Lead, Digital Medicine Computing

Biogen SANDBOX • Cambridge, MA

7d

About The Position

Drug discovery continues to be transformed by powerful computational sciences and technologies that translate measurements into actionable knowledge about disease, patients and therapeutics. At Biogen, the Digital Medicine team is part of Biogen’s cross functional IT organization that provides scientists with cutting-edge computational informatics and analytics tools and services. The team collaborates closely with multiple business teams from R&D, PO&T and Medical on points of common interest. The team has technical depth, agility and great motivation to enable solving scientifically demanding problems. Biogen is seeking a Lead of Digital Medicine Computing to work at the interface of computer science, advanced analytics, Big Data to ensure that computing software architecture keeps up with the rate of innovation in research. The Lead of Computing will lead a team to architect, develop, deploy and maintain software 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. The Lead is a leader in the Research and Early Development organization and responsible for the compute, storage, and data engineering strategy. The Lead will work both hands-on and at a high level across the Centers of Excellence and with researchers, especially those who are importing and generating petabyte scale data, and who are building the next generation of compute applications, data processing pipelines for target identification, validation, drug discovery, and patient stratification. The ideal candidate will have scientific software engineering and high performance compute administrative experience and demonstrated expertise in both designing, leading and operationalizing high performance computing services and environments for applications in areas of genetics and genomics, cheminformatics, proteomics, image analysis, devices, wearables and related sources of data. In addition s/he is a team player who will work closely with experimental and computational biologists, statistical geneticists, and early development clinicians on projects across all parts of the organization and pipeline.

Requirements

• Relevant experience in creating and applying technologies to solve computationally intensive and data intensive in any of the following: bioinformatics, medical informatics, clinical informatics, distributed and high performance computing, large scale dat

Responsibilities

• Lead a small team of Computing engineers to 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
• Operationalize development projects into production quality tools in the existing research compute ecosystem for use by scientists
• Work closely with scientists to understand scientific challenges, data needs, business needs, technology and software requirements and in turn communicate internally and externally about 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”
• Develop relationships with key stakeholders and leaders across R&D to build a portfolio of services
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 1,001-5,000 employees