[Remote] Platform Architect at TetraScience

United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Scientific Data, AI Cloud, Data ManagementIndustries

Skills

Key technologies and capabilities for this role

Data ArchitectureAICloudScientific DataCollaborationSoftware Design

Questions & Answers

Common questions about this position

Is this position remote?

Yes, this is a fully remote position.

What experience is required for this role?

Candidates need 10+ years of experience designing and building highly scalable data platforms, along with significant experience in AWS and Services-Architecture.

What is the salary or compensation for this position?

This information is not specified in the job description.

What is the company culture like at TetraScience?

TetraScience values collaboration, elevating others, passion for craft, relentless pursuit of excellence, ownership, continuous learning, humility, and confidence, as outlined in the 'Tetra Way' letter from the co-founder and CEO.

What makes a strong candidate for this Platform Architect role?

A strong candidate is a collaborative leader with 10+ years in scalable data platforms and AWS, who owns architecture, mentors teams, drives innovation, and aligns with TetraScience's values in the 'Tetra Way' letter.

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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