Job Company: Biogen
We are seeking a talented computational and systems biologist or quantitative scientist to carry out the mission of using and developing cutting-edge quantitative methods to advance discovery in the therapeutic sciences. Pharmaceutical R&D is increasingly dependent on algorithms to integrate and analyze large data sets in areas such as genomics, imaging, epigenomics, proteomics, and clinical phenotypes. [More]
The Scientist I, Analytical Technology, will lead the development and implementation of new methods that utilize Next Generation Sequencing (NGS) technology and real-time PCR in a cGMP laboratory environment. The successful candidate will engage across the broader organization to further develop the road map for implementing new molecular technologies such as NGS into the control strategy for biologics and gene therapy. [More]
The focus of this position will be to develop high quality, robust and efficient bioinformatics workflows for analyzing amplicon and vector sequencing data for the characterization of CRISPR-engineered mouse and cell line models and gene therapy vectors (e.g., AAV). Specifically, several bioinformatics tools and scripts will be integrated into a single framework which will allow scientists in the Next Generation Sequencing lab... [More]
Biogen is seeking a Senior IT Developer/Engineer to join the Scientific Computing team. The ideal candidate will prototype and execute scientific software development projects against needs and requirements comprising world-class data processing, QC and management platforms such as the NGS data generation and processing pipeline. [More]
Biogen is seeking a Head of Scientific Computing to work at the interface of computer science, genomics and computational and systems biology to ensure that computing architecture keeps up with the rate of innovation in genomics and proteomics sciences. he Head of Scientific Computing will lead a team to architect, develop, deploy and maintain products and services, and most importantly, define a vision of innovation that delivers value while solving challenging problems and meeting business needs through application of Biogen R&D’s high performance computing and data resources. [More]
The statistical genetics group is looking for a highly-skilled candidate who is eager to learn and apply the most novel methods of statistical genetics and machine learning on very large scale genetic data. The successful candidate will participate on the statistical design and analysis of human genetic studies with an emphasis on genome-wide association studies of phenotypes with > 500,000 previously unpublished samples. [More]
We are searching for a highly collaborative individual to join a team of scientists focused on testing and translating human genetic discoveries into testable therapeutic hypotheses. We seek a human geneticist, biostatistician or genetic epidemiologist who is well-versed in analyzing human genetic data (DNA) of complex phenotypes. The successful candidate will participate on the statistical design and analysis of human genetic studies with an emphasis on next generation sequencing and genome-wide association studies. [More]
We are looking for a graduate-level co-op students in the area of bioinformatics and systems biology. In this position, the co-op will work side-by-side with Biogen Computational Biology and Therapeutic Area scientists to analyze large scale genomic and phenotypic data sets, leveraging computational, mathematical, and statistical approaches to address important scientific issues in novel therapeutic target discovery. The co-op will have the opportunity to watch the drug discovery process in action, and to contribute towards Biogen’s efforts to discover novel therapies for neurodegenerative and hematological diseases. [More]
Description We are searching for a highly collaborative individual to join a team of scientists focused on testing and translating human genetic discoveries into testable therapeutic hypotheses. We seek a human geneticist, biostatistician or genetic epidemiologist who is well-versed in analyzing human genetic data (DNA) of complex phenotypes. The successful candidate will participate on the statistical design and analysis of human genetic studies with an emphasis on next generation sequencing and genome-wide association studies. [More]
Supporting ad hoc requests for data mining and analysis to aid hypothesis generation for network participants....From Biogen - Wed, 31 Aug 2016 17:23:15 GMT - View all Cambridge jobs [More]