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BACKGROUND
Philip Morris International (PMI) is the leading international tobacco company, with seven of the world's top 15 brands, including the world's number one brand. PMI has more than 75,000 employees and its products are sold in approximately 160 countries. The Company held an estimated 15.6% share of the international cigarette market outside of the United States in 2008. PMI is an Equal Opportunity Employer. For more information, see http://www.pmintl.com.RESPONSIBILITIES
The primary mission of Philip Morris International Research & Development Center is to research and develop a next generation of products which may have the potential to reduce the risks of smoking. To strengthen our research team in Neuchâtel, Switzerland, we are looking for a: Scientist - Pathway Informatics.
The successful candidate will play a significant role in the processing and analysis of large scale data sets from various post genomic technologies and their applications in biomarker discovery. He/she will also have responsibility for establishing and maintaining analysis pipelines geared toward the identification of disease signature genes and pathways from experimental system response profiles. He/she will have the opportunity to apply and when necessary develop methods for systems wide analysis of gene expression patterns, their transcription factor and epigenetic control, and the role of small RNA’s in regulating gene/protein products.
Specifically, you will:
- Establish innovative computational analysis for identification of deregulated pathways in various disease states
- Provide analysis of large scale array based data (genomics, transcriptomics, protemics)
- Function as a member of a multidisciplinary team which executes scientifically and technically challenging projects
- Have a strong interest in collaborating with experimentalists to elucidate biological mechanisms
REQUIREMENTS
Education:
- PhD in bioinformatics or related field
- Academic or industrial experience in bioinformatics with focus on integrated analysis of biological systems (gene/protein expression data, array CGH, ChiP-chip)
- You are skilled in the application of computational biology tools and techniques with focus on novel algorithms for integrative omics analysis in cancer research
- You have demonstrated ability to manage and interpret large biological data sets
- Good programming skills in Perl, C/C++, or Java, you have also solid expertise in R/Bioconductor, or Matlab
- You have previous experience in Gene Regulatory Network reconstruction and pathway analysis
- You are a great team player with an excellent communication skills
- Fluency in English is a must
SALARY & COMPENSATION
We offer an excellent salary and benefits package as well as relocation allowance (where appropriate).HOW TO APPLY
If you match our profile and you are interested in joining this dynamic team of professionals, please reply to our on-line recruitment site http://www.pmicareers.com
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