Technical Solutions Engineer, Workbench

Position: Technical Solutions Engineer, Verily Workbench
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** Who We Are
** 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.#
** Description
* * Verily’s  software provides a secure collaborative environment for data generators, research and biopharma organizations to govern and analyze their data. The platform is part of , an end-to-end suite of solutions that power the evidence generation needed to make safe, effective therapies available faster to those who need them.

Workbench incorporates technology and best practices developed through years of building data infrastructure for large research initiatives such as the National Institutes of Health’s , the  program, and the . See the  support documentation for a summary of features, integrations, and technical details.

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  and .#
** Responsibilities
* ** 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  and , 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.#
** Qualifications
* * Minimum Qualifications
* BA/BS degree in Computer Science or a related technical field or equivalent practical experience.
* 3+ 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.
* Passion for using technology to advance biomedical insights and human health.
* Excellent communication and project management skills, with a track record of handling multiple customers and streams of work.

Preferred Qualifications
* Knowledge of public cloud services such as Google Cloud Platform, Amazon Web Services and/or Microsoft Azure.
* Familiarity with life science or biomedical research data, running batch workflows or analytical statistical analyses.
* Experience installing common packaged software on Linux.
* Experience building and deploying Docker images.

Qualified applicants must not require employer sponsored work authorization now or in the future for employment in the United States.

The US base salary range for this full-time position is $111,000 - $157,000 + bonus + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

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