Computational Chemist with experience in Molecular Dynamics

AstraZeneca AB / Kemistjobb / Göteborg
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Are you a skilled molecular dynamics expert with a desire to apply your skills to computer-aided drug design? Can you imagine yourself contributing to research on life changing science? Then join the team unlocking the power of what science can do!

We are looking for a new colleague to join our Molecular AI department. This is an excellent opportunity to combine your scientific experience with your high ambition and enthusiasm to influence the development of AstraZeneca's future in applying your skills to drug discovery projects. The preferred location for this position is Gothenburg (Sweden) but Cambridge (UK) can be considered.

What you will do
You will have a profound impact on multiple projects across AstraZeneca with a focus on applying molecular dynamics to discover new drugs. This will involve:

* Develop novel methodologies for addressing the need to validate physics-based hypotheses for binding free energy calculations
* Design and optimize absolute free energy workflows to support projects in their search for truly novel chemical entities
* Apply a variety of computer-aided drug design approaches to support drug development projects
* Work closely with synthetic chemists with primary focus on the in house proprietary de novo design platform and support them with providing modelling and in silico predictions
* Plan, write and publish high quality scientific papers
* Actively participate in mentoring the cohort of postdocs, PhD students and master thesis students in the team

Essential for the role
We believe that you have a true passion for molecular dynamics and drug design. You have a PhD or equivalent in chemistry, computer science or another similar discipline - ideally complemented by experience from molecule design in drug discovery projects. We also expect you to have a collaborative nature as well as;

* Experience with molecular dynamics simulations in an industry setting or at a leading academic institution
* In-depth scientific knowledge in computational chemistry - demonstrated by track record of project deliveries, publications and external presentations
* Excellent written and verbal communication skills
* Good understanding of binding free energy calculations and statistical thermodynamics
* Basic coding skills, preferably in Python

Desirable for the role

* Good understanding of force field development and evaluation
* General understanding of machine learning techniques used for predictive modelling

Why AstraZeneca?
At AstraZeneca we'll make the most of your skills and passion by actively supporting you. To do this, we've built an extraordinary international working environment with outstanding opportunities for collaboration, innovation, and personal growth. If you're encouraged to make a difference and ready to discover what you can do - join us.

So, what's next! Does this sound like your next challenge? Apply today!

For more information about the role please contact Atanas Patronov (https://www.linkedin.com/in/atanas-patronov-0245ab20/) and Ola Engkvist (https://www.linkedin.com/in/ola-engkvist-8a23947/).

We look forward to find out more about you. Send in your application as soon as possible, but no later than March, 2nd 2022.

Where can I find out more?

Life at AstraZeneca: https://careers.astrazeneca.com/life-at-astrazeneca
Relocate to Gothenburg site: https://www.astrazeneca.se/om-oss/verksamheten-i-sverige/goteborg/relocate-to-gothenburg.html
Inclusion & Diversity at AstraZeneca: https://careers.astrazeneca.com/inclusion-diversity

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Varaktighet, arbetstid
Heltid Permanent

Publiceringsdatum
2022-02-02

Ersättning
Not Specified

Så ansöker du
Sista dag att ansöka är 2022-03-02
Klicka på denna länk för att göra din ansökan

Företag
Astrazeneca AB

Arbetsgivarens referens
Arbetsgivarens referens för detta jobb är "R-129682".

Omfattning
Detta är ett heltidsjobb.

Arbetsgivare
Astrazeneca AB (org.nr 556011-7482)

Arbetsplats
AstraZeneca

Jobbnummer
6305968

Observera att sista ansökningsdag har passerat.

Computational Chemist with experience in Molecular Dynamics

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