Job Description:
The Head of Scientific Computing will lead a team to architect, develop, deploy and maintain software products and services, and 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. The Head will work closely with experimental and computational biologists, statistical geneticists, and early development clinicians on projects across all parts of the organization and pipeline. In addition, the Head will carry out initiatives to enable adding of value through use of artificial intelligence and machine learning methods in translational science. Responsibilities:
Additional Info:
At Biogen, the Scientific Computing team is part of Biogen’s Translational Biology organization in R&D which is responsible for developing, introducing and maintaining cutting-edge informatics and analytics software systems, tools and services for research and drug development from preclinical to PhII. The team has great technical depth in all matters of computation that relate to the science of target validation, drug discovery, and patient selection. The team works closely with scientists and the R&D IT organization in an agile mode and is greatly motivated to enable solving scientifically demanding problems. [Click Here to Access the Original Job Post]
The Head of Scientific Computing will lead a team to architect, develop, deploy and maintain software products and services, and 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. The Head will work closely with experimental and computational biologists, statistical geneticists, and early development clinicians on projects across all parts of the organization and pipeline. In addition, the Head will carry out initiatives to enable adding of value through use of artificial intelligence and machine learning methods in translational science. Responsibilities:
- Lead a small team of Scientific Computing engineers to prototype and execute scientific software development projects against needs and requirements comprising world-class data processing, QC and data management platforms for large-scale sequencing and imaging data.
- Develop relationships with key stakeholders to understand scientific challenges, data needs, business needs, technology and software requirements and in turn communicate internally and externally about Scientific Computing
- Define and develop a strategy for the systems and services that meet the needs of stakeholders and manage daily service across a continuum from “self-serve” to “dedicated support”
- Operationalize development projects into production quality tools in the existing research compute ecosystem for use by scientists
- Stay up-to-date and be familiar with new high performance computing technologies and anticipate and exploit use of new technologies that impact decision making in drug discovery
- Lead evaluation, selection of, and work with outside vendors to design and implement solutions, as well as integrate them into internal pipelines.
- Work closely with IT infrastructure to maintain Biogen's quality and scale of compute and storage infrastructure.
- Foster and commit to a team culture of continuous improvement, responsiveness, agility and technical excellence
- Experience in delivering enterprise-level scientific software and architecture solutions for solving cutting-edge scientific problems involving petabyte scale data and analytics.
- Leadership in data sciences and solid understanding of biomedical and chemical data.
- Strong ability to work in a matrixed environment, interfacing with scientists and RDIT to advocate for scientific computing and build internal alliances with partners and stakeholders.
- Experience with large, complex, heterogenous, unstructured multivariate data sets.
- Excellent communications skills and experience leading a team and working as a member of a team in a matrixed environment
- Extensive knowledge of large scale biological data and methods of management, e.g. NGS, semantic data, imaging, data aggregation, data-marting, data virtualization, relational databases, object stores, column stores, triple stores, graph stores, document stores, storage resource broker/SRB, iRODs
- Experience with high performance computing and storage such as distributed computing systems (e.g. SGE, LSF, PBS, Hadoop, Opengrid, Spark), cloud computing (e.g. AWS, Google Cloud), vendor platforms (e.g. EMC)
- BS (required), MS/PhD (preferred) in computer sciences, information sciences, or a quantitative discipline such as computational biology, systems biology, computational chemistry or physics.
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Additional Info:
At Biogen, the Scientific Computing team is part of Biogen’s Translational Biology organization in R&D which is responsible for developing, introducing and maintaining cutting-edge informatics and analytics software systems, tools and services for research and drug development from preclinical to PhII. The team has great technical depth in all matters of computation that relate to the science of target validation, drug discovery, and patient selection. The team works closely with scientists and the R&D IT organization in an agile mode and is greatly motivated to enable solving scientifically demanding problems. [Click Here to Access the Original Job Post]