[Remote] Scientific Data Architect/Senior Scientific Data Architect - Boston at TetraScience

Boston, Massachusetts, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Scientific Data Management, AI & Cloud ComputingIndustries

Skills

Key technologies and capabilities for this role

Distributed SystemsSystem BuildingSystem DeploymentScalabilityCollaborationTeamworkOperational Excellence

Questions & Answers

Common questions about this position

Is this position remote?

Yes, the position is remote.

What is the salary for this role?

This information is not specified in the job description.

What skills and experience are required for this position?

Candidates need more than 5 years of Python experience for scripting, automation, data analysis, data engineering, or data science, plus over 3 years in life sciences such as biopharma, bioinformatics, or vendor space. Additional requirements include the ability to quickly grasp technical products, communicate with product and engineering teams, and a passion for science and accessible data solutions.

What is the company culture like at TetraScience?

The company emphasizes 'The Tetra Way' values outlined in a letter by co-founder and CEO Patrick Grady, which candidates should review for alignment. They value collaboration, elevating others, passion for distributed systems, seeking clarity in interactions, and humility with confidence.

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

Strong candidates align with The Tetra Way values, have extensive Python and life sciences experience, demonstrate intellectual curiosity, excel in collaboration and communication, and show passion for building scalable scientific data solutions.

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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