AstraZeneca, our predictive science initiative is enabling us to build
up modelling capacity right across R&D. As part of this initiative,
we're now looking for Computational Pharmaceutics Scientists to enhance
our modelling capacity. Join us, and you'll have a key role to play in
increasing the quality and speed of our work whilst minimising the costs
of pharmaceutical development. It will be down to you to exploit
mechanistic-based modelling, optimising the physical and material
properties through the value chain and predicting the clinical
performance of new drug delivery opportunities. It's a chance to optimise
the chemical route and manufacturing process of active compounds and the
final formulated products - so you'll have a direct impact on our success.
We have number of post-doc opportunities at both a senior level and
entry level. The senior positions could also be in the form of
a sabbatical. Based at our Moelndal site in Sweden or at our Macclesfield
site in England, the positions are for one year with a possibility for
extension into a second year.
As one of the world's leading pharmaceutical companies, our business is
focused on providing innovative, effective medicines that make a real
difference in important areas of healthcare. At AstraZeneca, innovation
is about more than just research. We aim to stimulate continued
creativity throughout our organisation by maintaining a culture in
which our people feel valued, energised and rewarded for their ideas
and contribution to our success - ideas which can make a difference in
all aspects of our business. And we support and encourage our people in
discovering their own potential, through excellent learning and
development opportunities that are available to them throughout their
careers.
As a Post-doc Computational Pharmaceutics Scientist your main
responsibilities will involve:
Working in a global network of modellers, focusing on four key areas:
material and stability design; route and API process design;
formulation, package, device and product process design;
and clinical performance design
Realising the modelling science roadmap in collaboration with
relevant internal science networks, as part of the Predictive Science
Implementation team
Helping to deliver training on predictive science to the broader
pharmaceutical development organisation
Integrating modelling work into everyday work, including the delivery
of modelling results to drug development projects
As a Post-doc Computational Pharmaceutics Scientist, your skills and
qualifications will ideally include:
For senior post-doc positions, a PhD in a relevant modelling area in
chemistry, physics, material science or process engineering and either
experience from the pharmaceutical industry or post-doc experience from
academia
For the entry level roles, a PhD in a relevant modelling area
Experience of using quantum chemistry, molecular dynamics/Monte-Carlo
simulations or fluid dynamics modelling, to investigate chemical
reactivity, phase transitions, dissolution and nucleation, mixing and
the processing of materials
What we will be looking for in you:
Excellent communication and influencing skills are essential,
as is a good team spirit.
Contact:
For more information contact Anders Broo, PhD,
Predictive Pharmaceutics Implementation Leader
+46 31 776 28 42 or +46 722 108177.
e-mail: anders.broo@astrazeneca.com
Welcome with your application no later than November 7, 2011.
Use the following link to submit your applicationhttp://astrazeneca.se/Career/Vacancies?itemId=10569089
Search for MOL000000PN as the job code.
AstraZeneca welcomes applications from all sections of the community
up modelling capacity right across R&D. As part of this initiative,
we're now looking for Computational Pharmaceutics Scientists to enhance
our modelling capacity. Join us, and you'll have a key role to play in
increasing the quality and speed of our work whilst minimising the costs
of pharmaceutical development. It will be down to you to exploit
mechanistic-based modelling, optimising the physical and material
properties through the value chain and predicting the clinical
performance of new drug delivery opportunities. It's a chance to optimise
the chemical route and manufacturing process of active compounds and the
final formulated products - so you'll have a direct impact on our success.
We have number of post-doc opportunities at both a senior level and
entry level. The senior positions could also be in the form of
a sabbatical. Based at our Moelndal site in Sweden or at our Macclesfield
site in England, the positions are for one year with a possibility for
extension into a second year.
As one of the world's leading pharmaceutical companies, our business is
focused on providing innovative, effective medicines that make a real
difference in important areas of healthcare. At AstraZeneca, innovation
is about more than just research. We aim to stimulate continued
creativity throughout our organisation by maintaining a culture in
which our people feel valued, energised and rewarded for their ideas
and contribution to our success - ideas which can make a difference in
all aspects of our business. And we support and encourage our people in
discovering their own potential, through excellent learning and
development opportunities that are available to them throughout their
careers.
As a Post-doc Computational Pharmaceutics Scientist your main
responsibilities will involve:
Working in a global network of modellers, focusing on four key areas:
material and stability design; route and API process design;
formulation, package, device and product process design;
and clinical performance design
Realising the modelling science roadmap in collaboration with
relevant internal science networks, as part of the Predictive Science
Implementation team
Helping to deliver training on predictive science to the broader
pharmaceutical development organisation
Integrating modelling work into everyday work, including the delivery
of modelling results to drug development projects
As a Post-doc Computational Pharmaceutics Scientist, your skills and
qualifications will ideally include:
For senior post-doc positions, a PhD in a relevant modelling area in
chemistry, physics, material science or process engineering and either
experience from the pharmaceutical industry or post-doc experience from
academia
For the entry level roles, a PhD in a relevant modelling area
Experience of using quantum chemistry, molecular dynamics/Monte-Carlo
simulations or fluid dynamics modelling, to investigate chemical
reactivity, phase transitions, dissolution and nucleation, mixing and
the processing of materials
What we will be looking for in you:
Excellent communication and influencing skills are essential,
as is a good team spirit.
Contact:
For more information contact Anders Broo, PhD,
Predictive Pharmaceutics Implementation Leader
+46 31 776 28 42 or +46 722 108177.
e-mail: anders.broo@astrazeneca.com
Welcome with your application no later than November 7, 2011.
Use the following link to submit your applicationhttp://astrazeneca.se/Career/Vacancies?itemId=10569089
Search for MOL000000PN as the job code.
AstraZeneca welcomes applications from all sections of the community
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