Scientific Data Architect/Senior Scientific Data Architect

>5 years leveraging Python for scripting, automation, data analysis, data engineering, and/or data science
>3 years in life sciences, whether at the bench in Biopharma, bioinformatics, or in the vendor space
Ability to quickly understand a highly technical product and effectively communicate with product management and engineering
Excellent communications skills, attention to detail, and the confidence to take control of project delivery
Team player and ability to “roll up your sleeves” and do what it takes to make the team successful

Translate scientific data workflows into a solution leveraging the Tetra Data Platform
Own, scope, prototype, and implement solutions ranging from: Programmatically interrogate proprietary instrument output file, Data structure design using JSON schemas, Python-based parser development, Lab software (e.g. ELN/LIMS) integration via APIs, Data visualization in Python (using frameworks like Jupyter Notebooks or Streamlit and plotting tools like hvplot or bokeh) and/or BI tools (like Tableau, Spotfire, PowerBI)
Interview customers to understand key scientific and business requirements
Work with customers to test and ensure a solution fulfills their requirements and solves their need
Real-time problem solving by quickly internalizing customer needs or feedback, synthesizing the results, and proposing solutions
Proactively communicate implementation progress and deliver demos to customer stakeholders
Lead sprint-planning and prioritization for your use case or account
Facilitate internal project retrospective meetings and identify areas of improvement or productizable components
Assist product team to build and prioritize roadmap by understanding customers’ pain points within and outside Tetra Data Platform

hand on experience working leveraging cloud technologies (AWS, Azure, GCP) for solution design and architecture