Verily-posted 4 months ago
$134,000 - $190,000/Yr
Full-time • Mid Level
Boston, MA
1,001-5,000 employees
Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

Verily is a subsidiary of Alphabet that is using a data-driven approach to change the way people manage their health and the way healthcare is delivered. Launched from Google X in 2015, our purpose is to bring the promise of precision health to everyone, every day. We are focused on generating and activating data from a variety of sources, including clinical, social, behavioral and the real world, to arrive at the best solutions for a person based on a comprehensive view of the evidence. Our unique expertise and capabilities in technology, data science and healthcare enable the entire healthcare ecosystem to drive better health outcomes. The Workbench Solutions Engineering team engages with all levels of the biomedical research community, from the data stewards who want to share data to the research investigators and their technical teams who want to put data to work. We provide insights and best practices for organizing and managing access to data and work with data scientists to help accelerate their research. The Workbench team is impacting major projects, including NIH AllOfUs and AMP PD.

  • Analyze a customer's technical needs to provide recommendations for implementation and train customers and technical partners on how to use Workbench.
  • Work with customers to organize, harmonize, and securely share data on Google Cloud Platform and Amazon Web Services, and connect their internal data, tools, and processes to Workbench.
  • Build batch workflows and interactive analysis notebooks to process and analyze data at scale.
  • Improve product feature offerings by providing feedback to internal cross-functional teams including Product Management, User Experience, and Engineering.
  • Support Product and Sales teams, working directly with prospects and partners, to plan and implement both pilot and production projects.
  • BA/BS degree in Computer Science or a related technical field or equivalent practical experience.
  • 6+ years of experience working with one or more of the following programming languages: Python and/or Java, and the ability to write SQL queries of modest complexity.
  • Demonstrated creative problem-solving approach and strong analytical skills, combined with a strong sense of ownership, and a proactive can-do attitude.
  • Experience working with life science or biomedical research data, running batch workflows or analytical statistical analyses.
  • Excellent communication and project management skills, with a track record of handling multiple customers and streams of work.
  • Experience installing common packaged software on Linux.
  • Experience with public cloud services such as Google Cloud Platform, Amazon Web Services and/or Microsoft Azure.
  • Experience building and deploying Docker images.
  • Enthusiastic about leveraging technology to drive collaboration, innovation, and meaningful progress in biomedical research and human health.
  • 401k
  • health insurance
  • dental insurance
  • vision insurance
  • life insurance
  • disability insurance
  • paid holidays
  • paid volunteer time
  • tuition reimbursement
  • professional development
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