Job Description: Scientific Data Engineer

Position Overview

TetraScience is seeking a highly motivated and experienced Scientific Data Engineer to join our team. You will play a crucial role in the Scientific AI revolution by designing and industrializing AI-native scientific data sets, contributing to our next-generation lab data management solutions and AI-enabled outcomes.

Company Information

TetraScience is the Scientific Data and AI Cloud company, leading the market in catalyzing the Scientific AI revolution. We are the category leader, generating more revenue than all other companies in the aggregate. Major players in compute, cloud, data, and AI infrastructure have partnered with TetraScience, recognizing us as the de facto standard.

The Tetra Way: Candidates are encouraged to review the "Tetra Way" letter authored by our CEO, Patrick Grady, to understand our values and ethos. Alignment with this document is essential for success at TetraScience.

Responsibilities

• Research data acquisition strategy for scientific lab instrumentation.
• Research and productionize file parsers for instrument output files (e.g., .xlsx, .pdf, .txt, .raw, .fid, various vendor binaries).
• Design and build data models and corresponding data pipelines.
• Develop unit tests, integration tests, and reusable utility functions.
• Cross-analyze instrument data to design common data model components.
• Build visualizations, reports, and dashboards using tools like Streamlit, Tableau, and Jupyter Notebook.
• Drive customer value by testing and ensuring the solution meets their requirements.

Requirements

Must-Haves:

• 3+ years of experience in Python and SQL.
• PhD degree in biology, chemistry, or a relevant field.
• Extensive wet lab experience, preferably with HPLC and Mass Spec.
• Experience with one or more of the following instrument software:
  • Waters LCs (Empower, MassLynx)
  • Thermo Fisher LCs (Chromeleon, Xcalibur)
  • Cytiva LCs (Unicorn)
  • Shimadzu LCs (LabSolution)
  • Sciex LCs (Sciex)
  • Agilent LCs (OpenLab, ChemStation)

Desired Skills:

• Experience with data plotting and dashboarding tools (Streamlit, Tableau, Jupyter Notebook).
• Passion for data problems and applying AI/LLM for creative solutions.
• Excellent communication skills, attention to detail, and confidence in project delivery.
• Ability to quickly understand highly technical products and communicate effectively with product management and engineering.
• Proactive problem-solving skills.
• High-bandwidth: ability to manage multiple simultaneous projects.
• Intellectually curious with a drive to learn.
• Creative thinking to solve project risks without compromising quality.
• Team player with a willingness to "roll up your sleeves" and contribute to team success.

Benefits

• Competitive Salary and equity in a fast-growing company.
• Supportive, team-oriented culture of continuous improvement.
• Generous paid time off (PTO).
• Flexible working arrangements (Remote work).

Additional Details

• Employment Type: Full-time
• Workplace: Remote
• Language: English
• Department: Engineering
• Published: 2025-07-08
• Remote: Yes
• Visa Sponsorship: Not currently provided.