Staff Engineer -- JMP Consultant

1 Month ago β€’ All levels

About the job

Job Description

As a Staff Engineer -- JMP Consultant, you will be responsible for installing, configuring, and supporting JMP software and JMP Live. You will also manage user access and permissions, provide onboarding and training, troubleshoot issues, and develop data analysis and visualizations using JMP and JMP Live. You will collaborate with scientists, researchers, and data teams to understand data requirements and tailor visualizations to specific needs. This role requires expertise in JMP, JMP Live, and a general understanding of life sciences and healthcare.
Must have:
  • JMP
  • JMP Live
  • Life-sciences & Healthcare - General Experience

Company Description

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale β€” across all devices and digital mediums, and our people exist everywhere in the world (18500+ experts across 36 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

Job Description

Must have skills : JMP, JMP Live, Life-sciences & Healthcare - General Experience

Job Description :

JMP & JMP Live Installation & Setup:

  • Install and configure JMP software on workstations and servers.
  • Support deployment of JMP Live for collaborative data analysis across teams.

User Access Management:

  • Manage user access and permissions for JMP and JMP Live, ensuring compliance with security protocols.
  • Provide onboarding and training support for new users.
  • Troubleshoot and resolve user access issues, ensuring seamless data access.

Data Analysis & Visualization Development:

  • Use JMP to analyze and visualize large datasets, especially within the context of life sciences Develop dynamic, interactive visualizations and dashboards using JMP Live for real-time data sharing and collaboration.
  • Create and maintain reports, graphs, and statistical analyses that are easy to interpret and help drive business decisions.
  • Collaborate with scientists, researchers, and data teams to understand data requirements and tailor visualizations to specific needs.
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