[Remote] Quality Engineer at TetraScience

India

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial IntelligenceIndustries

Requirements

Ability to quickly grasp complex use-cases from early-stage Scientific AI applications
Skills in creating comprehensive test plans
Proficiency in performing test automation

Responsibilities

Take ownership of the QA process and overall product quality
Review (incomplete in description, but implied as part of QA responsibilities)

Questions & Answers

Common questions about this position

Is this Quality Engineer position remote?

Yes, the position is fully remote.

What does the company culture at TetraScience emphasize?

TetraScience values innovation, creativity, collaboration, diversity, inclusion, mutual respect, support, growth, and continuous learning through training and development opportunities.

What are the main responsibilities of the Quality Engineer role?

The role involves quickly grasping complex use-cases from early-stage Scientific AI applications, creating comprehensive test plans, performing test automation, executing tasks to meet high standards, and collaborating with the team.

What salary or compensation does this role offer?

This information is not specified in the job description.

What should I know about TetraScience's values before applying?

Candidates must carefully review the Tetra Way letter by CEO Patrick Grady to ensure alignment with the company's values and ethos, as joining means embodying its contents daily.

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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