TetraScience

Scientific Data Engineer

Ireland

Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Scientific Data, AI Cloud, Biotechnology, PharmaceuticalsIndustries

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.

Skills

Data Engineering
Data Modeling
Data Pipelines
File Parsers
Streamlit
Tableau
Jupyter Notebook
Scientific Data
AI

TetraScience

Cloud platform for scientific data management

About TetraScience

TetraScience offers a cloud-based platform called the Scientific Data Cloud, which helps biopharmaceutical companies manage and harmonize their scientific data for research and development, quality assurance, and manufacturing. The platform connects various lab instruments and software, streamlining data management and significantly reducing task completion time. TetraScience's vendor-neutral and open design allows it to work with any lab equipment, making it a flexible solution in the life sciences sector. The company's goal is to enhance scientific outcomes by preparing data for artificial intelligence and machine learning applications.

Boston, MassachusettsHeadquarters
2019Year Founded
$113.8MTotal Funding
SERIES_BCompany Stage
AI & Machine Learning, Biotechnology, HealthcareIndustries
51-200Employees

Benefits

Unlimited PTO
100% company paid health, dental, & vision
Company paid life insurance
401k savings
Company paid disability insurance
Equity program
Flexible work arrangements

Risks

Rapid AI development may outpace TetraScience's integration capabilities, risking obsolescence.
Dependency on partners like Google Cloud and NVIDIA could pose risks if disrupted.
International expansion may expose TetraScience to regulatory and compliance challenges.

Differentiation

TetraScience offers a vendor-neutral, open, cloud-native platform for scientific data management.
The platform integrates with any lab equipment or software, enhancing flexibility and adaptability.
TetraScience's Scientific Data Cloud centralizes and harmonizes data, preparing it for AI/ML applications.

Upsides

Partnerships with NVIDIA and Google Cloud enhance AI-native scientific datasets and capabilities.
Collaboration with Databricks accelerates the Scientific AI revolution in life sciences.
Bayer AG partnership maximizes scientific data value, driving innovation in biopharma.

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