[Remote] Scientific Data Architect - New York at TetraScience

New York, New York, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Scientific Data, AI Cloud, Data Management, Life SciencesIndustries

Skills

Key technologies and capabilities for this role

Data ArchitectureScientific DataAICloudData ManagementPrototypingDemoingCollaboration

Questions & Answers

Common questions about this position

Is this position remote or does it require working in an office?

The position is remote.

What education and experience are required for this role?

A PhD with 7+ years or Masters with 10+ years of industry experience in life sciences is required.

What domain knowledge is needed for this position?

Extensive domain knowledge in drug discovery (target ID through lead optimization), preclinical development, CMC (all drug modalities), or product quality testing is required.

What are the company values and how important are they?

Candidates will be asked to review the 'Tetra Way' letter authored by the CEO to understand the company's values and ethos, and alignment with these principles is critical for success.

What makes a strong candidate for this Scientific Data Architect role?

Strong candidates are product-minded, outcome-obsessed self-starters with hands-on experience prototyping AI/ML-driven use cases, deep biopharma domain knowledge, and excellent communication skills for cross-functional collaboration.

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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