[Remote] Senior Software Engineer - Agents at TetraScience

United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Scientific Data, AI Cloud, Enterprise SoftwareIndustries

Skills

Key technologies and capabilities for this role

C#.NET FrameworkTypeScriptAutomated TestingGitHub ActionsCI/CDProduction DebuggingAWS

Questions & Answers

Common questions about this position

What technical skills are required for the Senior Software Engineer role?

The role requires extensive experience in C#, .NET Framework, and TypeScript, along with proficiency in AWS services like DynamoDB, RDS, SQS, Lambda, and API Gateway, automated testing, GitHub Actions for CI/CD, and production debugging.

What is the salary or compensation for this position?

This information is not specified in the job description.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the company culture like at TetraScience?

TetraScience emphasizes alignment with 'The Tetra Way' values letter by the CEO, which candidates must review to ensure fit, and expects employees to embody its contents daily; they describe their team as dynamic.

What makes a strong candidate for this Senior Software Engineer position?

A strong candidate has extensive experience in C#/.NET, TypeScript, AWS services, microservices architecture, automated testing, CI/CD with GitHub Actions, production debugging, and excellent communication skills.

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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