Orion Corporation operates in more than 20 countries, where we Orionees, 3200 in total, work in all kinds of positions. Among us there are Research Scientists, Laboratory Technicians, Engineers and IT Specialists as well as people working in Production, just to mention some examples. We offer diverse and responsible jobs to our personnel in a truly multi-disciplinary work environment. We encourage people to develop their competences and offer opportunities to affect the job description and creating their own career path at Orion. We are searching for top talents who are ready to share our passion for the work that we do.

Orion's pharmaceutical innovations are created within its R&D organization, including e.g. non-clinical research, clinical development, formulation development and medical affairs. The organization employs top professionals in the field of drug molecule development and optimization.

Global Medicine Design contributes to the drug discovery process of Orion R&D from target validation all the way to the candidate nomination. We are responsible for translating new drug targets to the small molecule therapeutics together with other line functions. Our scientist in biology and chemistry are key players of the DMTA cycle of multiple research programs driven by Orion's three therapy areas; CNS, Oncology and Rare Diseases. You will be part of Drug Discovery and Radiolabeling group with other synthetic medicinal chemists.

Job Description

In the future of R&D at Orion Pharma the number and diversity of discovery projects in our core therapy areas Oncology, Neurodegeneration and Pain will grow. The role of computational methods in driving the discovery projects optimally forward will also continue to grow. To strengthen our capabilities in Computational Parmacology and Medicine Design for we are now looking for a new Computational Scientist with experience in Drug Discovery.

As Computational Research Scientist your primary responsibility will be driving initial discovery strategies and projects forward. In practice, typical tasks will include

• protein modelling, analyzing protein structures, structural bioinformatics
• bridging experimental assay data, structural information and computational models
• analysis and optimization of protein-protein and protein-ligand interactions
• phage display library design, analysis of hits
• rational protein design and optimization (stability, aggregation, antibody humanization, affinity maturation, etc.)
• data mining and machine learning using biological, pharmacological & chemical databases
• performing druggability and technical feasibility analysis of novel drug targets

You will be working with diverse types of projects, and participate in brainstorming modulation strategies for novel targets.

We offer

The position offers exciting and challenging opportunity for cross-scientific collaboration and opportunity to work with highly motivated people in pharmaceutical industry in versatile projects building key capabilities for the future of Orion. Constant development and appreciation of personnel are part of our core values and we can offer attractive career development opportunities. Working with diverse projects and methodologies in three therapy areas provides plenty of opportunities for personal learning and growth. The culture of Orion R&D is informal and we enjoy working together.

Join us - together we build well-being and do work that we are proud of! More info about us: Orion

Preferably your location will be in Espoo, Finland, however Nottingham, UK can be also considered. If moving to Finland, please check the areas where Finland is considered a leader in the world by copying this link to your web browser http://www.huffingtonpost.com/ira-kalb/finland-is-still-the-worl_b_10774930.html

Job Requirements

Ph.D. from a suitable field, applying computational methods to e.g. (bio)chemistry, bioorganic chemistry, chemical biology or biophysics

Two years of post-doctoral, preferably industrial experience in drug discovery

Solid experience in one or more of the following:

- modelling of drug target proteins and/or antibodies, protein-protein interactions and epitopes

- applying molecular dynamics simulations of biomolecules to drug discovery

- applying machine learning and data mining to support drug discovery efforts

- structural bioinformatics and knowledge of common bioinformatics databases and workflows

Knowledge of Schrödinger modelling software, data pipelining tools (e.g. Knime) and programming/scripting/data analysis/data visualization (e.g. Python/R) is desirable.

General Requirements

We expect from all scientists the ability to work both independently and in a multidisciplinary team of medicinal chemists, modellers, pharmacologists, biologists and external collaborators. Excellent collaboration skills and oral and written communication skills in English are a must.

Please apply by Feb 2nd. If you have any questions, please contact Julius Sipilä (Head of Computational Pharmacology and Medicine Design), tel. +358 50 966 2605, preferably on Wed 15th, Wed 22nd or Wed 29th January at 15:30-16:30 (Helsinki Time).