[Remote] Senior Software Engineer - 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 AcquisitionData ManagementSoftware DevelopmentAgile MethodologyProblem SolvingScalabilityHigh AvailabilityResiliency

Questions & Answers

Common questions about this position

Is this position remote?

Yes, the position is fully remote with flexible working arrangements.

What are the required skills for this role?

Candidates need 8+ years of experience designing and developing distributed systems, proficiency with Node.js, Typescript, Docker, cloud providers like AWS/Azure/GCP, threading/parallelism/concurrency, networking concepts, testing, on-premise support, cross-platform development, debugging, communication, and a CS degree.

What benefits does TetraScience offer?

Benefits include 100% employer-paid benefits for employees and immediate family, unlimited PTO, 401K, flexible remote work, and company-paid Life Insurance, LTD/STD.

What is the company culture like at TetraScience?

Candidates must review the 'Tetra Way' letter by the CEO to assess cultural and values alignment, and the role involves working with a geographically dispersed team, emphasizing self-starting, resilience, growth, and open feedback.

What makes a strong candidate for this position?

A strong candidate has 8+ years in distributed systems for large datasets, proficiency in Node.js/TypeScript/Docker/cloud, plus factors like Python or Life Sciences experience, and aligns with the Tetra Way values.

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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