[Remote] Software Engineer III - Data Acquisition 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, Lab Data ManagementIndustries

Skills

Key technologies and capabilities for this role

Data AcquisitionConnectorsScientific InstrumentsData SourcesAgile Software DevelopmentProduct Management

Questions & Answers

Common questions about this position

What benefits are offered for this position?

Benefits include 100% employer-paid benefits for all eligible employees and immediate family members, unlimited paid time off (PTO), 401K, company paid Life Insurance, LTD/STD, flexible working arrangements with remote work, and a culture of continuous improvement.

Is this a remote position?

Yes, this is a fully remote position with flexible working arrangements.

What are the key skills required for this role?

Required skills include 5+ years of experience developing distributed systems for large datasets, proficiency with Node.js, Typescript (or Python), databases and SQL, familiarity with Docker and cloud providers like AWS, Azure, or GCP, and experience with unit/integration tests, Linux performance tuning, and debugging.

What is the company culture like at TetraScience?

The company follows the 'Tetra Way' values outlined by the CEO, emphasizes a culture of continuous improvement with career growth and coaching, and supports working with a geographically dispersed team across time zones.

What makes a strong candidate for this Data Acquisition Engineer role?

Strong candidates have 5+ years in distributed systems for large datasets, proficiency in Node.js/Typescript or Python with databases/SQL, container/cloud experience, testing skills, and experience in Life Sciences or scientific data is a big plus; a CS degree or equivalent and strong communication skills are also required.

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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