Verily Health is a data platform and technology company purpose-built to power AI-enabled precision health solutions that accelerate research and improve care for individuals and communities. Uniquely positioned at the intersection of technology, data science, and healthcare, Verily transforms multimodal health data into insights, models, and actions that make healthcare more personalized, predictive, and precise.
DescriptionThe 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.
ResponsibilitiesAnalyze 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.
Minimum qualifications:
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.
Preferred qualifications:
Experience installing common packaged software on Linux.
Familiarity 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.
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 $162,000 - $182,000+ bonus + equity + 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. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.
Verily Health Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Skills Required
- BA/BS degree in Computer Science or related technical field or equivalent practical experience
- 6+ years experience with Python and/or Java and ability to write SQL queries of modest complexity
- Experience working with life science or biomedical research data and running batch workflows or analytical statistical analyses
- Demonstrated creative problem-solving, strong analytical skills, ownership, and proactive attitude
- Excellent communication and project management skills with track record handling multiple customers and work streams
- Must not require employer-sponsored work authorization now or in the future for employment in the United States
- Experience installing common packaged software on Linux
- Familiarity with public cloud services such as Google Cloud Platform, Amazon Web Services and/or Microsoft Azure
- Experience building and deploying Docker images
- Enthusiasm for leveraging technology to drive collaboration and innovation in biomedical research
Verily Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Verily and has not been reviewed or approved by Verily.
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Retirement Support — Feedback suggests the 401(k) program and employer match are notably competitive and valued. This support is seen as a standout element within the total rewards package.
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Parental & Family Support — Parental leave is characterized as generous versus common industry practice. This breadth of family support stands out within the overall benefits offering.
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Healthcare Strength — Health coverage is described as comprehensive across medical, dental, and vision, with HSA support referenced. These features contribute to a perception of robust healthcare benefits.
Verily Insights
What We Do
Verily is an Alphabet company combining a data-driven, people-first approach to bring the promise of precision health to everyone, every day. We are focused on generating and applying evidence from a wide variety of sources to change the way people manage their health and the way healthcare is delivered - shifting the paradigm from “one size fits all” medicine to one focused on a more comprehensive view of the individual that leads to a more personalized path forward. For more information, please visit verily.com.
