
YOU are highly motivated and committed to delivering top-quality work. You encourage collaboration and enjoy working as part of a dynamic team.
You are a passionate individual who likes working in creative international work environments.
THE OPPORTUNITY
The successful candidate will join the Computational Science & Bioinformatics (CS&B) team of Philip Morris Products S.A. in Neuchâtel, Switzerland. You will play a major role in the analysis of large-scale data sets from various post-genomic technologies and their applications in biomarker discovery. Using newly developed software tools, you will study systems biology datasets to discover biological networks that differentiate normal and diseased states. Your scientific background and ability to critically review biological facts will be essential to developing a coherent synthesis of the biology being modeled. business grants
Specifically, you will:
QUALIFICATIONS
WHAT WE OFFER
You will be part of the PMI Research & Development Department, whose primary mission is to research and develop new products which may have the potential to reduce the risks of tobacco-related diseases.
You will benefit from our dynamic team of professionals, working in a multicultural environment.
We offer an excellent salary and benefits package as well as relocation allowance (where appropriate).
WHO WE ARE
Philip Morris International Inc. (PMI) is the leading international tobacco company, with seven of the world’s top 15 brands, including the number one cigarette brand worldwide. PMI’s products are sold in approximately 160 countries. In 2009, the company held an estimated 15.4% share of the total international cigarette market outside of the U.S., or 26.0% excluding the People’s Republic of China and the U.S. For more information,
Want to discover your potential? Come join our team!
If you match our profile and you are interested in joining our dynamic team of professionals, please reply online.
A valid Swiss work permit or Swiss or EU citizenship is required for this position.
Tags: Bioinformatics, Biology, Computational biology, Genomics
