Cheminformatics specialist

Are you a Cheminformatics specialist with an interest in working closely with chemists and biologists in a hit identification environment? Would you like to make use of your informatics skills to provide expert advice and push the boundaries of science to make a change? If so, join our journey to develop and deliver novel medicines!

As our new Cheminformatics specialist you will be a part of the Hit Discovery department in Discovery Sciences. The role has a special focus on new technology development and application in the area of hit identification and automated chemistry and you will be based at AstraZeneca's R&D site either in Gothenburg, Sweden or Cambridge, UK.

Discovery Sciences is part of the global BioPharmaceuticals organisation and provides scientific support to early drug discovery across the global discovery portfolio. The Hit Discovery department is responsible for the discovery of novel chemical hits in four principal areas: High-throughput screening, Fragment-Based Lead Generation, DNA-encoded libraries, and Virtual Screening, augmented by automated chemistry and AI/machine learning.

What you'll do:
Key elements in the role as Cheminformatics specialist include the exploitation and adaptation of cheminformatics technology to support the work and the data handling of chemists and biologist in hit discovery and automated chemistry.

You will apply and adapt cheminformatics software and science in the fields of Automated Chemistry, HTS, DNA-encoded libraries and Virtual Screening to support compound and data handling, reaction informatics, analysis and learning from data. As well as devise, champion and develop the scientific area of Cheminformatics that aligns with the Automated Chemistry group and Hit Discovery department missions. You will provide expert advice and interpretation of complex data.

Essentials in the role:

* PhD in the area of Cheminformatics or Computational Chemistry with several years of experience combined with profound technical skills like computer programming and systems design, or a degree in Computer Sciences with demonstrated additional knowledge and experiences in a relevant area of science, as chemistry, physics, or biology.
* Demonstrated experience with a variety of software tools and technologies (e.g., Java, C++, Python/Ruby/Perl, SQL, or AWS).
* Experience within a research-based scientific computing environment.
* Experience of developing and maintaining relationships with 3rd party collaborators and software providers.
* Excellent knowledge of modern computational chemistry/computer science methods and algorithms and its use in drug hunting projects.

We also believe that our new colleague are a team player with the ability and enjoys to work in a multidisciplinary research matrix environment, providing scientific leadership and insights to the team.

Desirable in the role:

* Good understanding of how the drug discovery process functions within discovery and how computational methods contribute to and influence projects.
* Ability to identify new opportunities to impact and influence also outside own project responsibilities.

Why AstraZeneca?
Thrive in a place where the brightest and most curious minds seamlessly come together in our inclusive environment. Be part of a dedicated Research & Development team. Fuelled by our commitment to help more patients, strengthen our pipeline and grow our area.

So, what's next? If this sounds like the job and place for you to make a change - apply today!

We look forward to get to know you better. Please send your application to us no later than 16th August.

For more information about the position please contact hiring manager Jens Sadowski at +46 31 7762850.

Additional information:
Our Gothenburg site: https://www.astrazeneca.com/our-science/gothenburg.html
Our Cambridge site: https://www.astrazeneca.com/our-company/our-locations/cambridge.html
About BioPharmaceuticals R&D: https://www.astrazeneca.com/r-d.html

NOTE - Due to our summer vacation period during July-August, the screening process may take a bit longer than usual. Thanks for your understanding and we will get back to you as soon as possible when we are back at work.