TetraScience

Software Engineer III - Lab Data Automation

United States

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Scientific Data, AI Cloud, Lab Data ManagementIndustries

Job Description: Software Engineer

Employment Type: Full-time Location Type: Remote

Position Overview

TetraScience is the Scientific Data and AI Cloud company, catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets. We offer next-generation lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this vital new market, with significant revenue and partnerships with dominant players in compute, cloud, data, and AI infrastructure.

  • Company Mission: To industrialize AI-native scientific data sets and drive the Scientific AI revolution.
  • Company Culture: Candidates are encouraged to review the "Tetra Way" letter from the CEO, which outlines the company's values and ethos. Alignment with this document is considered crucial for potential hires.

Responsibilities

As a member of the Tetra engineering team, you will:

  • Build platforms, SDKs, and other tools using various languages and software stacks.
  • Self-start and make concrete progress in ambiguous or conflicting requirement situations.
  • Design and develop efficient solutions to automate lab data flows and build tools for others.
  • Address the resiliency, scale, and high availability requirements of these tools.
  • Deliver a high-quality product following agile software development methodologies.
  • Partner with the product management team to translate vision and ideas into reality.
  • Collaborate effectively within a geographically dispersed team across different time zones.
  • Embrace learning, growth, and challenges, speaking up and representing your position while remaining resilient and open to constructive feedback.

Requirements

Experience and Skills:

  • 5+ years of experience developing distributed systems for collecting and processing large datasets.
  • Experience with full-stack development.
  • Proficiency with Node.js, Typescript, and associated technologies, OR Python and associated technologies.
  • Proficiency with web front-end frameworks like React.
  • Familiarity with container technologies like Docker.
  • Familiarity with cloud infrastructure providers such as AWS, Azure, or GCP.
  • Experience writing maintainable unit tests and automated integration tests.
  • Good application debugging skills.
  • Strong communication skills, including technical writing.
  • Experience in Life Sciences or scientific data is highly desirable, ideally with direct wet lab experience or experience supporting scientists.

Benefits

  • 100% employer-paid benefits for all eligible employees and immediate family members.
  • Unlimited paid time off (PTO).
  • 401K.
  • Flexible working arrangements, including remote work.
  • Company-paid Life Insurance, LTD/STD.
  • A culture of continuous improvement with opportunities for career growth and coaching.
  • No visa sponsorship is available for this position.

Additional Details

  • Published: 2025-07-14
  • Department: Engineering
  • Language: English

Skills

Software Development
Data Automation
SDK Development
Agile Methodologies
Problem Solving
Resiliency
Scalability
High Availability

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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