opportunity for a talented and engaged individual to join our growing Clinical Pharmacology and Quantitative Pharmacology team at AstraZeneca in Gothenburg, Sweden and develop as a Clinical Pharmacometrician supporting large and small molecule projects across full development within the therapy area of Respiratory & Immunology.
AstraZeneca is a world-leading pharmaceutical company, we focus on discovering and developing medicines that make a real difference to millions of patients. Within the Clinical Pharmacology and Safety Sciences (CPSS) function, we have a state-of-the-art quantitative clinical pharmacology group with a diverse and uniquely skilled team of clinical pharmacometricians and clinical pharmacology scientists. Gothenburg is a key research and development location for our Respiratory & Immunology and Cardiovascular, Renal and Metabolic therapeutic areas.
Thrive in an energising environment where challenging work goes hand in hand with development. With opportunities, recognition and bright minds, there's no better place to unlock learning and build a long-term career.
What you'll do:
In this role you will work closely with clinical pharmacology scientists, physicians and other scientists and apply modelling to support the design and interpretation of clinical studies and influence key decisions in early and late clinical development. The work includes integration of relevant data, such as dose information, pharmacokinetics, biomarkers and clinical endpoints within and across studies, compounds and development stages. Supporting informative trial designs using simulations and efficient modelling statistics is an important focus area for us.
In collaboration with clinical pharmacology scientists, you'll represent Clinical Pharmacology and Quantitative Pharmacology and be responsible for identifying and executing modelling to support model informed drug development. You will communicate your findings to other scientists within and outside of AstraZeneca and publish them in peer reviewed journals.
Depending on your previous experience and competencies, the level and responsibility of the position can be adjusted and tailored to suit you.
Essential for the role:
* PhD or equivalent (M.Sc/Pharm.D.) level expertise in quantitative modelling , e.g. knowledge in mathematics and statistics applied to life sciences
* Working knowledge of pharmacokinetics and its clinical application
* Background and an understanding of clinical pharmacology aspects of drug development, preferably in both the small and large molecule setting
* Experience with PK/PD analysis and statistical (pharmacometric) tools such as Phoenix Winnonlin, Nonmem, R
* Biological understanding of disease and drug action
* Good oral and written communication skills
Desirable for the role:
* Recognized scientific expertise demonstrated by scientific publishing in the field of clinical pharmacology
* Early or late phase clinical development experience/awareness.
Why AstraZeneca?
We are a global, science-led BioPharmaceutical business and our innovative medicines are used by millions of patients worldwide. It drives us to work together as one global team to achieve our goals. A supportive place where all are encouraged and achievement is recognised. Strengthening our knowledge through constructive feedback and coaching, as well as collaborating with the best.
If this sounds like the job and workplace for you - apply today!
Welcome with your application, but no later than 23rd April, 2021.
For more information about the position, please reach out to hiring manager Philip Gardiner at philip.gardiner@astrazeneca.com.
Additional information:
Our Gothenburg site: https://www.astrazeneca.com/our-science/gothenburg.html
Life in Gothenburg: https://www.movetogothenburg.com/
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