Scientific Data Engineer

Who We Are

TetraScience is the Scientific Data and AI 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.

TetraScience 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 TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships: Latest News and Announcements | TetraScience 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 TetraScience 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.

What You Will Do

• Use AI agents to build comprehensive data schemas and parsers for pre-clinical data (main data sources: R&D lab instruments, manufacturing, CRO, CDMO, ELN, LIMS) with various data formats: .xlsx, .pdf, .txt, .raw, .fid, many other vendor binaries
• Extract reusable schema components and parsing functions, and productize them into Python libraries
• Build high-quality data pipelines with full unit test and integration test coverage to produce high-fidelity data
• Build data applications, reports, and dashboards using React, Streamlit, Jupyter notebook, etc.
• Work closely with product managers, project managers, business analysts, data architects, and ML engineers to deliver best-in-class data products
• Drive value for the customers - verify the solution fulfills their requirements and provides value

Requirements:
What You Have Done

• Must have >5 years experience in Python and SQL
• Must have a degree in biology, chemistry, or relevant fields OR > 3 years of work experience in the pharmaceutical or biotech industry in scientific data engineering, data modeling, or data analytics.
• Experience with data plotting dashboarding tools like React and/or Streamlit is strongly preferred
• Experience working with pre-clinical data and lab scientists is strongly preferred
• 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

Benefits:
• 100% employer-paid benefits for all eligible employees and immediate family members
• Unlimited paid time off (PTO)
• 401K
• Flexible working arrangements - Remote work
• Company paid Life Insurance, LTD/STD
• A culture of continuous improvement where you can grow your career and get coaching

• We are not currently providing visa sponsorship for this position