Job Details

Technical Solutions Engineer

  2025-11-08     Indotronix Avani Group     San Bruno,CA  
Description:

Title: Sr Technical Solutions Engineer

Duration: 6+ months (100% Long term contract)

Payrate: $110-125 hourly on W2

Location: San Bruno, CA or Dallas, TX or Boston, MA Preferred

Onsite expectations: Hybrid 3x/week

Python Cloud support GCP AWS (Workbench or workflow) “Solution Engineer”


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.


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 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.


Qualifications

Minimum qualifications:

  • BA/BS degree in Computer Science or a related technical field or equivalent practical experience.
  • 7+ 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.
  • Passion for using technology to advance biomedical insights, human health and Experience working with life science or biomedical research data, running batch workflows or analytical statistical analyses.
  • Experience with public cloud services such as Google Cloud Platform, Amazon Web Services and/or Microsoft Azure.
  • Experience installing common packaged software on Linux, building and deploying Docker images.


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