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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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Engineering

Senior Manager, Scientific Data Engineering

NewPosted 2 weeks ago

Senior Manager, Scientific Data Engineering

  • Supervise and guide SDEs in each squad in planning, implementation, testing, and documentation. Foster a culture of accountability, collaboration, and continuous improvement across teams.
  • Lead by example - comfortable with diving deeper into organizational and technical challenges and help the team navigate ambiguity and vagueness.
Engineering

Tech Lead, Tetra Apps Platform

NewPosted 2 weeks ago

Tech Lead, Tetra Apps Platform

  • Own the technical architecture of the Tetra Apps platform: how applications are developed, packaged, provisioned, routed, authenticated, isolated, observed, upgraded, and retired.
  • App runtime. Design and evolve the app proxy and routing layer, container provisioning and lifecycle on ECS, per-app identities (service accounts, IAM roles, database credentials), and the install, upgrade, and rollback paths that must work in both multitenant cloud and customer-hosted environments.
Engineering

Tech Lead Scientific Data Engineering

NewPosted 3 weeks ago

Tech Lead Scientific Data Engineering

  • Transparency and Context - We trust our people will make the right decisions and overcome any challenges when given data and context.
  • Trust and Collaboration - We believe there can only be trust when there is transparency. We are committed to always communicating openly and honestly.
Other

Scientific Data Architect - Tarrytown, NY

NewPosted 1 month 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

Principal Architect, Platform & Data Lake

NewPosted 2 months 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.