Job Description

Company Overview

TetraScience is the Scientific Data and AI Cloud company, catalyzing the Scientific AI revolution. We design and industrialize AI-native scientific data sets, bringing them to life in next-generation lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this vital new market, generating more revenue than all other companies combined. In the past year, dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships.

The Tetra Way: Candidates will be asked to review the "Tetra Way" letter, authored by our co-founder and CEO, Patrick Grady. This document is crucial for understanding if TetraScience is the right fit from a values and ethos perspective. You are encouraged to take it literally and reflect on your alignment with our unique approach to company and team building. If you join us, you will be expected to embody its contents daily.

Candidate Profile

You thrive on collaboration and elevate those around you. You love working with team members, customers, field engineers, and executives, inspiring them to do their best. You are relentlessly driven to excel in your craft, passionate about building, observing, and operating distributed systems at scale in production. You understand the challenges and trade-offs involved in deploying new systems and are willing to push the boundaries of scale. You consistently seek understanding and clarity, viewing every interaction as a learning opportunity. You are not afraid to ask questions and possess the humility and confidence to not always be the smartest person in the room.

Role Responsibilities

• Translate scientific data workflows into solutions leveraging 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 (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.
• Collaborate with customers to test solutions and ensure they meet requirements and solve their needs.
• Provide real-time problem-solving by quickly internalizing customer needs or 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

• Experience:
  • 5+ years leveraging Python for scripting, automation, data analysis, data engineering, and/or data science.
  • 3+ years in life sciences (e.g., at the bench in Biopharma, bioinformatics, or in the vendor space).
• Skills:
  • Ability to quickly understand a highly technical product and effectively communicate with product management and engineering.
  • Passion for science and building solutions to make data more accessible to end-users.
  • Intellectual curiosity: unwavering drive to learn more every day.
  • Intellectual resilience: ability to overcome setbacks and find alternative solutions.
  • Excellent communication skills.
  • Attention to detail.

Employment Details

• Employment Type: Full-time
• Location Type: Remote
• Salary: Not specified