Scientific Data Architect/Senior Scientific Data Architect - Boston

Position Overview

• Location Type: Remote
• Job Type: full
• Salary: Not Specified

TetraScience is the Scientific Data and AI Cloud company, catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets. They offer next-gen lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this market, with partnerships with dominant players in compute, cloud, data, and AI infrastructure.

About the Tetra Way: Candidates are encouraged to review the "Tetra Way" letter by co-founder and CEO Patrick Grady to understand the company's values and ethos. Alignment with these principles is considered crucial for potential employees.

Who You Are

• You thrive on collaboration and elevate those around you.
• You are passionate about building, observing, and operating distributed systems at scale in production.
• You understand the challenges and trade-offs in deploying new systems and are willing to push boundaries.
• You consistently seek understanding and clarity, viewing every interaction as a learning opportunity.
• You possess the humility and confidence to not always be the smartest person in the room.

Responsibilities

• Translate scientific data workflows into solutions using the Tetra Data Platform.
• Own, scope, prototype, and implement solutions including:
  • Programmatically interrogating proprietary instrument output files.
  • Data structure design using JSON schemas.
  • Python-based parser development.
  • Lab software (e.g., ELN/LIMS) integration via APIs.
  • Data visualization in Python (e.g., Jupyter Notebooks, Streamlit) and/or BI tools (e.g., Tableau, Spotfire, PowerBI).
• Interview customers to understand key scientific and business requirements.
• Test solutions with customers to ensure they meet requirements and solve needs.
• Provide real-time problem-solving by quickly understanding customer needs/feedback, synthesizing 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 for improvement or productizable components.
• Assist the product team in building and prioritizing the roadmap by understanding customer pain points within and outside the Tetra Data Platform.

Requirements

• >5 years of experience leveraging Python for scripting, automation, data analysis, data engineering, and/or data science.
• >3 years of experience in life sciences (e.g., at the bench in Biopharma, bioinformatics, or in the vendor space).
• Ability to quickly understand a highly technical product and communicate effectively with product management and engineering.
• Passionate about science and building solutions to make data more accessible to end-users.
• Intellectually curious with an unwavering drive to learn.
• Intellectually resilient, able to overcome setbacks and find alternate solutions.
• Excellent communication skills and attention to detail.