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 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 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.