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Novartis Institutes for BioMedical Research is Novartis' global research organization and is committed to discovering innovative medicines that cure disease and improve human health. By conducting more relevant and predictable drug discovery that can yield new and better medicines for patients, Novartis Institutes for BioMedical Research is redefining drug discovery in the post-genomic era.
Over the past four years, Novartis Pharmaceuticals has had the greatest number of new molecular entities approved by the US FDA. With its broad focus on diseases for which there is a need for better medical therapies, and with over 3,000 talented, dedicated research scientists worldwide, Novartis Institutes for BioMedical Research is well-positioned to ensure Novartis maintains its strong pipeline and highly successful track record in new drug discovery.
Novartis Institutes has sites in Cambridge, Massachusetts (headquarters); Basel, Switzerland; Horsham, UK; East Hanover, NJ; Vienna, Austria; Tsukuba, Japan and Emeryville, California. Novartis Institutes' Cambridge facilities encompass 950,000 square feet of laboratory and office space. Research in cardiovascular disease, oncology, infectious disease, diabetes, ophthalmology and muscle disease is headquartered in Cambridge. In addition, Cambridge is home to the following platform technologies: Global Discovery Chemistry, Functional Genomics, Developmental & Molecular Pathways, and Models of Disease Center.
In order to attract and develop an exceptionally talented and committed staff, Novartis Institutes for BioMedical Research offers an innovative and comprehensive benefits package, including healthcare, insurance, savings, retirement, and work/life benefits.
We are looking for an experienced bioinformatics scientist to join a team dedicated to oncology drug development. The candidate will work on a multidisciplinary team and will be responsible for executing a wide range of computational and analytical tasks, including automation of sequence analysis and expression analysis tasks, assistance in the development of novel algorithms for the analysis of genomic data, and the integration of publicly or commercially available pathway data with novel experimental data. Qualifications M.S. or higher in bioinformatics, computational biology, or a related field with 3-5 years experience in bioinformatics are required. Breadth of bioinformatics experience is preferred. Fluency in Perl and SQL, and experience with software engineering and design in a UNIX environment are required. Fluency in Java and R are strongly preferred, as are a basic working knowledge of pathway biology and statistics. The successful candidate will have a proven track record of teamwork and the ability to handle multiple tasks effectively. As the candidate would be part of a multidisciplinary team, strong communication skills are essential.