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TetraScience
Actively Hiring
Data platform for life sciences51-200 Employees
  • B2B
  • Growth Stage
    Expanding market presence
  • Top Investors
    This company has received a significant amount of investment from top investors
  • YC Funded
    Startup funded by Y Combinator

Jobs at TetraScience

TetraScience is venture-backed startup that is building a data integration and analytics platform for the life sciences. Our mission is to use data to drive the next generation of medicines. We serve 70+ customers and 12 of the top 20 global biopharma. For them, we stream data from labs, databases, and collaborators to a cloud-based dashboard; our customers use our software to visualize, integrate, and analyze that data. We are proud to work with a passionate, intelligent, and collaborative team that is mission-driven. Looking to grow your career and a business? We'd love to hear from you.
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Scientific Data Architect - Tarrytown, NY

NewPosted 1 week ago

Scientific Data Architect - Tarrytown, NY

  • PhD with +4 years, Masters with +6 years, or Bachelors with +8 years of industry experience in life sciences with extensive domain knowledge in drug discovery (target ID through lead optimization), preclinical development, CMC (all drug modalities), product quality testing, or pharma manufacturing.
Engineering

Lead Software Platform Engineer, MLOps

NewPosted 3 weeks ago

Lead Software Platform Engineer, MLOps

  • Own the technical architecture of the AI/ML platform: the service and API surface our customers use to run models and agents against their own scientific data, and that Applied AI and data engineering teams build against internally.
  • Own the end-to-end model and prompt lifecycle across Databricks MLflow and AWS Bedrock, includi...
Engineering

Principal Architect, Platform & Data Lake

NewPosted 1 month ago

Principal Architect, Platform & Data Lake

  • Enterprise Data & AI Platforms: Multi-tenant architecture, RBAC/ABAC, IAM, tenancy models, observability platforms, internal builder platform, cost governance.
  • Data, Knowledge, and Developer Products: Search, Semantic layer foundations, knowledge and ontology layers and products, external developer platforms.