Modelling and Simulation Opportunity at AstraZeneca (Oncology)
http://jobs.astrazeneca.com/jobs/22359-associateprincipal-scientist-pkpd-modelling-amp-simulation-oncology
At AstraZeneca, our aim is to tackle illness and disease as effectively as
possible. Through our R&D pipeline of life-changing medicines, we’re able to
offer hope to millions around the world. And innovation is essential to our
job. Our strategy includes a substantial application of Predictive Sciences,
which help us to deliver drugs that tackle illness and disease even more
effectively. The model-based approach is applied to the whole drug development
process, and this includes providing Modelling & Simulation to deliver a
quantitative understanding of the biological hypothesis of drug action on
disease target. A pre-clinical quantitative pharmacology understanding
underpins our human predictions of dose, dose schedule and therapeutic index
and these predictions are critical to drug projects.
The Oncology Innovative Medicines unit (iMED) has an exciting opportunity for
an experienced Modelling & Simulation (M&S) scientist to join a vibrant global
team. The individual will be embedded into the Oncology research group, working
closely with scientists in Biology, Translation, Safety and other modellers.
The successful candidate will have excellent problem solving, organizational
and documentation skills, and strong oral and written communication skills.
This role requires the ability to thrive in a team-based, multidisciplinary,
fast-paced research environment.
Minimum Requirements - Education and Experience
▪ PhD or equivalent degree in a discipline with a significant component
of Modeling & Simulation, such as systems biology, quantitative pharmacology,
pharmacometrics, chemical engineering, physics, or applied mathematics, with at
least 5 years of relevant industry experience in Modelling & Simulation,
ideally in preclinical/translational setting, or an MS degree with at least 10
years of relevant industry experience.
▪ Experience in project-facing role at pharmaceutical R&D.
▪ Comprehensive understanding of DMPK and pharmacology/safety aspects of
drug discovery and development.
▪ Track record of supporting PK, PKPD and TKPD aspects of projects, with
a delivery focus and ability to meet timelines to pre-specified quality and
cost.
▪ Specialist in tools such as WinNonLin/Phoenix NLME, NonMem, Berkeley
Madonna, MATLAB, and SimCYP.
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