Genzyme has pioneered the development and delivery of transformative therapies for patients affected by rare and debilitating diseases for over 30 years. We accomplish our goals through world-class research, collaboration with the global patient community, and with the compassion and commitment of our employees. With a focus on rare diseases and multiple sclerosis, we are dedicated to making a positive impact on the lives of the patients and families we serve. Genzyme's portfolio of transformative therapies, which are marketed in countries around the world, represent ground breaking and life-saving advances in medicine. As a Sanofi company, Genzyme benefits from the reach and resources of one of the world's largest pharmaceutical companies, with a shared commitment to improving the lives of patients. Learn more at www.genzyme.com.
The Science Computing Group in the Genzyme R&D Center seeks a highly motivated individual to work in a dynamic and cross-functional team supporting genomics and informatics research. You will work in partnership with scientific colleagues in functional genomics and disease biology groups throughout Genzyme. Main responsibilities are to introduce and develop computational methodologies and approaches necessary to support leading edge genomic research. You will work with researchers to design and perform in-depth statistical and quantitative analysis of genomics data, especially in the next generation sequencing area. As the computational specialist on project teams, you will be expected to effectively communicate analytical results with internal project collaborators through both presentations and one-on-one interactions. Additionally, you will participate in defining and supporting computational infrastructure within the group.
Ph.D. degree in bioinformatics, biological sciences, biostatistics or computational biology and 1-2 years of research experience in bioinformatics/genomic research. Experience must include analyzing next generation sequencing data or microarray data and expert use of relevant software.
Knowledge of PERL, Python, JAVA, Spotfire, Pipeline Pilot, Matlab, SAS, JMP desired.
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