Scientific Data Architect

7 hours ago

New York, New York, United States TetraScience Full time
About TetraScience

TetraScience is the Scientific Data and AI Cloud company with a mission to radically improve and extend human life. Our team is dedicated to designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next-generation lab data management products, scientific use cases, and AI-based outcomes.

Our Core Values

We operate as one team guided by our core values: Transparency and Context, Trust and Collaboration, Fearlessness and Resilience, Alignment with Customers, Commitment to Craft, Equality of Opportunity. We seek out the best of the best who bring unique perspectives and talents and embody our common values.

Job Description

We are looking for a highly skilled Solution Architect to work closely with our scientific end-users to design, architect, and deliver highly impactful solutions to pharmaceutical and biotech customers. As a Solution Architect, you will work to understand scientists' and R&D IT analysts' needs, analyze their data environment, assist in the design and implementation of our solutions, and aid in integration with clients' data systems.

Key Responsibilities
  • Work with lab scientists and lab managers (or R&D IT with lab data responsibilities) to translate and define scientific use cases, creating a data workflow to develop a solution using the Tetra Data Platform.
  • Work with the Product and Engineering teams to create product plans - both one-off and platform-based.
  • Work with Customer Success and Professional Services to help the customer implement by managing change management, while collecting feedback for potential improvements.
  • Synthesize customer feedback into a vision for current and future customers, transforming the R&D Data journey.
Requirements
  • Technical Presales experience as a Solution Architect with a software engineering, cloud, web API, or Data Engineering background. The ideal candidate will have implemented, leveraging AWS.
  • Professional experience in Life Sciences R&D/IT or Informatics. Previous experience as a practicing bench or data scientist highly valued.
  • Deep understanding of Life Sciences lab information systems such as ELN, CDS, MS, NGS software, LIMS, Registration, LES, analytics, visualization suites.
  • Deep understanding of drug discovery, development, and manufacturing processes.
  • Excellent technical, business, written, and verbal communication skills.
  • Adept at handling multiple projects and competing resource allocation.
  • Intellectually curious: Unwavering drive to learn and know more every day.
  • Ability to deal with ambiguity and thrive in a constantly changing and evolving work environment.
Benefits
  • 100% employer-paid benefits for all eligible employees and immediate family members.
  • Unlimited paid time off (PTO).
  • 401K.
  • Flexible working arrangements - Remote work + office as needed.
  • Company paid Life Insurance, LTD/STD.

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