Scientific Data Engineer

Overview

Tetra Science is the Scientific Data and AI Cloud company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes.

Tetra Science is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world's dominant players in compute, cloud, data, and AI infrastructure have converged on Tetra Science as the de facto standard, entering into co-innovation and go-to-market partnerships:
Latest News and Announcements | Tetra Science Newsroom.

In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether Tetra Science is the right fit for you from a values and ethos perspective. It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building.

If you join us, you will be expected to embody its contents each day.

• Research data acquisition strategy for scientific lab instrumentation
• Research and product ionize file parsers for instrument output files (.xlsx, .pdf, .txt, .raw, .fid, many other vendor binaries)
• Design and build data models and the corresponding data pipelines, unit tests, integration tests, and reusable utility functions
• Cross-analyze instrument data with the same instrument type or scientific workflow to design common data model components
• Build visualization, report, and dashboards using Streamlit, Tableau, Jupyter notebook, etc
• Drive value for the customers - test and make sure the solution fulfills their requirements and provides value

• Must have >3 years of experience in Python and SQL
• Must have a degree in biology or chemistry or relevant fields OR > 3 years of work experience in pharmaceutical or biotech industry in scientific data engineering, data modeling, or data analytics
• Experience with data plotting dashboarding tools like Streamlit, Tableau, Jupyter Notebook is a plus
• Passionate about data problems and using AI and LLM to come up with creative ideas
• Excellent communication skills, attention to detail, and the confidence to take control of project delivery
• Quickly understand a highly technical product and effectively communicate with product management and engineering
• Proactive problem-solving skills
• High-bandwidth: thrives when managing multiple simultaneous projects
• Intellectually curious:
  Unwavering drive to learn and know more every day
• Ability to think creatively about how to solve project risks without reducing quality
• Team player and ability to "roll up your sleeves" and do what it takes to make the team successful

• 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

We are not currently providing visa sponsorship for this position