Phase1, Computational Pharmacology Trainee
Orion Corporation

Alkuperäinen julkaisupäivä 2.1.2020

Description of position

We are looking for a Phase1 summer trainee to our Computational Pharmacology and Medicine Design team in Espoo. The Phase1 summer trainee will take part in research and method development projects going on in the unit. The Phase1 project can be tailored together and according to the interests and knowledge of the selected candidate. It could be for example molecular machine learning using open DeepChem/MoleculeNet platforms or Structure-Based Drug Design using Molecular Dynamics. The summer job is planned to start in May or June and last for about 3-4 months.

Description of unit

The Computational Pharmacology and Medicine Design team is part of the Global Medicine Design platform that supports all Orion's drug discovery programs. Key responsibilities of Medicine Design include structure design, synthesis design and organic synthesis.

Computational Pharmacology and Medicine Design is bridging the gap between bioinformatics, biophysics and chemistry using computational methods. Data analytics, modelling and simulations are used to gain structural and functional understanding of potential drug targets and their relevance in diseases. Understanding how different modulators act on the target and off-targets enables data-driven design and optimization to accelerate development of novel and better treatments for patients.

We offer

We offer you the opportunity to show your talent in one of the most innovative companies in Finland. We also offer you great colleagues and the opportunity to challenge yourself with interesting tasks. In addition to your own duties, you will get a comprehensive picture of all of Orion's activities and numerous different tasks we have.

Appreciation of colleagues and continuous development are part of our core values. Welcome to build well-being this summer!

Requirements

We are looking for a student with over 180 credit points from a suitable scientific/technical program. To succeed in this position, the candidate should have knowledge in e.g:

  • molecular modeling, e.g. MD simulations of drug-target complexes
  • chemometrics, machine learning
  • data visualization using e.g. Python/D3/JavaScript/Spotfire

Good spoken and written English skills are also required.

Please apply for the position by 9th February!

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